Datasets:
Downstep compound pitch-accent benchmark: 89,539 compounds, listed/unlisted/hard
Browse files- .gitattributes +1 -0
- README.md +268 -0
- baseline_results.json +1834 -0
- dev.jsonl +0 -0
- mora_validation.json +1083 -0
- stats.json +60 -0
- test.jsonl +0 -0
- train.jsonl +3 -0
.gitattributes
CHANGED
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@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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+
train.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md
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| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- ja
|
| 4 |
+
license: bsd-3-clause
|
| 5 |
+
license_link: https://opensource.org/license/bsd-3-clause
|
| 6 |
+
pretty_name: Downstep compound pitch-accent benchmark (listed / unlisted / hard)
|
| 7 |
+
task_categories:
|
| 8 |
+
- token-classification
|
| 9 |
+
tags:
|
| 10 |
+
- japanese
|
| 11 |
+
- pitch-accent
|
| 12 |
+
- prosody
|
| 13 |
+
- tts
|
| 14 |
+
- openjtalk
|
| 15 |
+
- compounds
|
| 16 |
+
- generalization
|
| 17 |
+
- data-splits
|
| 18 |
+
- multi-label
|
| 19 |
+
annotations_creators:
|
| 20 |
+
- machine-generated
|
| 21 |
+
language_creators:
|
| 22 |
+
- expert-generated
|
| 23 |
+
size_categories:
|
| 24 |
+
- 10K<n<100K
|
| 25 |
+
configs:
|
| 26 |
+
- config_name: default
|
| 27 |
+
data_files:
|
| 28 |
+
- split: train
|
| 29 |
+
path: train.jsonl
|
| 30 |
+
- split: dev
|
| 31 |
+
path: dev.jsonl
|
| 32 |
+
- split: test
|
| 33 |
+
path: test.jsonl
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| 34 |
+
---
|
| 35 |
+
|
| 36 |
+
# Downstep compound pitch-accent benchmark
|
| 37 |
+
|
| 38 |
+
**Japanese noun compounds, their mora segmentation, and every accent their source
|
| 39 |
+
dictionaries attest. Built so that "the model has never seen this compound" is a
|
| 40 |
+
condition you can actually turn on, rather than a claim you have to trust.**
|
| 41 |
+
|
| 42 |
+
> **No human annotation is present in this release.** Every accent label here is
|
| 43 |
+
> dictionary-derived. `docs/ANNOTATION_GUIDELINES.md` ships the protocol, the CSV
|
| 44 |
+
> format and the agreement statistics for collecting native-speaker judgements on
|
| 45 |
+
> novel compounds — but that collection has not happened, and nothing in this
|
| 46 |
+
> repository should be read as if it had. There are no annotator IDs, no agreement
|
| 47 |
+
> scores and no human-adjudicated items.
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| 48 |
+
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| 49 |
+
---
|
| 50 |
+
|
| 51 |
+
## Sources and licences
|
| 52 |
+
|
| 53 |
+
Two independently produced lexicons. Downstep reads the copies installed by
|
| 54 |
+
`unidic-lite` and `pyopenjtalk` and never fetches anything over the network.
|
| 55 |
+
|
| 56 |
+
| Source | Holder | Licence | Reached via |
|
| 57 |
+
|---|---|---|---|
|
| 58 |
+
| **UniDic 2.1.2** (unidic-mecab) | The UniDic Consortium / NINJAL | GPL **/** LGPL **/** BSD 3-Clause, tri-licensed — **Downstep relies on the BSD option** | `unidic-lite` |
|
| 59 |
+
| **NAIST-jdic** (Open JTalk's system dictionary) | Nara Institute of Science and Technology | BSD 3-Clause | `pyopenjtalk` |
|
| 60 |
+
|
| 61 |
+
**Attribution both licences require**, reproduced in full in [`NOTICE`](../NOTICE) and
|
| 62 |
+
required of anyone redistributing these rows:
|
| 63 |
+
|
| 64 |
+
- Retain the copyright notice, the list of BSD 3-Clause conditions and the warranty
|
| 65 |
+
disclaimer.
|
| 66 |
+
- Do **not** use "The UniDic Consortium", "NINJAL", "Nara Institute of Science and
|
| 67 |
+
Technology" or their contributors to endorse or promote anything derived from this
|
| 68 |
+
data without prior written permission. Downstep makes no such endorsement claim.
|
| 69 |
+
|
| 70 |
+
The BSD option is what makes the derived rows redistributable at all: under the GPL
|
| 71 |
+
option a redistributed derivative would have to be GPL, which is why the choice is
|
| 72 |
+
stated explicitly rather than left to the reader.
|
| 73 |
+
|
| 74 |
+
The tooling in this repository is Apache-2.0. The data rows below are governed by
|
| 75 |
+
BSD 3-Clause through their sources.
|
| 76 |
+
|
| 77 |
+
### What is redistributed, and what is not
|
| 78 |
+
|
| 79 |
+
**Redistributed:** derived rows — surface, reading, mora segmentation, the set of
|
| 80 |
+
attested accents, the component decomposition, and the split/stratum labels.
|
| 81 |
+
|
| 82 |
+
**Not redistributed:** the dictionaries themselves, in compiled or CSV form; any
|
| 83 |
+
audio; any human judgement. `downstep.lexicon.load_lexicons()` rebuilds the local
|
| 84 |
+
cache (`data/lexicon/*.jsonl`, git-ignored) from the installed packages in ~20 s.
|
| 85 |
+
|
| 86 |
+
Measured in the cached dump on 2026-09-03 (`make lexicon`, then a count over the
|
| 87 |
+
JSONL):
|
| 88 |
+
|
| 89 |
+
| | UniDic 2.1.2 | NAIST-jdic |
|
| 90 |
+
|---|---:|---:|
|
| 91 |
+
| entries | 751,705 | 788,331 |
|
| 92 |
+
| distinct surfaces | 568,123 | 461,975 |
|
| 93 |
+
| noun entries | 277,189 | 455,743 |
|
| 94 |
+
| distinct noun surfaces with an accent | 258,371 | 418,671 |
|
| 95 |
+
| noun entries recording **more than one** accent | 21,568 | 0 |
|
| 96 |
+
| noun surfaces whose accents disagree **across** entries | 24,844 | 5,854 |
|
| 97 |
+
|
| 98 |
+
Those two right-hand columns are the raw material for the multiple-answer field.
|
| 99 |
+
NAIST-jdic records one accent per entry, so its variation only appears when two
|
| 100 |
+
entries share a surface; UniDic records variation inside a single entry
|
| 101 |
+
(`"0,4,3,1"`, CSV-quoted — a naive `split(",")` both mis-counts the fields and
|
| 102 |
+
destroys exactly these rows).
|
| 103 |
+
|
| 104 |
+
---
|
| 105 |
+
|
| 106 |
+
## What one row is
|
| 107 |
+
|
| 108 |
+
A noun compound that satisfies **both** of:
|
| 109 |
+
|
| 110 |
+
1. It is a lexicalised entry in NAIST-jdic, so a lexicographer assigned it an accent.
|
| 111 |
+
That is the gold.
|
| 112 |
+
2. It decomposes into **two or more** morphemes whose readings compose back to the
|
| 113 |
+
compound's own reading, with 連濁 / 促音化 accounted for. That is what makes it a
|
| 114 |
+
composition problem rather than a lookup.
|
| 115 |
+
|
| 116 |
+
Cut points for (2) are constrained to a morphological analyser's boundaries. The
|
| 117 |
+
analyser is **UniDic** while the gold is **NAIST-jdic** — deliberately a different
|
| 118 |
+
dictionary, so the decomposition is not read off the answer. Without that constraint
|
| 119 |
+
the decomposition collapses: a naive dynamic program over dictionary surfaces splits
|
| 120 |
+
ファインマン into ファ+イン+マ+ン, because nearly every single kana is itself an entry,
|
| 121 |
+
and reading-consistency alone cannot reject it.
|
| 122 |
+
|
| 123 |
+
## Fields
|
| 124 |
+
|
| 125 |
+
| Field | Type | Description |
|
| 126 |
+
|---|---|---|
|
| 127 |
+
| `surface` | str | The compound |
|
| 128 |
+
| `reading` | str | Katakana reading, devoicing marks and interpuncts removed |
|
| 129 |
+
| `moras` | list[str] | Mora segmentation; `len(moras) == n_moras` is enforced at build time |
|
| 130 |
+
| `n_moras` | int | Mora count |
|
| 131 |
+
| `gold_accents` | list[int] | **A set, not a value.** `0` = 平板; `k` = nucleus on mora `k`, 1-indexed |
|
| 132 |
+
| `has_variation` | bool | `len(gold_accents) > 1` — the dictionaries attest more than one accent |
|
| 133 |
+
| `components` | list[obj] | Per component: `surface`, `reading`, `accent`, `n_moras`, `goshu`, `acon_type`, `in_lexicon` |
|
| 134 |
+
| `n_components` | int | Number of components (always ≥ 2) |
|
| 135 |
+
| `goshu` | str | 語種 of the compound, taken as the modal component value (和 / 漢 / 外 / 固 / 混) |
|
| 136 |
+
| `script` | str | `kanji` / `katakana` / `mixed` |
|
| 137 |
+
| `is_proper` | bool | The NAIST entry's POS is 固有名詞 |
|
| 138 |
+
| `all_components_in_lexicon` | bool | Every component was found in a source lexicon |
|
| 139 |
+
| `split` | str | `train` / `dev` / `test` |
|
| 140 |
+
| `hard` | bool | Test-only: **no** component of this compound occurs in any training compound |
|
| 141 |
+
| `source` | str | `naist-jdic`, or `naist-jdic+unidic` when the accent set draws on both |
|
| 142 |
+
|
| 143 |
+
### `gold_accents` is the multiple-accepted-answers field
|
| 144 |
+
|
| 145 |
+
Japanese pitch accent genuinely admits more than one correct answer for many words,
|
| 146 |
+
and the dictionaries record that. Scoring against a single "true" accent would
|
| 147 |
+
manufacture errors out of real variation. So:
|
| 148 |
+
|
| 149 |
+
- **Score membership**, not equality: a prediction is correct if it is *in*
|
| 150 |
+
`gold_accents`. `downstep.metrics.nucleus_exact_match` takes a set.
|
| 151 |
+
- `has_variation` marks these rows so they can be reported as their own stratum,
|
| 152 |
+
because a system that always guesses the majority variant looks better on them than
|
| 153 |
+
it deserves.
|
| 154 |
+
- This field records **lexicographic** variation between and within dictionaries. It
|
| 155 |
+
is not, and must not be presented as, a survey of how speakers pronounce these
|
| 156 |
+
words.
|
| 157 |
+
|
| 158 |
+
---
|
| 159 |
+
|
| 160 |
+
## Splits, conditions and strata — three different things
|
| 161 |
+
|
| 162 |
+
**Splits** partition the rows. Assignment is `sha1(surface)` thresholded, not a
|
| 163 |
+
shuffled seed, so adding new candidate words never moves an existing word between
|
| 164 |
+
splits and any machine reproduces the same partition.
|
| 165 |
+
|
| 166 |
+
| split | share | rows |
|
| 167 |
+
|---|---|---|
|
| 168 |
+
| `train` | 79.9% | **71,544** |
|
| 169 |
+
| `dev` | 10.0% (calibration and abstention threshold) | **8,959** |
|
| 170 |
+
| `test` | 10.1% | **9,036** |
|
| 171 |
+
|
| 172 |
+
Total: **89,539** compounds.
|
| 173 |
+
|
| 174 |
+
**Conditions** are not splits. `listed` and `unlisted` are the *same* test rows
|
| 175 |
+
evaluated twice, with the dictionary's whole-word entry present and then ablated at
|
| 176 |
+
query time. See [`docs/METHODOLOGY.md`](../docs/METHODOLOGY.md) for why the ablation
|
| 177 |
+
must be rebuilt per target — batching corrupted 47.7% of targets in the pilot.
|
| 178 |
+
|
| 179 |
+
**`hard` is a partition of the test set.** Two nested flags:
|
| 180 |
+
|
| 181 |
+
* `hard` (818 rows, 9.0% of test) — the
|
| 182 |
+
compound's **final** morpheme never occurs in any training compound. The final element
|
| 183 |
+
(後部要素) governs compound accent in the classical rules, so this is the linguistically
|
| 184 |
+
meaningful generalisation test.
|
| 185 |
+
* `hard_all` (105 rows) — *no* component occurs in training. Stricter,
|
| 186 |
+
but too small to carry a claim; kept as a stratum.
|
| 187 |
+
|
| 188 |
+
Reported separately, never averaged into the headline: a pilot found a memorisation-shaped
|
| 189 |
+
model gained **nothing** on unseen final components (58.3% vs 58.3%). The trained model does
|
| 190 |
+
better than that — but the split exists so that can be checked rather than assumed.
|
| 191 |
+
|
| 192 |
+
| stratum field | why it is a stratum |
|
| 193 |
+
|---|---|
|
| 194 |
+
| `is_proper` | Proper nouns are a different problem with different conventions; they are 66% of these rows (59,430 of 89,539) and are **reported on their own**, never folded into a single number |
|
| 195 |
+
| `goshu` | 和語 / 漢語 / 外来語 compounds follow different accent regularities |
|
| 196 |
+
| `n_components` | Two-part compounds are much easier than three-part ones |
|
| 197 |
+
| `n_moras` | Longer compounds have more positions to get wrong |
|
| 198 |
+
| `has_variation` | Rows with more than one accepted answer |
|
| 199 |
+
| `script` | Katakana (largely loanword) compounds behave unlike kanji ones |
|
| 200 |
+
|
| 201 |
+
Row counts, from `benchmarks/stats.json`:
|
| 202 |
+
|
| 203 |
+
| stratum | counts |
|
| 204 |
+
|---|---|
|
| 205 |
+
| script | kanji 55,237 · mixed 27,290 · katakana 7,012 |
|
| 206 |
+
| 語種 (`goshu`) | 和 34,760 · 固 25,085 · 漢 23,313 · 外 4,443 · 混 604 · 記号 570 · unknown 764 |
|
| 207 |
+
| components | 2 → 70,419 · 3 → 16,286 · 4 → 2,539 · 5+ → 295 |
|
| 208 |
+
| moras | 4 → 21,228 · 5 → 19,522 · 6 → 18,884 · 7 → 11,112 · 8+ → 18,793 |
|
| 209 |
+
| noun type | proper 59,430 · common 30,109 |
|
| 210 |
+
| more than one attested accent | **1,030** |
|
| 211 |
+
| every component in a lexicon | 89,539 (all of them — decomposition requires it) |
|
| 212 |
+
|
| 213 |
+
---
|
| 214 |
+
|
| 215 |
+
## Limitations, stated plainly
|
| 216 |
+
|
| 217 |
+
- **The gold is a dictionary's opinion.** Dictionaries disagree with each other and
|
| 218 |
+
with speakers. Where they disagree with each other the row keeps both answers; where
|
| 219 |
+
they disagree with speakers, this data cannot tell.
|
| 220 |
+
- **The variety recorded is a broadly Tokyo-based standard.** That is what these two
|
| 221 |
+
lexicons encode, so it is a scoping decision forced by the available data. It is
|
| 222 |
+
**not** a claim that other regional or generational accent systems are incorrect, and
|
| 223 |
+
a Downstep prediction is not a correction of anyone's speech.
|
| 224 |
+
- **These are all words that exist in a dictionary.** The target application is
|
| 225 |
+
compounds that do not. The ablation device is what bridges that gap, and its limits
|
| 226 |
+
are argued — not waved away — in `docs/METHODOLOGY.md`.
|
| 227 |
+
- **Reading-consistent decomposition rejects real compounds.** The rendaku model covers
|
| 228 |
+
連濁 and 促音化 but not 連声 or stem alternations (雨 → あま, 酒 → さか), so compounds
|
| 229 |
+
built on those are dropped rather than mis-segmented. That is a coverage limitation
|
| 230 |
+
the numbers do not show.
|
| 231 |
+
- **No speech.** No F0 contours, no durations, no speaker information. Accent here is
|
| 232 |
+
an integer, not a measurement.
|
| 233 |
+
- **Not a pronunciation dictionary.** Do not use these rows as a reference for how a
|
| 234 |
+
word "should" be said. For that, consult NHK日本語発音アクセント新辞典 or
|
| 235 |
+
明解日本語アクセント辞典.
|
| 236 |
+
|
| 237 |
+
## Out-of-scope uses
|
| 238 |
+
|
| 239 |
+
- As an authority on correct pronunciation, in education or assessment.
|
| 240 |
+
- To evaluate or rank speakers, or to flag any pronunciation as an error.
|
| 241 |
+
- As evidence about regional variation, which it contains no information about.
|
| 242 |
+
|
| 243 |
+
## Reproducing
|
| 244 |
+
|
| 245 |
+
```bash
|
| 246 |
+
pip install -e ".[all]"
|
| 247 |
+
make bench # writes benchmarks/{train,dev,test}.jsonl and benchmarks/stats.json
|
| 248 |
+
```
|
| 249 |
+
|
| 250 |
+
`scripts/build_bench.py` is the only path from the two dictionaries to these rows,
|
| 251 |
+
and it asserts its own `hard` property rather than trusting it. Nothing is pushed
|
| 252 |
+
anywhere: `--push` exists, defaults off, and refuses to publish on its own.
|
| 253 |
+
|
| 254 |
+
## Citation
|
| 255 |
+
|
| 256 |
+
```
|
| 257 |
+
Downstep: a compound pitch-accent benchmark with a dictionary-ablation
|
| 258 |
+
condition for words the TTS dictionary does not have.
|
| 259 |
+
Derived from UniDic 2.1.2 (The UniDic Consortium / NINJAL, BSD-3 option)
|
| 260 |
+
and NAIST-jdic (Nara Institute of Science and Technology, BSD-3).
|
| 261 |
+
No human annotation.
|
| 262 |
+
```
|
| 263 |
+
|
| 264 |
+
---
|
| 265 |
+
|
| 266 |
+
*Substantiates: **unlisted-word accuracy** — these rows plus the ablation condition are
|
| 267 |
+
what "the dictionary does not have this compound" is measured on; and **reproducibility**,
|
| 268 |
+
since `make bench` is the only path from the two dictionaries to them.*
|
baseline_results.json
ADDED
|
@@ -0,0 +1,1834 @@
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"combined_accuracy": 0.41688215736978207,
|
| 1732 |
+
"covered_accuracy": 0.988929889298893,
|
| 1733 |
+
"regressions": 0
|
| 1734 |
+
},
|
| 1735 |
+
{
|
| 1736 |
+
"threshold": 0.998848,
|
| 1737 |
+
"coverage": 0.04008127077946066,
|
| 1738 |
+
"combined_accuracy": 0.41466568156630956,
|
| 1739 |
+
"covered_accuracy": 0.9953917050691244,
|
| 1740 |
+
"regressions": 0
|
| 1741 |
+
},
|
| 1742 |
+
{
|
| 1743 |
+
"threshold": 0.99905,
|
| 1744 |
+
"coverage": 0.029922423346878464,
|
| 1745 |
+
"combined_accuracy": 0.4130033247137052,
|
| 1746 |
+
"covered_accuracy": 0.9938271604938271,
|
| 1747 |
+
"regressions": 0
|
| 1748 |
+
},
|
| 1749 |
+
{
|
| 1750 |
+
"threshold": 0.99924,
|
| 1751 |
+
"coverage": 0.020132988548208348,
|
| 1752 |
+
"combined_accuracy": 0.4107868489102327,
|
| 1753 |
+
"covered_accuracy": 0.9908256880733946,
|
| 1754 |
+
"regressions": 0
|
| 1755 |
+
},
|
| 1756 |
+
{
|
| 1757 |
+
"threshold": 0.999454,
|
| 1758 |
+
"coverage": 0.009974141115626155,
|
| 1759 |
+
"combined_accuracy": 0.40801625415589216,
|
| 1760 |
+
"covered_accuracy": 1.0,
|
| 1761 |
+
"regressions": 0
|
| 1762 |
+
},
|
| 1763 |
+
{
|
| 1764 |
+
"threshold": 0.99978,
|
| 1765 |
+
"coverage": 0.0,
|
| 1766 |
+
"combined_accuracy": 0.4059844846693757,
|
| 1767 |
+
"covered_accuracy": null,
|
| 1768 |
+
"regressions": 0
|
| 1769 |
+
}
|
| 1770 |
+
],
|
| 1771 |
+
"baseline_accuracy": 0.4059844846693757,
|
| 1772 |
+
"no_abstention_accuracy": 0.8134466198743997,
|
| 1773 |
+
"best_combined": {
|
| 1774 |
+
"threshold": 0.287819,
|
| 1775 |
+
"coverage": 0.999815293683044,
|
| 1776 |
+
"combined_accuracy": 0.8134466198743997,
|
| 1777 |
+
"covered_accuracy": 0.8135968963606134,
|
| 1778 |
+
"regressions": 256
|
| 1779 |
+
},
|
| 1780 |
+
"conservative_zero_regression": {
|
| 1781 |
+
"threshold": 0.995294,
|
| 1782 |
+
"coverage": 0.14000738825267825,
|
| 1783 |
+
"combined_accuracy": 0.44200221647580346,
|
| 1784 |
+
"covered_accuracy": 0.9709762532981531,
|
| 1785 |
+
"regressions": 0
|
| 1786 |
+
},
|
| 1787 |
+
"ece": 0.0576062929816676
|
| 1788 |
+
},
|
| 1789 |
+
"nbest_coverage": {
|
| 1790 |
+
"all": {
|
| 1791 |
+
"1": 0.8134466198743997,
|
| 1792 |
+
"2": 0.9436645733284078,
|
| 1793 |
+
"3": 0.9804211304026598,
|
| 1794 |
+
"4": 0.9918729220539343,
|
| 1795 |
+
"5": 0.9970446989287034
|
| 1796 |
+
},
|
| 1797 |
+
"variation_only": {
|
| 1798 |
+
"1": 0.6122448979591837,
|
| 1799 |
+
"2": 0.9387755102040817,
|
| 1800 |
+
"3": 0.9795918367346939,
|
| 1801 |
+
"4": 1.0,
|
| 1802 |
+
"5": 1.0
|
| 1803 |
+
},
|
| 1804 |
+
"n_variation": 49
|
| 1805 |
+
},
|
| 1806 |
+
"operating_point_dev_chosen": {
|
| 1807 |
+
"chosen_on": "dev split, same condition",
|
| 1808 |
+
"max_accuracy": {
|
| 1809 |
+
"threshold": 0.242734,
|
| 1810 |
+
"coverage": 1.0,
|
| 1811 |
+
"combined_accuracy": 0.8134466198743997,
|
| 1812 |
+
"regressions": 256,
|
| 1813 |
+
"improvements": 2462,
|
| 1814 |
+
"n": 5414
|
| 1815 |
+
},
|
| 1816 |
+
"zero_regression_on_dev": {
|
| 1817 |
+
"threshold": 0.997893,
|
| 1818 |
+
"coverage": 0.07258958256372368,
|
| 1819 |
+
"combined_accuracy": 0.42223864056150723,
|
| 1820 |
+
"regressions": 0,
|
| 1821 |
+
"improvements": 88,
|
| 1822 |
+
"n": 5414
|
| 1823 |
+
},
|
| 1824 |
+
"dev_zero_regression_coverage": 0.08007448789571694
|
| 1825 |
+
}
|
| 1826 |
+
}
|
| 1827 |
+
},
|
| 1828 |
+
"notes": {
|
| 1829 |
+
"fairness": "Accuracy is computed on items where OpenJTalk's own reading matched the gold reading, so the comparison is about accent rather than G2P.",
|
| 1830 |
+
"downstep_condition_invariance": "Downstep's prediction does not depend on the condition: it reads components, never the compound's own dictionary entry.",
|
| 1831 |
+
"no_human_annotation": "All gold is dictionary-derived. No native-speaker annotation was collected for this release.",
|
| 1832 |
+
"comparable_set": "Strata are scored on the 5,414 test compounds whose reading OpenJTalk produced correctly in BOTH the listed and the unlisted condition, so the two columns describe the same words."
|
| 1833 |
+
}
|
| 1834 |
+
}
|
dev.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
mora_validation.json
ADDED
|
@@ -0,0 +1,1083 @@
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|
| 1 |
+
{
|
| 2 |
+
"tool": "scripts/validate_mora.py",
|
| 3 |
+
"generated_at": "2026-09-03T16:16:51+0900",
|
| 4 |
+
"elapsed_seconds": 19.26,
|
| 5 |
+
"environment": {
|
| 6 |
+
"python": "3.13.5",
|
| 7 |
+
"platform": "macOS-26.6.2-arm64-arm-64bit-Mach-O"
|
| 8 |
+
},
|
| 9 |
+
"tokenizer": {
|
| 10 |
+
"module": "downstep.mora",
|
| 11 |
+
"fold_small_counters": true,
|
| 12 |
+
"strict": false,
|
| 13 |
+
"rules": {
|
| 14 |
+
"small_kana_fuse_with_the_preceding_kana": [
|
| 15 |
+
"ァ",
|
| 16 |
+
"ィ",
|
| 17 |
+
"ゥ",
|
| 18 |
+
"ェ",
|
| 19 |
+
"ォ",
|
| 20 |
+
"ャ",
|
| 21 |
+
"ュ",
|
| 22 |
+
"ョ",
|
| 23 |
+
"ヮ"
|
| 24 |
+
],
|
| 25 |
+
"own_mora": [
|
| 26 |
+
"ッ",
|
| 27 |
+
"ン",
|
| 28 |
+
"ー"
|
| 29 |
+
],
|
| 30 |
+
"small_counters_folded_to_full": {
|
| 31 |
+
"ヵ": "カ",
|
| 32 |
+
"ヶ": "ケ"
|
| 33 |
+
}
|
| 34 |
+
}
|
| 35 |
+
},
|
| 36 |
+
"documented_examples": {
|
| 37 |
+
"note": "definitions taken from downstep/mora.py's own docstring plus mechanical applications of the four rules it states; not a measurement",
|
| 38 |
+
"n": 29,
|
| 39 |
+
"passed": 29,
|
| 40 |
+
"failed": 0,
|
| 41 |
+
"failures": []
|
| 42 |
+
},
|
| 43 |
+
"losslessness": {
|
| 44 |
+
"checked": 788331,
|
| 45 |
+
"lossless": 788331,
|
| 46 |
+
"n_failures": 0,
|
| 47 |
+
"failures_shown": []
|
| 48 |
+
},
|
| 49 |
+
"naist": {
|
| 50 |
+
"source": "NAIST Japanese Dictionary (naist-jdic), as shipped with Open JTalk",
|
| 51 |
+
"check": "direct: tokenizer mora count vs the dictionary's own accmora denominator",
|
| 52 |
+
"devoicing_marks_stripped": [
|
| 53 |
+
"’",
|
| 54 |
+
"'"
|
| 55 |
+
],
|
| 56 |
+
"entries_read": 788331,
|
| 57 |
+
"entries_without_recorded_count": 0,
|
| 58 |
+
"entries_with_recorded_count": 788331,
|
| 59 |
+
"agree": 788190,
|
| 60 |
+
"disagree": 141,
|
| 61 |
+
"agreement_rate": 0.9998211411196566,
|
| 62 |
+
"delta_histogram": {
|
| 63 |
+
"1": 138,
|
| 64 |
+
"2": 1,
|
| 65 |
+
"3": 2
|
| 66 |
+
},
|
| 67 |
+
"attribution": {
|
| 68 |
+
"rule": "a kana pair the tokenizer fuses into one mora is blamed only if it occurs in zero agreeing entries; the dictionary then evidently counts it as two. Completeness is verified by recounting every disagreeing entry under that assumption.",
|
| 69 |
+
"explained": 141,
|
| 70 |
+
"unexplained": 0,
|
| 71 |
+
"unexplained_rows": [],
|
| 72 |
+
"n_pairs": 33,
|
| 73 |
+
"pairs": [
|
| 74 |
+
{
|
| 75 |
+
"mora": "フュ",
|
| 76 |
+
"mechanism": "palatalisation_on_a_non_standard_base",
|
| 77 |
+
"disagreeing_rows_containing_it": 67,
|
| 78 |
+
"agreeing_rows_containing_it": 0,
|
| 79 |
+
"examples": [
|
| 80 |
+
{
|
| 81 |
+
"surface": "ふゅーじょん",
|
| 82 |
+
"reading": "フュージョン",
|
| 83 |
+
"dict_moras": 5,
|
| 84 |
+
"tokenizer_moras": 4
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"surface": "アフュス",
|
| 88 |
+
"reading": "アフュス",
|
| 89 |
+
"dict_moras": 4,
|
| 90 |
+
"tokenizer_moras": 3
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"surface": "アフュティス",
|
| 94 |
+
"reading": "アフュティス",
|
| 95 |
+
"dict_moras": 5,
|
| 96 |
+
"tokenizer_moras": 4
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"surface": "インフューザー",
|
| 100 |
+
"reading": "インフューザー",
|
| 101 |
+
"dict_moras": 7,
|
| 102 |
+
"tokenizer_moras": 6
|
| 103 |
+
}
|
| 104 |
+
]
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"mora": "イュ",
|
| 108 |
+
"mechanism": "palatalisation_on_a_non_standard_base",
|
| 109 |
+
"disagreeing_rows_containing_it": 12,
|
| 110 |
+
"agreeing_rows_containing_it": 0,
|
| 111 |
+
"examples": [
|
| 112 |
+
{
|
| 113 |
+
"surface": "かいい",
|
| 114 |
+
"reading": "カイュー",
|
| 115 |
+
"dict_moras": 4,
|
| 116 |
+
"tokenizer_moras": 3
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"surface": "かっわいい",
|
| 120 |
+
"reading": "カッワイュー",
|
| 121 |
+
"dict_moras": 6,
|
| 122 |
+
"tokenizer_moras": 5
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"surface": "かわいい",
|
| 126 |
+
"reading": "カワイュウ",
|
| 127 |
+
"dict_moras": 5,
|
| 128 |
+
"tokenizer_moras": 4
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"surface": "かわいい",
|
| 132 |
+
"reading": "カワイュウ",
|
| 133 |
+
"dict_moras": 5,
|
| 134 |
+
"tokenizer_moras": 4
|
| 135 |
+
}
|
| 136 |
+
]
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"mora": "クォ",
|
| 140 |
+
"mechanism": "small_vowel_after_a_full_kana",
|
| 141 |
+
"disagreeing_rows_containing_it": 5,
|
| 142 |
+
"agreeing_rows_containing_it": 0,
|
| 143 |
+
"examples": [
|
| 144 |
+
{
|
| 145 |
+
"surface": "クォータリー",
|
| 146 |
+
"reading": "クォータリー",
|
| 147 |
+
"dict_moras": 6,
|
| 148 |
+
"tokenizer_moras": 5
|
| 149 |
+
},
|
| 150 |
+
{
|
| 151 |
+
"surface": "クォーター",
|
| 152 |
+
"reading": "クォーター",
|
| 153 |
+
"dict_moras": 5,
|
| 154 |
+
"tokenizer_moras": 4
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"surface": "クォーテーション",
|
| 158 |
+
"reading": "クォーテーション",
|
| 159 |
+
"dict_moras": 7,
|
| 160 |
+
"tokenizer_moras": 6
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"surface": "クォート",
|
| 164 |
+
"reading": "クォート",
|
| 165 |
+
"dict_moras": 4,
|
| 166 |
+
"tokenizer_moras": 3
|
| 167 |
+
}
|
| 168 |
+
]
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"mora": "シィ",
|
| 172 |
+
"mechanism": "small_vowel_after_a_full_kana",
|
| 173 |
+
"disagreeing_rows_containing_it": 5,
|
| 174 |
+
"agreeing_rows_containing_it": 0,
|
| 175 |
+
"examples": [
|
| 176 |
+
{
|
| 177 |
+
"surface": "アイディシィソリューションズ",
|
| 178 |
+
"reading": "アイディシィソリューションズ",
|
| 179 |
+
"dict_moras": 11,
|
| 180 |
+
"tokenizer_moras": 10
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"surface": "エフ・ディ・シィ・プロダクツ",
|
| 184 |
+
"reading": "エフディシィプロダクツ",
|
| 185 |
+
"dict_moras": 10,
|
| 186 |
+
"tokenizer_moras": 9
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"surface": "ルートフィッシィング",
|
| 190 |
+
"reading": "ルートフィッシィング",
|
| 191 |
+
"dict_moras": 9,
|
| 192 |
+
"tokenizer_moras": 8
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"surface": "レガシィ",
|
| 196 |
+
"reading": "レガシィ",
|
| 197 |
+
"dict_moras": 4,
|
| 198 |
+
"tokenizer_moras": 3
|
| 199 |
+
}
|
| 200 |
+
]
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"mora": "ヂャ",
|
| 204 |
+
"mechanism": "youon_written_on_the_di_row_historical_orthography",
|
| 205 |
+
"disagreeing_rows_containing_it": 5,
|
| 206 |
+
"agreeing_rows_containing_it": 0,
|
| 207 |
+
"examples": [
|
| 208 |
+
{
|
| 209 |
+
"surface": "ぢゃぢゅぢょ",
|
| 210 |
+
"reading": "ヂャヂュヂョ",
|
| 211 |
+
"dict_moras": 6,
|
| 212 |
+
"tokenizer_moras": 3
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"surface": "ヂャヂュヂョ",
|
| 216 |
+
"reading": "ヂャヂュヂョ",
|
| 217 |
+
"dict_moras": 6,
|
| 218 |
+
"tokenizer_moras": 3
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"surface": "茶",
|
| 222 |
+
"reading": "ヂャ",
|
| 223 |
+
"dict_moras": 2,
|
| 224 |
+
"tokenizer_moras": 1
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"surface": "茶屋",
|
| 228 |
+
"reading": "ヂャヤ",
|
| 229 |
+
"dict_moras": 3,
|
| 230 |
+
"tokenizer_moras": 2
|
| 231 |
+
}
|
| 232 |
+
]
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"mora": "ヂョ",
|
| 236 |
+
"mechanism": "youon_written_on_the_di_row_historical_orthography",
|
| 237 |
+
"disagreeing_rows_containing_it": 5,
|
| 238 |
+
"agreeing_rows_containing_it": 0,
|
| 239 |
+
"examples": [
|
| 240 |
+
{
|
| 241 |
+
"surface": "ぢゃぢゅぢょ",
|
| 242 |
+
"reading": "ヂャヂュヂョ",
|
| 243 |
+
"dict_moras": 6,
|
| 244 |
+
"tokenizer_moras": 3
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"surface": "ヂャヂュヂョ",
|
| 248 |
+
"reading": "ヂャヂュヂョ",
|
| 249 |
+
"dict_moras": 6,
|
| 250 |
+
"tokenizer_moras": 3
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"surface": "提灯",
|
| 254 |
+
"reading": "ヂョウチン",
|
| 255 |
+
"dict_moras": 5,
|
| 256 |
+
"tokenizer_moras": 4
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"surface": "提灯",
|
| 260 |
+
"reading": "ヂョウチン",
|
| 261 |
+
"dict_moras": 5,
|
| 262 |
+
"tokenizer_moras": 4
|
| 263 |
+
}
|
| 264 |
+
]
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"mora": "クィ",
|
| 268 |
+
"mechanism": "small_vowel_after_a_full_kana",
|
| 269 |
+
"disagreeing_rows_containing_it": 4,
|
| 270 |
+
"agreeing_rows_containing_it": 0,
|
| 271 |
+
"examples": [
|
| 272 |
+
{
|
| 273 |
+
"surface": "クィック",
|
| 274 |
+
"reading": "クィック",
|
| 275 |
+
"dict_moras": 4,
|
| 276 |
+
"tokenizer_moras": 3
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"surface": "クィックソート",
|
| 280 |
+
"reading": "クィックソート",
|
| 281 |
+
"dict_moras": 7,
|
| 282 |
+
"tokenizer_moras": 6
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"surface": "クィンテット",
|
| 286 |
+
"reading": "クィンテット",
|
| 287 |
+
"dict_moras": 6,
|
| 288 |
+
"tokenizer_moras": 5
|
| 289 |
+
},
|
| 290 |
+
{
|
| 291 |
+
"surface": "ラブリークィーン",
|
| 292 |
+
"reading": "ラブリークィーン",
|
| 293 |
+
"dict_moras": 8,
|
| 294 |
+
"tokenizer_moras": 7
|
| 295 |
+
}
|
| 296 |
+
]
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"mora": "ナュ",
|
| 300 |
+
"mechanism": "palatalisation_on_a_non_standard_base",
|
| 301 |
+
"disagreeing_rows_containing_it": 4,
|
| 302 |
+
"agreeing_rows_containing_it": 0,
|
| 303 |
+
"examples": [
|
| 304 |
+
{
|
| 305 |
+
"surface": "とんでもない",
|
| 306 |
+
"reading": "トンデモナュウ",
|
| 307 |
+
"dict_moras": 7,
|
| 308 |
+
"tokenizer_moras": 6
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"surface": "とんでもない",
|
| 312 |
+
"reading": "トンデモナュウ",
|
| 313 |
+
"dict_moras": 7,
|
| 314 |
+
"tokenizer_moras": 6
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"surface": "無い",
|
| 318 |
+
"reading": "ナュー",
|
| 319 |
+
"dict_moras": 3,
|
| 320 |
+
"tokenizer_moras": 2
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"surface": "無い",
|
| 324 |
+
"reading": "ナュー",
|
| 325 |
+
"dict_moras": 3,
|
| 326 |
+
"tokenizer_moras": 2
|
| 327 |
+
}
|
| 328 |
+
]
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"mora": "クァ",
|
| 332 |
+
"mechanism": "small_vowel_after_a_full_kana",
|
| 333 |
+
"disagreeing_rows_containing_it": 3,
|
| 334 |
+
"agreeing_rows_containing_it": 0,
|
| 335 |
+
"examples": [
|
| 336 |
+
{
|
| 337 |
+
"surface": "クァルテット",
|
| 338 |
+
"reading": "クァルテット",
|
| 339 |
+
"dict_moras": 6,
|
| 340 |
+
"tokenizer_moras": 5
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"surface": "クァンジュ",
|
| 344 |
+
"reading": "クァンジュ",
|
| 345 |
+
"dict_moras": 4,
|
| 346 |
+
"tokenizer_moras": 3
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"surface": "高広鎮",
|
| 350 |
+
"reading": "コークァンジン",
|
| 351 |
+
"dict_moras": 7,
|
| 352 |
+
"tokenizer_moras": 6
|
| 353 |
+
}
|
| 354 |
+
]
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"mora": "クェ",
|
| 358 |
+
"mechanism": "small_vowel_after_a_full_kana",
|
| 359 |
+
"disagreeing_rows_containing_it": 3,
|
| 360 |
+
"agreeing_rows_containing_it": 0,
|
| 361 |
+
"examples": [
|
| 362 |
+
{
|
| 363 |
+
"surface": "クェスチョン",
|
| 364 |
+
"reading": "クェスチョン",
|
| 365 |
+
"dict_moras": 5,
|
| 366 |
+
"tokenizer_moras": 4
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"surface": "クェッション",
|
| 370 |
+
"reading": "クェッション",
|
| 371 |
+
"dict_moras": 5,
|
| 372 |
+
"tokenizer_moras": 4
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"surface": "AFLACスクェア",
|
| 376 |
+
"reading": "アフラックスクェア",
|
| 377 |
+
"dict_moras": 9,
|
| 378 |
+
"tokenizer_moras": 8
|
| 379 |
+
}
|
| 380 |
+
]
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"mora": "グァ",
|
| 384 |
+
"mechanism": "small_vowel_after_a_full_kana",
|
| 385 |
+
"disagreeing_rows_containing_it": 3,
|
| 386 |
+
"agreeing_rows_containing_it": 0,
|
| 387 |
+
"examples": [
|
| 388 |
+
{
|
| 389 |
+
"surface": "グァラニ",
|
| 390 |
+
"reading": "グァラニ",
|
| 391 |
+
"dict_moras": 4,
|
| 392 |
+
"tokenizer_moras": 3
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"surface": "グァラニ",
|
| 396 |
+
"reading": "グァラニ",
|
| 397 |
+
"dict_moras": 4,
|
| 398 |
+
"tokenizer_moras": 3
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"surface": "パラグアイグァラニ",
|
| 402 |
+
"reading": "パラグアイグァラニ",
|
| 403 |
+
"dict_moras": 9,
|
| 404 |
+
"tokenizer_moras": 8
|
| 405 |
+
}
|
| 406 |
+
]
|
| 407 |
+
},
|
| 408 |
+
{
|
| 409 |
+
"mora": "ジァ",
|
| 410 |
+
"mechanism": "small_vowel_after_a_full_kana",
|
| 411 |
+
"disagreeing_rows_containing_it": 3,
|
| 412 |
+
"agreeing_rows_containing_it": 0,
|
| 413 |
+
"examples": [
|
| 414 |
+
{
|
| 415 |
+
"surface": "ジァン",
|
| 416 |
+
"reading": "ジァン",
|
| 417 |
+
"dict_moras": 3,
|
| 418 |
+
"tokenizer_moras": 2
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"surface": "ジァン・ジァン",
|
| 422 |
+
"reading": "ジァンジァン",
|
| 423 |
+
"dict_moras": 6,
|
| 424 |
+
"tokenizer_moras": 4
|
| 425 |
+
}
|
| 426 |
+
]
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"mora": "ビィ",
|
| 430 |
+
"mechanism": "small_vowel_after_a_full_kana",
|
| 431 |
+
"disagreeing_rows_containing_it": 3,
|
| 432 |
+
"agreeing_rows_containing_it": 0,
|
| 433 |
+
"examples": [
|
| 434 |
+
{
|
| 435 |
+
"surface": "カービィ",
|
| 436 |
+
"reading": "カービィ",
|
| 437 |
+
"dict_moras": 4,
|
| 438 |
+
"tokenizer_moras": 3
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"surface": "ギャツビィゴルフクラブ",
|
| 442 |
+
"reading": "ギャツビィゴルフクラブ",
|
| 443 |
+
"dict_moras": 10,
|
| 444 |
+
"tokenizer_moras": 9
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"surface": "シューメーカー・レビィ",
|
| 448 |
+
"reading": "シューメーカーレビィ",
|
| 449 |
+
"dict_moras": 9,
|
| 450 |
+
"tokenizer_moras": 8
|
| 451 |
+
}
|
| 452 |
+
]
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"mora": "ケュ",
|
| 456 |
+
"mechanism": "palatalisation_on_a_non_standard_base",
|
| 457 |
+
"disagreeing_rows_containing_it": 2,
|
| 458 |
+
"agreeing_rows_containing_it": 0,
|
| 459 |
+
"examples": [
|
| 460 |
+
{
|
| 461 |
+
"surface": "寒けい",
|
| 462 |
+
"reading": "サムケュー",
|
| 463 |
+
"dict_moras": 5,
|
| 464 |
+
"tokenizer_moras": 4
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"surface": "鮮らけい",
|
| 468 |
+
"reading": "アザラケュー",
|
| 469 |
+
"dict_moras": 6,
|
| 470 |
+
"tokenizer_moras": 5
|
| 471 |
+
}
|
| 472 |
+
]
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"mora": "ジィ",
|
| 476 |
+
"mechanism": "small_vowel_after_a_full_kana",
|
| 477 |
+
"disagreeing_rows_containing_it": 2,
|
| 478 |
+
"agreeing_rows_containing_it": 0,
|
| 479 |
+
"examples": [
|
| 480 |
+
{
|
| 481 |
+
"surface": "パンジィ",
|
| 482 |
+
"reading": "パンジィ",
|
| 483 |
+
"dict_moras": 4,
|
| 484 |
+
"tokenizer_moras": 3
|
| 485 |
+
},
|
| 486 |
+
{
|
| 487 |
+
"surface": "ファジィ",
|
| 488 |
+
"reading": "ファジィ",
|
| 489 |
+
"dict_moras": 3,
|
| 490 |
+
"tokenizer_moras": 2
|
| 491 |
+
}
|
| 492 |
+
]
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"mora": "ヂュ",
|
| 496 |
+
"mechanism": "youon_written_on_the_di_row_historical_orthography",
|
| 497 |
+
"disagreeing_rows_containing_it": 2,
|
| 498 |
+
"agreeing_rows_containing_it": 0,
|
| 499 |
+
"examples": [
|
| 500 |
+
{
|
| 501 |
+
"surface": "ぢゃぢゅぢょ",
|
| 502 |
+
"reading": "ヂャヂュヂョ",
|
| 503 |
+
"dict_moras": 6,
|
| 504 |
+
"tokenizer_moras": 3
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"surface": "ヂャヂュヂョ",
|
| 508 |
+
"reading": "ヂャヂュヂョ",
|
| 509 |
+
"dict_moras": 6,
|
| 510 |
+
"tokenizer_moras": 3
|
| 511 |
+
}
|
| 512 |
+
]
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"mora": "デェ",
|
| 516 |
+
"mechanism": "small_vowel_after_a_full_kana",
|
| 517 |
+
"disagreeing_rows_containing_it": 2,
|
| 518 |
+
"agreeing_rows_containing_it": 0,
|
| 519 |
+
"examples": [
|
| 520 |
+
{
|
| 521 |
+
"surface": "でぇ",
|
| 522 |
+
"reading": "デェ",
|
| 523 |
+
"dict_moras": 2,
|
| 524 |
+
"tokenizer_moras": 1
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"surface": "デェ",
|
| 528 |
+
"reading": "デェ",
|
| 529 |
+
"dict_moras": 2,
|
| 530 |
+
"tokenizer_moras": 1
|
| 531 |
+
}
|
| 532 |
+
]
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"mora": "エィ",
|
| 536 |
+
"mechanism": "small_vowel_after_a_full_kana",
|
| 537 |
+
"disagreeing_rows_containing_it": 1,
|
| 538 |
+
"agreeing_rows_containing_it": 0,
|
| 539 |
+
"examples": [
|
| 540 |
+
{
|
| 541 |
+
"surface": "エィンデン",
|
| 542 |
+
"reading": "エィンデン",
|
| 543 |
+
"dict_moras": 5,
|
| 544 |
+
"tokenizer_moras": 4
|
| 545 |
+
}
|
| 546 |
+
]
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"mora": "ガュ",
|
| 550 |
+
"mechanism": "palatalisation_on_a_non_standard_base",
|
| 551 |
+
"disagreeing_rows_containing_it": 1,
|
| 552 |
+
"agreeing_rows_containing_it": 0,
|
| 553 |
+
"examples": [
|
| 554 |
+
{
|
| 555 |
+
"surface": "凶い",
|
| 556 |
+
"reading": "マガュー",
|
| 557 |
+
"dict_moras": 4,
|
| 558 |
+
"tokenizer_moras": 3
|
| 559 |
+
}
|
| 560 |
+
]
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"mora": "キィ",
|
| 564 |
+
"mechanism": "small_vowel_after_a_full_kana",
|
| 565 |
+
"disagreeing_rows_containing_it": 1,
|
| 566 |
+
"agreeing_rows_containing_it": 0,
|
| 567 |
+
"examples": [
|
| 568 |
+
{
|
| 569 |
+
"surface": "ラッキィ池田",
|
| 570 |
+
"reading": "ラッキィイケダ",
|
| 571 |
+
"dict_moras": 7,
|
| 572 |
+
"tokenizer_moras": 6
|
| 573 |
+
}
|
| 574 |
+
]
|
| 575 |
+
},
|
| 576 |
+
{
|
| 577 |
+
"mora": "グゥ",
|
| 578 |
+
"mechanism": "small_vowel_after_a_full_kana",
|
| 579 |
+
"disagreeing_rows_containing_it": 1,
|
| 580 |
+
"agreeing_rows_containing_it": 0,
|
| 581 |
+
"examples": [
|
| 582 |
+
{
|
| 583 |
+
"surface": "アウグゥストゥス",
|
| 584 |
+
"reading": "アウグゥストゥス",
|
| 585 |
+
"dict_moras": 7,
|
| 586 |
+
"tokenizer_moras": 6
|
| 587 |
+
}
|
| 588 |
+
]
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"mora": "ゲュ",
|
| 592 |
+
"mechanism": "palatalisation_on_a_non_standard_base",
|
| 593 |
+
"disagreeing_rows_containing_it": 1,
|
| 594 |
+
"agreeing_rows_containing_it": 0,
|
| 595 |
+
"examples": [
|
| 596 |
+
{
|
| 597 |
+
"surface": "繁い",
|
| 598 |
+
"reading": "シゲュー",
|
| 599 |
+
"dict_moras": 4,
|
| 600 |
+
"tokenizer_moras": 3
|
| 601 |
+
}
|
| 602 |
+
]
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"mora": "コァ",
|
| 606 |
+
"mechanism": "small_vowel_after_a_full_kana",
|
| 607 |
+
"disagreeing_rows_containing_it": 1,
|
| 608 |
+
"agreeing_rows_containing_it": 0,
|
| 609 |
+
"examples": [
|
| 610 |
+
{
|
| 611 |
+
"surface": "黄家駒",
|
| 612 |
+
"reading": "コァンジャジュ",
|
| 613 |
+
"dict_moras": 5,
|
| 614 |
+
"tokenizer_moras": 4
|
| 615 |
+
}
|
| 616 |
+
]
|
| 617 |
+
},
|
| 618 |
+
{
|
| 619 |
+
"mora": "ゴォ",
|
| 620 |
+
"mechanism": "small_vowel_after_a_full_kana",
|
| 621 |
+
"disagreeing_rows_containing_it": 1,
|
| 622 |
+
"agreeing_rows_containing_it": 0,
|
| 623 |
+
"examples": [
|
| 624 |
+
{
|
| 625 |
+
"surface": "ゴォォール",
|
| 626 |
+
"reading": "ゴォォール",
|
| 627 |
+
"dict_moras": 5,
|
| 628 |
+
"tokenizer_moras": 4
|
| 629 |
+
}
|
| 630 |
+
]
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"mora": "スェ",
|
| 634 |
+
"mechanism": "small_vowel_after_a_full_kana",
|
| 635 |
+
"disagreeing_rows_containing_it": 1,
|
| 636 |
+
"agreeing_rows_containing_it": 0,
|
| 637 |
+
"examples": [
|
| 638 |
+
{
|
| 639 |
+
"surface": "スェーター",
|
| 640 |
+
"reading": "スェーター",
|
| 641 |
+
"dict_moras": 5,
|
| 642 |
+
"tokenizer_moras": 4
|
| 643 |
+
}
|
| 644 |
+
]
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"mora": "セュ",
|
| 648 |
+
"mechanism": "palatalisation_on_a_non_standard_base",
|
| 649 |
+
"disagreeing_rows_containing_it": 1,
|
| 650 |
+
"agreeing_rows_containing_it": 0,
|
| 651 |
+
"examples": [
|
| 652 |
+
{
|
| 653 |
+
"surface": "狭い",
|
| 654 |
+
"reading": "セュー",
|
| 655 |
+
"dict_moras": 3,
|
| 656 |
+
"tokenizer_moras": 2
|
| 657 |
+
}
|
| 658 |
+
]
|
| 659 |
+
},
|
| 660 |
+
{
|
| 661 |
+
"mora": "チァ",
|
| 662 |
+
"mechanism": "small_vowel_after_a_full_kana",
|
| 663 |
+
"disagreeing_rows_containing_it": 1,
|
| 664 |
+
"agreeing_rows_containing_it": 0,
|
| 665 |
+
"examples": [
|
| 666 |
+
{
|
| 667 |
+
"surface": "江蘇",
|
| 668 |
+
"reading": "チァンスー",
|
| 669 |
+
"dict_moras": 5,
|
| 670 |
+
"tokenizer_moras": 4
|
| 671 |
+
}
|
| 672 |
+
]
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"mora": "テェ",
|
| 676 |
+
"mechanism": "small_vowel_after_a_full_kana",
|
| 677 |
+
"disagreeing_rows_containing_it": 1,
|
| 678 |
+
"agreeing_rows_containing_it": 0,
|
| 679 |
+
"examples": [
|
| 680 |
+
{
|
| 681 |
+
"surface": "いたい",
|
| 682 |
+
"reading": "イテェ",
|
| 683 |
+
"dict_moras": 3,
|
| 684 |
+
"tokenizer_moras": 2
|
| 685 |
+
}
|
| 686 |
+
]
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"mora": "ネュ",
|
| 690 |
+
"mechanism": "palatalisation_on_a_non_standard_base",
|
| 691 |
+
"disagreeing_rows_containing_it": 1,
|
| 692 |
+
"agreeing_rows_containing_it": 0,
|
| 693 |
+
"examples": [
|
| 694 |
+
{
|
| 695 |
+
"surface": "おっかねい",
|
| 696 |
+
"reading": "オッカネュー",
|
| 697 |
+
"dict_moras": 6,
|
| 698 |
+
"tokenizer_moras": 5
|
| 699 |
+
}
|
| 700 |
+
]
|
| 701 |
+
},
|
| 702 |
+
{
|
| 703 |
+
"mora": "フョ",
|
| 704 |
+
"mechanism": "palatalisation_on_a_non_standard_base",
|
| 705 |
+
"disagreeing_rows_containing_it": 1,
|
| 706 |
+
"agreeing_rows_containing_it": 0,
|
| 707 |
+
"examples": [
|
| 708 |
+
{
|
| 709 |
+
"surface": "フョードロフ",
|
| 710 |
+
"reading": "フョードロフ",
|
| 711 |
+
"dict_moras": 6,
|
| 712 |
+
"tokenizer_moras": 5
|
| 713 |
+
}
|
| 714 |
+
]
|
| 715 |
+
},
|
| 716 |
+
{
|
| 717 |
+
"mora": "ムュ",
|
| 718 |
+
"mechanism": "palatalisation_on_a_non_standard_base",
|
| 719 |
+
"disagreeing_rows_containing_it": 1,
|
| 720 |
+
"agreeing_rows_containing_it": 0,
|
| 721 |
+
"examples": [
|
| 722 |
+
{
|
| 723 |
+
"surface": "薄ら眠い",
|
| 724 |
+
"reading": "ウスラネムュー",
|
| 725 |
+
"dict_moras": 7,
|
| 726 |
+
"tokenizer_moras": 6
|
| 727 |
+
}
|
| 728 |
+
]
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"mora": "モュ",
|
| 732 |
+
"mechanism": "palatalisation_on_a_non_standard_base",
|
| 733 |
+
"disagreeing_rows_containing_it": 1,
|
| 734 |
+
"agreeing_rows_containing_it": 0,
|
| 735 |
+
"examples": [
|
| 736 |
+
{
|
| 737 |
+
"surface": "パンケモュウパロ川",
|
| 738 |
+
"reading": "パンケモュウパロガワ",
|
| 739 |
+
"dict_moras": 10,
|
| 740 |
+
"tokenizer_moras": 9
|
| 741 |
+
}
|
| 742 |
+
]
|
| 743 |
+
},
|
| 744 |
+
{
|
| 745 |
+
"mora": "ルュ",
|
| 746 |
+
"mechanism": "palatalisation_on_a_non_standard_base",
|
| 747 |
+
"disagreeing_rows_containing_it": 1,
|
| 748 |
+
"agreeing_rows_containing_it": 0,
|
| 749 |
+
"examples": [
|
| 750 |
+
{
|
| 751 |
+
"surface": "アルュメ",
|
| 752 |
+
"reading": "アルュメ",
|
| 753 |
+
"dict_moras": 4,
|
| 754 |
+
"tokenizer_moras": 3
|
| 755 |
+
}
|
| 756 |
+
]
|
| 757 |
+
}
|
| 758 |
+
],
|
| 759 |
+
"mechanism_groups": {
|
| 760 |
+
"palatalisation_on_a_non_standard_base": {
|
| 761 |
+
"pairs": [
|
| 762 |
+
"イュ",
|
| 763 |
+
"ガュ",
|
| 764 |
+
"ケュ",
|
| 765 |
+
"ゲュ",
|
| 766 |
+
"セュ",
|
| 767 |
+
"ナュ",
|
| 768 |
+
"ネュ",
|
| 769 |
+
"フュ",
|
| 770 |
+
"フョ",
|
| 771 |
+
"ムュ",
|
| 772 |
+
"モュ",
|
| 773 |
+
"ルュ"
|
| 774 |
+
],
|
| 775 |
+
"mismatch_rows_touched": 93
|
| 776 |
+
},
|
| 777 |
+
"small_vowel_after_a_full_kana": {
|
| 778 |
+
"pairs": [
|
| 779 |
+
"エィ",
|
| 780 |
+
"キィ",
|
| 781 |
+
"クァ",
|
| 782 |
+
"クィ",
|
| 783 |
+
"クェ",
|
| 784 |
+
"クォ",
|
| 785 |
+
"グァ",
|
| 786 |
+
"グゥ",
|
| 787 |
+
"コァ",
|
| 788 |
+
"ゴォ",
|
| 789 |
+
"シィ",
|
| 790 |
+
"ジァ",
|
| 791 |
+
"ジィ",
|
| 792 |
+
"スェ",
|
| 793 |
+
"チァ",
|
| 794 |
+
"テェ",
|
| 795 |
+
"デェ",
|
| 796 |
+
"ビィ"
|
| 797 |
+
],
|
| 798 |
+
"mismatch_rows_touched": 41
|
| 799 |
+
},
|
| 800 |
+
"youon_written_on_the_di_row_historical_orthography": {
|
| 801 |
+
"pairs": [
|
| 802 |
+
"ヂャ",
|
| 803 |
+
"ヂュ",
|
| 804 |
+
"ヂョ"
|
| 805 |
+
],
|
| 806 |
+
"mismatch_rows_touched": 12
|
| 807 |
+
}
|
| 808 |
+
},
|
| 809 |
+
"surface_script_of_disagreeing_entries": {
|
| 810 |
+
"kana_only": 110,
|
| 811 |
+
"contains_kanji": 27,
|
| 812 |
+
"contains_latin": 4
|
| 813 |
+
}
|
| 814 |
+
},
|
| 815 |
+
"nucleus_within_tokenizer_mora_count": {
|
| 816 |
+
"note": "sanity check only; NAIST accmora is self-consistent by construction",
|
| 817 |
+
"n": 788331,
|
| 818 |
+
"in_range": 788331,
|
| 819 |
+
"rate": 1.0
|
| 820 |
+
}
|
| 821 |
+
},
|
| 822 |
+
"unidic": {
|
| 823 |
+
"mode": "sys.dic",
|
| 824 |
+
"source": "UniDic 2.1.2 (unidic-mecab)",
|
| 825 |
+
"check": "indirect BOUND, not an equality: UniDic records no mora count, so the test is 0 <= aType <= mora_count(reading). It detects under-counting and is blind to over-counting.",
|
| 826 |
+
"devoicing_marks_stripped": [
|
| 827 |
+
"’",
|
| 828 |
+
"'"
|
| 829 |
+
],
|
| 830 |
+
"entries_with_accent": 751705,
|
| 831 |
+
"accent_annotations": 901116,
|
| 832 |
+
"within_bound_using_surface_reading": 900945,
|
| 833 |
+
"within_bound_rate_surface_reading": 0.9998102353082178,
|
| 834 |
+
"out_of_bound_using_surface_reading": 171,
|
| 835 |
+
"explained_by_lemma_length": {
|
| 836 |
+
"note": "UniDic states aType for the lemma; an inflected surface form is shorter than its own lemma. Re-checking against pronBase absorbs these.",
|
| 837 |
+
"count": 95,
|
| 838 |
+
"by_pos": {
|
| 839 |
+
"動詞-一般": 93,
|
| 840 |
+
"形容詞-一般": 2
|
| 841 |
+
}
|
| 842 |
+
},
|
| 843 |
+
"residual_not_attributable_to_the_tokenizer": {
|
| 844 |
+
"note": "the recorded aType exceeds the mora count of BOTH reading fields in the same row, so no segmentation of that row's own text can satisfy it; these are annotation slips in the source dictionary",
|
| 845 |
+
"count": 76,
|
| 846 |
+
"rate_of_all_annotations": 8.43398630143067e-05,
|
| 847 |
+
"by_pos": {
|
| 848 |
+
"動詞-一般": 39,
|
| 849 |
+
"名詞-普通名詞": 19,
|
| 850 |
+
"名詞-固有名詞": 11,
|
| 851 |
+
"名詞-数詞": 4,
|
| 852 |
+
"副詞-*": 3
|
| 853 |
+
},
|
| 854 |
+
"examples": [
|
| 855 |
+
{
|
| 856 |
+
"orth": "すま",
|
| 857 |
+
"pron": "スマ",
|
| 858 |
+
"pron_base": "スマ",
|
| 859 |
+
"recorded_aType": 4,
|
| 860 |
+
"tokenizer_moras_pron": 2,
|
| 861 |
+
"tokenizer_moras_lemma": 2,
|
| 862 |
+
"pos": "名詞-普通名詞"
|
| 863 |
+
},
|
| 864 |
+
{
|
| 865 |
+
"orth": "ひ",
|
| 866 |
+
"pron": "ヒ",
|
| 867 |
+
"pron_base": "ヒ",
|
| 868 |
+
"recorded_aType": 2,
|
| 869 |
+
"tokenizer_moras_pron": 1,
|
| 870 |
+
"tokenizer_moras_lemma": 1,
|
| 871 |
+
"pos": "名詞-数詞"
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"orth": "ふ",
|
| 875 |
+
"pron": "フ",
|
| 876 |
+
"pron_base": "フ",
|
| 877 |
+
"recorded_aType": 2,
|
| 878 |
+
"tokenizer_moras_pron": 1,
|
| 879 |
+
"tokenizer_moras_lemma": 1,
|
| 880 |
+
"pos": "名詞-数詞"
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"orth": "ぽおん",
|
| 884 |
+
"pron": "ポーン",
|
| 885 |
+
"pron_base": "ポーン",
|
| 886 |
+
"recorded_aType": 4,
|
| 887 |
+
"tokenizer_moras_pron": 3,
|
| 888 |
+
"tokenizer_moras_lemma": 3,
|
| 889 |
+
"pos": "副詞-*"
|
| 890 |
+
},
|
| 891 |
+
{
|
| 892 |
+
"orth": "ぽーん",
|
| 893 |
+
"pron": "ポーン",
|
| 894 |
+
"pron_base": "ポーン",
|
| 895 |
+
"recorded_aType": 4,
|
| 896 |
+
"tokenizer_moras_pron": 3,
|
| 897 |
+
"tokenizer_moras_lemma": 3,
|
| 898 |
+
"pos": "副詞-*"
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"orth": "アテュス",
|
| 902 |
+
"pron": "アチュス",
|
| 903 |
+
"pron_base": "アチュス",
|
| 904 |
+
"recorded_aType": 10,
|
| 905 |
+
"tokenizer_moras_pron": 3,
|
| 906 |
+
"tokenizer_moras_lemma": 3,
|
| 907 |
+
"pos": "名詞-固有名詞"
|
| 908 |
+
},
|
| 909 |
+
{
|
| 910 |
+
"orth": "ウヂノワキ",
|
| 911 |
+
"pron": "ウジノワキ",
|
| 912 |
+
"pron_base": "ウジノワキ",
|
| 913 |
+
"recorded_aType": 7,
|
| 914 |
+
"tokenizer_moras_pron": 5,
|
| 915 |
+
"tokenizer_moras_lemma": 5,
|
| 916 |
+
"pos": "名詞-固有名詞"
|
| 917 |
+
},
|
| 918 |
+
{
|
| 919 |
+
"orth": "エレクトロ",
|
| 920 |
+
"pron": "エレクトロ",
|
| 921 |
+
"pron_base": "エレクトロ",
|
| 922 |
+
"recorded_aType": 8,
|
| 923 |
+
"tokenizer_moras_pron": 5,
|
| 924 |
+
"tokenizer_moras_lemma": 5,
|
| 925 |
+
"pos": "名詞-普通名詞"
|
| 926 |
+
},
|
| 927 |
+
{
|
| 928 |
+
"orth": "サラン",
|
| 929 |
+
"pron": "サラン",
|
| 930 |
+
"pron_base": "サラン",
|
| 931 |
+
"recorded_aType": 4,
|
| 932 |
+
"tokenizer_moras_pron": 3,
|
| 933 |
+
"tokenizer_moras_lemma": 3,
|
| 934 |
+
"pos": "名詞-固有名詞"
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"orth": "スマ",
|
| 938 |
+
"pron": "スマ",
|
| 939 |
+
"pron_base": "スマ",
|
| 940 |
+
"recorded_aType": 4,
|
| 941 |
+
"tokenizer_moras_pron": 2,
|
| 942 |
+
"tokenizer_moras_lemma": 2,
|
| 943 |
+
"pos": "名詞-普通名詞"
|
| 944 |
+
},
|
| 945 |
+
{
|
| 946 |
+
"orth": "スルホ",
|
| 947 |
+
"pron": "スルホ",
|
| 948 |
+
"pron_base": "スルホ",
|
| 949 |
+
"recorded_aType": 4,
|
| 950 |
+
"tokenizer_moras_pron": 3,
|
| 951 |
+
"tokenizer_moras_lemma": 3,
|
| 952 |
+
"pos": "名詞-普通名詞"
|
| 953 |
+
},
|
| 954 |
+
{
|
| 955 |
+
"orth": "トム",
|
| 956 |
+
"pron": "トム",
|
| 957 |
+
"pron_base": "トム",
|
| 958 |
+
"recorded_aType": 6,
|
| 959 |
+
"tokenizer_moras_pron": 2,
|
| 960 |
+
"tokenizer_moras_lemma": 2,
|
| 961 |
+
"pos": "名詞-普通名詞"
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"orth": "ドゥバイ",
|
| 965 |
+
"pron": "ドゥバイ",
|
| 966 |
+
"pron_base": "ドゥバイ",
|
| 967 |
+
"recorded_aType": 10,
|
| 968 |
+
"tokenizer_moras_pron": 3,
|
| 969 |
+
"tokenizer_moras_lemma": 3,
|
| 970 |
+
"pos": "名詞-固有名詞"
|
| 971 |
+
},
|
| 972 |
+
{
|
| 973 |
+
"orth": "バンデグラフ",
|
| 974 |
+
"pron": "バンデグラフ",
|
| 975 |
+
"pron_base": "バンデグラフ",
|
| 976 |
+
"recorded_aType": 7,
|
| 977 |
+
"tokenizer_moras_pron": 6,
|
| 978 |
+
"tokenizer_moras_lemma": 6,
|
| 979 |
+
"pos": "名詞-普通名詞"
|
| 980 |
+
},
|
| 981 |
+
{
|
| 982 |
+
"orth": "フェデラル",
|
| 983 |
+
"pron": "フェデラル",
|
| 984 |
+
"pron_base": "フェデラル",
|
| 985 |
+
"recorded_aType": 5,
|
| 986 |
+
"tokenizer_moras_pron": 4,
|
| 987 |
+
"tokenizer_moras_lemma": 4,
|
| 988 |
+
"pos": "名詞-普通名詞"
|
| 989 |
+
},
|
| 990 |
+
{
|
| 991 |
+
"orth": "プレスト",
|
| 992 |
+
"pron": "プレスト",
|
| 993 |
+
"pron_base": "プレスト",
|
| 994 |
+
"recorded_aType": 5,
|
| 995 |
+
"tokenizer_moras_pron": 4,
|
| 996 |
+
"tokenizer_moras_lemma": 4,
|
| 997 |
+
"pos": "名詞-普通名詞"
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"orth": "ペブル",
|
| 1001 |
+
"pron": "ペブル",
|
| 1002 |
+
"pron_base": "ペブル",
|
| 1003 |
+
"recorded_aType": 4,
|
| 1004 |
+
"tokenizer_moras_pron": 3,
|
| 1005 |
+
"tokenizer_moras_lemma": 3,
|
| 1006 |
+
"pos": "名詞-固有名詞"
|
| 1007 |
+
},
|
| 1008 |
+
{
|
| 1009 |
+
"orth": "ペント",
|
| 1010 |
+
"pron": "ペント",
|
| 1011 |
+
"pron_base": "ペント",
|
| 1012 |
+
"recorded_aType": 4,
|
| 1013 |
+
"tokenizer_moras_pron": 3,
|
| 1014 |
+
"tokenizer_moras_lemma": 3,
|
| 1015 |
+
"pos": "名詞-普通名詞"
|
| 1016 |
+
},
|
| 1017 |
+
{
|
| 1018 |
+
"orth": "ポーン",
|
| 1019 |
+
"pron": "ポーン",
|
| 1020 |
+
"pron_base": "ポーン",
|
| 1021 |
+
"recorded_aType": 4,
|
| 1022 |
+
"tokenizer_moras_pron": 3,
|
| 1023 |
+
"tokenizer_moras_lemma": 3,
|
| 1024 |
+
"pos": "副詞-*"
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"orth": "マーシュ",
|
| 1028 |
+
"pron": "マーシュ",
|
| 1029 |
+
"pron_base": "マーシュ",
|
| 1030 |
+
"recorded_aType": 11,
|
| 1031 |
+
"tokenizer_moras_pron": 3,
|
| 1032 |
+
"tokenizer_moras_lemma": 3,
|
| 1033 |
+
"pos": "名詞-固有名詞"
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"orth": "ミクー",
|
| 1037 |
+
"pron": "ミクー",
|
| 1038 |
+
"pron_base": "ミクー",
|
| 1039 |
+
"recorded_aType": 10,
|
| 1040 |
+
"tokenizer_moras_pron": 3,
|
| 1041 |
+
"tokenizer_moras_lemma": 3,
|
| 1042 |
+
"pos": "名詞-固有名詞"
|
| 1043 |
+
},
|
| 1044 |
+
{
|
| 1045 |
+
"orth": "ラオアグ",
|
| 1046 |
+
"pron": "ラオアグ",
|
| 1047 |
+
"pron_base": "ラオアグ",
|
| 1048 |
+
"recorded_aType": 7,
|
| 1049 |
+
"tokenizer_moras_pron": 4,
|
| 1050 |
+
"tokenizer_moras_lemma": 4,
|
| 1051 |
+
"pos": "名詞-固有名詞"
|
| 1052 |
+
},
|
| 1053 |
+
{
|
| 1054 |
+
"orth": "リンチ",
|
| 1055 |
+
"pron": "リンチ",
|
| 1056 |
+
"pron_base": "リンチ",
|
| 1057 |
+
"recorded_aType": 4,
|
| 1058 |
+
"tokenizer_moras_pron": 3,
|
| 1059 |
+
"tokenizer_moras_lemma": 3,
|
| 1060 |
+
"pos": "名詞-固有名詞"
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"orth": "レッセ",
|
| 1064 |
+
"pron": "レッセ",
|
| 1065 |
+
"pron_base": "レッセ",
|
| 1066 |
+
"recorded_aType": 4,
|
| 1067 |
+
"tokenizer_moras_pron": 3,
|
| 1068 |
+
"tokenizer_moras_lemma": 3,
|
| 1069 |
+
"pos": "名詞-普通名詞"
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"orth": "ワクスマン",
|
| 1073 |
+
"pron": "ワクスマン",
|
| 1074 |
+
"pron_base": "ワクスマン",
|
| 1075 |
+
"recorded_aType": 11,
|
| 1076 |
+
"tokenizer_moras_pron": 5,
|
| 1077 |
+
"tokenizer_moras_lemma": 5,
|
| 1078 |
+
"pos": "名詞-固有名詞"
|
| 1079 |
+
}
|
| 1080 |
+
]
|
| 1081 |
+
}
|
| 1082 |
+
}
|
| 1083 |
+
}
|
stats.json
ADDED
|
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"built_at_seconds": 24.3,
|
| 3 |
+
"n_total": 89539,
|
| 4 |
+
"by_split": {
|
| 5 |
+
"train": 71544,
|
| 6 |
+
"test": 9036,
|
| 7 |
+
"dev": 8959
|
| 8 |
+
},
|
| 9 |
+
"n_hard_in_test": 818,
|
| 10 |
+
"n_hard_all_in_test": 105,
|
| 11 |
+
"hard_fraction_of_test": 0.0905,
|
| 12 |
+
"n_with_accent_variation": 1030,
|
| 13 |
+
"by_script": {
|
| 14 |
+
"mixed": 27290,
|
| 15 |
+
"katakana": 7012,
|
| 16 |
+
"kanji": 55237
|
| 17 |
+
},
|
| 18 |
+
"by_goshu": {
|
| 19 |
+
"外": 4443,
|
| 20 |
+
"漢": 23313,
|
| 21 |
+
"和": 34760,
|
| 22 |
+
"固": 25085,
|
| 23 |
+
"None": 764,
|
| 24 |
+
"混": 604,
|
| 25 |
+
"記号": 570
|
| 26 |
+
},
|
| 27 |
+
"by_n_components": {
|
| 28 |
+
"2": 70419,
|
| 29 |
+
"3": 16286,
|
| 30 |
+
"4": 2539,
|
| 31 |
+
"5": 275,
|
| 32 |
+
"6": 19,
|
| 33 |
+
"7": 1
|
| 34 |
+
},
|
| 35 |
+
"by_n_moras": {
|
| 36 |
+
"6": 18884,
|
| 37 |
+
"4": 21228,
|
| 38 |
+
"5": 19522,
|
| 39 |
+
"7": 11112,
|
| 40 |
+
"11": 2003,
|
| 41 |
+
"9": 3836,
|
| 42 |
+
"8": 7419,
|
| 43 |
+
"10": 2958,
|
| 44 |
+
"12": 1298,
|
| 45 |
+
"13": 593,
|
| 46 |
+
"14": 390,
|
| 47 |
+
"15": 198,
|
| 48 |
+
"16": 90,
|
| 49 |
+
"17": 7,
|
| 50 |
+
"18": 1
|
| 51 |
+
},
|
| 52 |
+
"n_proper": 59430,
|
| 53 |
+
"n_common": 30109,
|
| 54 |
+
"n_all_components_in_lexicon": 89539,
|
| 55 |
+
"sources": {
|
| 56 |
+
"naist-jdic": "BSD 3-clause, Nara Institute of Science and Technology, via pyopenjtalk",
|
| 57 |
+
"unidic-2.1.2": "GPL/LGPL/BSD-3 tri-licence (BSD option used), The UniDic Consortium (NINJAL)"
|
| 58 |
+
},
|
| 59 |
+
"note": "gold_accents is a SET: >1 entry means the dictionaries attest more than one accent. No human annotation is present in this release."
|
| 60 |
+
}
|
test.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
train.jsonl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ff2791d0940864bca0d07b7682e767297453a376b418e45300e56601fe3b640d
|
| 3 |
+
size 52538706
|