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META.json

@@ -1,6 +1,6 @@
 {
   "id": "bashkir_frequency_index",
-  "version": "v11.2",
+  "version": "v11.4",
   "type": "frequency_index",
   "language": "ba",
   "status": "current",
@@ -16,13 +16,13 @@
     "pattern": "[А-ЯЁӘҒҘҠҢӨҪҮҺа-яёәғҙҡңөҫүһ]+"
   },
   "stats": {
-    "sentences_scanned": 10611571,
-    "tokens_scanned": 155155014,
-    "tokens_in_full_index": 153379875,
-    "unique_wordforms_full": 874448,
-    "unique_wordforms_public": 632697,
+    "sentences_scanned": 10831139,
+    "tokens_scanned": 157856226,
+    "tokens_in_full_index": 155773495,
+    "unique_wordforms_full": 891588,
+    "unique_wordforms_public": 638920,
     "public_cutoff": "count >= 3",
-    "top_coverage_50_forms": 1137
+    "top_coverage_50_forms": 1164
   },
   "quality": {
     "tier": "diamond_clean",

README.md

@@ -2,7 +2,7 @@
 license: cc-by-4.0
 language:
 - ba
-pretty_name: Bashkir Frequency Index (155M tokens)
+pretty_name: Bashkir Frequency Index (157M tokens)
 task_categories:
 - text-classification
 configs:
@@ -23,20 +23,20 @@ tags:
 - corpus-statistics
 ---
 
-# Bashkir Frequency Index v11.2
+# Bashkir Frequency Index v11.4
 
-Word-frequency index for the Bashkir language, computed over **155.16 million scanned tokens** of monolingual text across diverse public domains. Non-Bashkir language admixture, borrowed vocabulary and scanning artifacts were filtered using automated language-filtering pipelines.
+Word-frequency index for the Bashkir language, computed over **157.86 million scanned tokens** of monolingual text across diverse public domains. Non-Bashkir language admixture, borrowed vocabulary and scanning artifacts were filtered using automated language-filtering pipelines.
 
 ## Files and Configurations
 
 | Config | Rows | Cutoff | Use case |
 |---|---:|---:|---|
-| **`public`** (recommended) | **632,697** | count ≥ 3 | NLP applications, spellchecking, text processing, linguistic research |
-| **`full`** | **874,448** | all retained forms | Comprehensive morphology studies, lexical research |
+| **`public`** (recommended) | **638,920** | count ≥ 3 | NLP applications, spellchecking, text processing, linguistic research |
+| **`full`** | **891,588** | all retained forms | Comprehensive morphology studies, lexical research |
 
 Additionally provided in the repository:
 
-- [`top_coverage_50.json`](top_coverage_50.json): the minimal set of **1,137 word forms covering 50% of all tokens** in the corpus.
+- [`top_coverage_50.json`](top_coverage_50.json): the minimal set of **1,164 word forms covering 50% of all tokens** in the corpus.
 - [`top_500.json`](top_500.json): top-500 core frequency vocabulary list.
 
 ## Schema
@@ -55,31 +55,31 @@ Additionally provided in the repository:
 
 | Rank | Word | Function / Translation | Count | FPM | Doc Frequency |
 |---:|---|---|---:|---:|---:|
-| 1 | **һәм** | conjunction "and" | 1,419,398 | 13,547.5 | 1,049,498 |
-| 2 | **менән** | postposition "with" | 974,143 | 9,297.8 | 740,261 |
-| 3 | **бер** | numeral "one / a certain" | 1,012,859 | 7,351.3 | 832,451 |
-| 4 | **ла** | particle "also / and" | 821,024 | 5,958.9 | 668,232 |
-| 5 | **был** | pronoun "this" | 788,218 | 5,720.8 | 693,574 |
-| 6 | **ул** | pronoun "he / she / it / that" | 752,627 | 5,462.5 | 662,875 |
-| 7 | **өсөн** | postposition "for / sake of" | 745,924 | 5,413.9 | 636,682 |
-| 8 | **тип** | quotative gerund "saying / as" | 709,534 | 5,149.7 | 616,259 |
-| 9 | **лә** | particle "also / and" | 521,084 | 3,782.0 | 435,357 |
-| 10 | **буйынса** | postposition/link "according to" | 462,733 | 3,358.5 | 409,618 |
+| 1 | **һәм** | conjunction "and" | 2,448,068 | 15,508.2 | 1,908,212 |
+| 2 | **менән** | postposition "with" | 1,815,637 | 11,501.8 | 1,522,824 |
+| 3 | **бер** | numeral "one / a certain" | 1,115,117 | 7,064.1 | 929,294 |
+| 4 | **ла** | particle "also / and" | 944,233 | 5,981.6 | 786,073 |
+| 5 | **был** | pronoun "this" | 910,954 | 5,770.8 | 814,931 |
+| 6 | **өсөн** | postposition "for / sake of" | 878,311 | 5,564.0 | 757,666 |
+| 7 | **ул** | pronoun "he / she / it / that" | 848,560 | 5,375.5 | 758,469 |
+| 8 | **тип** | quotative gerund "saying / as" | 819,167 | 5,189.3 | 721,597 |
+| 9 | **лә** | particle "also / and" | 582,664 | 3,691.1 | 495,560 |
+| 10 | **буйынса** | postposition/link "according to" | 541,625 | 3,431.1 | 482,156 |
 
 ### Coverage
 
 | Tokens covered | Forms needed |
 |---:|---:|
-| 25% | 211 |
-| 50% | 1,137 |
-| 80% | 18,242 |
-| 90% | 55,079 |
-| 95% | 128,914 |
+| 25% | 145 |
+| 50% | 1,164 |
+| 80% | 11,554 |
+| 90% | 34,171 |
+| 95% | 82,261 |
 
 ## Method
 
 - **Tokenization:** Regex lowercase tokenization over Cyrillic script including all 9 Bashkir-specific letters (`Ә Ғ Ҙ Ҡ Ң Ө Ҫ Ү Һ`).
-- **Corpus Base:** 10.61M sentences (155.16M scanned tokens; 153.38M retained in the full index).
+- **Corpus Base:** 10.83M sentences (157.86M scanned tokens; 155.77M retained in the full index).
 - **Filtering:** Automated function-word language filtering to remove foreign language leaks.
 - **Form Constraints:** Isolated single-character forms removed (except `ә`); concatenated strings (>24 chars) removed.
 
@@ -121,7 +121,7 @@ licenses and attribution requirements still apply to the underlying materials.
 
 ```bibtex
 @dataset{failed09_bashkir_frequency_index_2026,
-  title = {Bashkir Frequency Index v11.2},
+  title = {Bashkir Frequency Index v11.4},
   author = {failed09},
   year = {2026},
   publisher = {Hugging Face},

SHA256SUMS

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