Release Mark v0.1.0: 38.7M parameter multilingual diacritics (INT8/FP16/FP32/CoreML)

Package.swift

@@ -0,0 +1,26 @@
+// swift-tools-version: 5.9
+import PackageDescription
+
+let package = Package(
+    name: "mark",
+    platforms: [
+        .iOS(.v16),
+        .macOS(.v13),
+        .tvOS(.v16),
+        .visionOS(.v1),
+    ],
+    products: [
+        .library(
+            name: "Mark",
+            targets: ["Mark"]
+        ),
+    ],
+    targets: [
+        .target(
+            name: "Mark",
+            resources: [
+                .process("Resources")
+            ]
+        ),
+    ]
+)

README.md

@@ -151,14 +151,14 @@ Add to your `Package.swift`:
 
 ```swift
 dependencies: [
-    .package(url: "https://github.com/mythologic/mark-core.git", from: "0.1.0")
+    .package(url: "https://huggingface.co/Mythologic/mark", branch: "main")
 ]
 ```
 
 Declare dependency in your target:
 
 ```swift
-.product(name: "Mark", package: "mark-core")
+.product(name: "Mark", package: "mark")
 ```
 
 Direct inference on Apple Neural Engine (Swift 6.3):

Sources/Mark/Mark.swift

@@ -0,0 +1,235 @@
+//
+//  Mark.swift
+//  Mark
+//
+//  Author: Ainouche Abderahmane & Mythologic
+//  On-device multilingual diacritic and tone restoration across 37 languages.
+//  Core ML inference on Apple Neural Engine (Swift 6.3).
+//
+
+import CoreML
+import Foundation
+
+public actor Mark {
+    public static let supportedLanguages: [String] = [
+        "ak", "ar", "az", "ca", "cs", "cy", "ee", "es", "ff", "fr",
+        "ga", "gn", "ha", "he", "hr", "ht", "hu", "ig", "ku", "ln",
+        "lt", "lv", "mi", "pl", "pt", "qu", "ro", "sk", "sl", "sm",
+        "sr", "tk", "tr", "uz", "vi", "wo", "yo",
+    ]
+
+    private let model: MLModel
+    private let tags: [String]
+    private let languageMap: [String: Int]
+    private let splitRegex: Regex<AnyRegexOutput>
+
+    public enum MarkError: LocalizedError {
+        case modelNotFound
+        case unsupportedLanguage(String)
+        case predictionFailed(String)
+        case resourceMissing(String)
+
+        public var errorDescription: String? {
+            switch self {
+            case .modelNotFound:
+                return "Mark Core ML model file not found in bundle or provided path."
+            case .unsupportedLanguage(let lang):
+                return "Unsupported language code '\(lang)'. Supported: \(Mark.supportedLanguages.joined(separator: ", "))"
+            case .predictionFailed(let reason):
+                return "Prediction failed: \(reason)"
+            case .resourceMissing(let name):
+                return "Required resource '\(name)' missing from bundle."
+            }
+        }
+    }
+
+    private static var defaultBundle: Bundle {
+        #if SWIFT_PACKAGE
+        return Bundle.module
+        #else
+        return Bundle.main
+        #endif
+    }
+
+    /// Initialize Mark with a compiled MLModel or load from a custom URL.
+    public init(modelURL: URL? = nil, configuration: MLModelConfiguration = MLModelConfiguration()) throws {
+        let resolvedURL: URL
+        if let customURL = modelURL {
+            resolvedURL = customURL
+        } else if let bundled = Self.defaultBundle.url(forResource: "mark", withExtension: "mlmodelc") {
+            resolvedURL = bundled
+        } else if let bundled = Bundle.main.url(forResource: "mark", withExtension: "mlmodelc") {
+            resolvedURL = bundled
+        } else {
+            throw MarkError.modelNotFound
+        }
+
+        self.model = try MLModel(contentsOf: resolvedURL, configuration: configuration)
+
+        guard let tagsURL = Self.defaultBundle.url(forResource: "tags", withExtension: "json") ??
+                            Bundle.main.url(forResource: "tags", withExtension: "json") else {
+            throw MarkError.resourceMissing("tags.json")
+        }
+        let data = try Data(contentsOf: tagsURL)
+        self.tags = try JSONDecoder().decode([String].self, from: data)
+
+        var map: [String: Int] = [:]
+        for (index, code) in Mark.supportedLanguages.enumerated() {
+            map[code] = index
+        }
+        self.languageMap = map
+
+        // Precompile regex for whitespace/word tokenization
+        self.splitRegex = try Regex(#"\S+|\s+"#)
+    }
+
+    /// Restore diacritics and tones on arbitrary input text.
+    public func restore(_ text: String, lang: String) throws -> String {
+        guard !text.isEmpty else { return "" }
+
+        let normalizedLang = lang.trimmingCharacters(in: .whitespacesAndNewlines).lowercased()
+        guard let langId = languageMap[normalizedLang] else {
+            throw MarkError.unsupportedLanguage(lang)
+        }
+
+        let chunks = splitIntoChunks(text, maxBytes: 480)
+        var restoredChunks: [String] = []
+
+        for chunk in chunks {
+            let restored = try restoreChunk(chunk, langId: langId)
+            restoredChunks.append(restored)
+        }
+
+        return restoredChunks.joined()
+    }
+
+    /// Single chunk restoration (under 512 bytes) using MLShapedArray.
+    private func restoreChunk(_ chunk: String, langId: Int) throws -> String {
+        let utf8Bytes = Array(chunk.utf8)
+        guard !utf8Bytes.isEmpty else { return "" }
+
+        let seqLen = min(utf8Bytes.count, 512)
+
+        // Type-safe MLShapedArray inputs (no manual memory manipulation)
+        let inputScalars: [Int32] = (0..<512).map { i in
+            i < seqLen ? Int32(utf8Bytes[i]) : Int32(0)
+        }
+        let inputShaped = MLShapedArray<Int32>(scalars: inputScalars, shape: [1, 512])
+        let langShaped = MLShapedArray<Int32>(scalars: [Int32(langId)], shape: [1])
+
+        let featureProvider = try MLDictionaryFeatureProvider(dictionary: [
+            "input_ids": MLFeatureValue(multiArray: MLMultiArray(inputShaped)),
+            "lang_ids": MLFeatureValue(multiArray: MLMultiArray(langShaped)),
+        ])
+
+        let prediction = try model.prediction(from: featureProvider)
+        guard let logitsFeature = prediction.featureValue(for: "logits")?.multiArrayValue else {
+            throw MarkError.predictionFailed("Output logits tensor missing")
+        }
+
+        let shapedLogits = MLShapedArray<Float>(converting: logitsFeature)
+        let scalars = shapedLogits.scalars
+        let numTags = self.tags.count
+        var preds: [Int] = []
+        preds.reserveCapacity(seqLen)
+
+        // Fast contiguous scalar access for argmax
+        for pos in 0..<seqLen {
+            let offset = pos * numTags
+            var maxVal = -Float.infinity
+            var maxIdx = 0
+            for tagIdx in 0..<numTags {
+                let val = scalars[offset + tagIdx]
+                if val > maxVal {
+                    maxVal = val
+                    maxIdx = tagIdx
+                }
+            }
+            preds.append(maxIdx)
+        }
+
+        return decodePrediction(chunk: chunk, utf8Bytes: utf8Bytes, predTags: preds)
+    }
+
+    /// Decode raw character bytes and predicted tag sequence into marked text.
+    private func decodePrediction(chunk: String, utf8Bytes: [UInt8], predTags: [Int]) -> String {
+        var result = ""
+        var byteOffset = 0
+
+        for char in chunk {
+            let charByteCount = String(char).utf8.count
+            let tagStr: String
+            if byteOffset < predTags.count {
+                let tagId = predTags[byteOffset]
+                tagStr = (tagId >= 0 && tagId < tags.count) ? tags[tagId] : "KEEP"
+            } else {
+                tagStr = "KEEP"
+            }
+
+            if tagStr.hasPrefix("P:") && tagStr.contains("->") {
+                let parts = tagStr.dropFirst(2).components(separatedBy: "->")
+                if parts.count == 2 {
+                    result.append(parts[1])
+                } else {
+                    result.append(char)
+                }
+            } else if tagStr.hasPrefix("M:") {
+                let hexMarks = tagStr.dropFirst(2).components(separatedBy: "+")
+                var combiningString = String(char)
+                for hex in hexMarks {
+                    if let scalarVal = UInt32(hex, radix: 16), let scalar = UnicodeScalar(scalarVal) {
+                        combiningString.append(String(scalar))
+                    }
+                }
+                result.append(combiningString.precomposedStringWithCanonicalMapping)
+            } else {
+                result.append(char)
+            }
+
+            byteOffset += charByteCount
+        }
+
+        return result
+    }
+
+    /// Swift Regex tokenization preserving whitespace and boundaries.
+    private func splitIntoChunks(_ text: String, maxBytes: Int) -> [String] {
+        guard text.utf8.count > maxBytes else { return [text] }
+
+        let matches = text.matches(of: splitRegex)
+        let tokens = matches.map { String(text[$0.range]) }
+        var chunks: [String] = []
+        var currentChunk = ""
+
+        for token in tokens {
+            if (currentChunk + token).utf8.count <= maxBytes {
+                currentChunk += token
+            } else {
+                if !currentChunk.isEmpty {
+                    chunks.append(currentChunk)
+                    currentChunk = ""
+                }
+                if token.utf8.count <= maxBytes {
+                    currentChunk = token
+                } else {
+                    // Extremely long token exceeding maxBytes
+                    for char in token {
+                        let s = String(char)
+                        if (currentChunk + s).utf8.count > maxBytes {
+                            chunks.append(currentChunk)
+                            currentChunk = s
+                        } else {
+                            currentChunk += s
+                        }
+                    }
+                }
+            }
+        }
+
+        if !currentChunk.isEmpty {
+            chunks.append(currentChunk)
+        }
+
+        return chunks
+    }
+}

Sources/Mark/Resources/languages.json

@@ -0,0 +1,39 @@
+[
+  "ak",
+  "ar",
+  "az",
+  "ca",
+  "cs",
+  "cy",
+  "ee",
+  "es",
+  "ff",
+  "fr",
+  "ga",
+  "gn",
+  "ha",
+  "he",
+  "hr",
+  "ht",
+  "hu",
+  "ig",
+  "ku",
+  "ln",
+  "lt",
+  "lv",
+  "mi",
+  "pl",
+  "pt",
+  "qu",
+  "ro",
+  "sk",
+  "sl",
+  "sm",
+  "sr",
+  "tk",
+  "tr",
+  "uz",
+  "vi",
+  "wo",
+  "yo"
+]

Sources/Mark/Resources/tags.json

@@ -0,0 +1,1775 @@
+[
+  "KEEP",
+  "M:0300",
+  "M:0300+0300",
+  "M:0300+0300+0300",
+  "M:0300+0301",
+  "M:0300+0301+0301",
+  "M:0300+0345",
+  "M:0301",
+  "M:0301+0300",
+  "M:0301+0300+0300",
+  "M:0301+0301",
+  "M:0301+0301+0301",
+  "M:0301+0303",
+  "M:0301+0308",
+  "M:0301+030C",
+  "M:0301+0345",
+  "M:0301+07EF",
+  "M:0302",
+  "M:0302+0300",
+  "M:0302+0300+0309",
+  "M:0302+0301",
+  "M:0302+0303",
+  "M:0302+0309",
+  "M:0302+07EF",
+  "M:0303",
+  "M:0303+0300",
+  "M:0303+0308",
+  "M:0303+102D",
+  "M:0304",
+  "M:0304+0300",
+  "M:0304+0301",
+  "M:0304+0304",
+  "M:0305",
+  "M:0306",
+  "M:0306+0300",
+  "M:0306+0301",
+  "M:0306+0303",
+  "M:0306+0309",
+  "M:0307",
+  "M:0307+0303",
+  "M:0307+0304",
+  "M:0308",
+  "M:0308+0301",
+  "M:0308+0304",
+  "M:0309",
+  "M:030A",
+  "M:030A+0301",
+  "M:030B",
+  "M:030C",
+  "M:030D",
+  "M:030F",
+  "M:0311",
+  "M:0313",
+  "M:0313+0300",
+  "M:0313+0301",
+  "M:0313+0342",
+  "M:0314",
+  "M:0314+0342",
+  "M:0314+0342+0345",
+  "M:0315",
+  "M:0317",
+  "M:0319",
+  "M:031B",
+  "M:031B+0300",
+  "M:031B+0301",
+  "M:031B+0301+0300",
+  "M:031B+0303",
+  "M:031B+0309",
+  "M:031B+0323",
+  "M:031F",
+  "M:031F+0300",
+  "M:031F+0301",
+  "M:0320",
+  "M:0323",
+  "M:0323+0300",
+  "M:0323+0300+0300",
+  "M:0323+0300+0300+0300+0300",
+  "M:0323+0300+0300+0300+0300+0300+0300+0300+0300+0300+0300+0300+0300+0300+0300+0300",
+  "M:0323+0300+0300+0301",
+  "M:0323+0300+0301",
+  "M:0323+0300+0301+0300",
+  "M:0323+0301",
+  "M:0323+0301+0300",
+  "M:0323+0301+0300+0301",
+  "M:0323+0301+0301",
+  "M:0323+0301+0301+0301+0301",
+  "M:0323+0302",
+  "M:0323+0303",
+  "M:0323+0304",
+  "M:0323+0306",
+  "M:0323+0308",
+  "M:0323+030C",
+  "M:0323+0323",
+  "M:0323+0323+0300",
+  "M:0323+0323+0301",
+  "M:0323+0323+0301+0300",
+  "M:0323+0323+0302",
+  "M:0323+0323+0323+0301",
+  "M:0323+0323+0323+0323",
+  "M:0323+0323+0323+0323+0300",
+  "M:0323+0323+0323+0323+0323+0323+0323+0323+0323+0301+0301+0301+0301+0301+0301+0301",
+  "M:0323+0342",
+  "M:0324",
+  "M:0325",
+  "M:0326",
+  "M:0327",
+  "M:0327+0323",
+  "M:0327+0327",
+  "M:0327+0331",
+  "M:0328",
+  "M:0328+0303",
+  "M:0328+0323",
+  "M:0328+0328",
+  "M:032A",
+  "M:032F",
+  "M:0330",
+  "M:0331",
+  "M:0331+0301",
+  "M:0331+0331",
+  "M:0331+0331+0331",
+  "M:0332",
+  "M:0334",
+  "M:0335+0308",
+  "M:0336",
+  "M:0338",
+  "M:033E",
+  "M:0342",
+  "M:0342+0345",
+  "M:0345",
+  "M:0347",
+  "M:034F",
+  "M:0355",
+  "M:0361",
+  "M:036E",
+  "M:0591",
+  "M:0592",
+  "M:0594",
+  "M:0595",
+  "M:0596",
+  "M:0597",
+  "M:0598",
+  "M:0599",
+  "M:059A",
+  "M:059B",
+  "M:059C",
+  "M:059D",
+  "M:059D+0597",
+  "M:059E",
+  "M:059F",
+  "M:05A0",
+  "M:05A1",
+  "M:05A3",
+  "M:05A3+059B",
+  "M:05A4",
+  "M:05A5",
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+  "M:05A6",
+  "M:05A7",
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+  "M:05AE",
+  "M:05B0",
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+  "M:05B0+05BC+05BD+05AD",
+  "M:05B0+05BC+05C1",
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+  "M:05B0+05BD",
+  "M:05B0+05BD+05A0",
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+  "M:05B0+05BD+05C1",
+  "M:05B0+05BD+05C2",
+  "M:05B0+05BF",
+  "M:05B0+05C1",
+  "M:05B0+05C1+059A",
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+  "M:05B0+05C2+05A0",
+  "M:05B0+05C2+05AD",
+  "M:05B0+05C4",
+  "M:05B1",
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+  "M:0653+06D7",
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+  "M:0657",
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+  "M:065C",
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+  "M:0670+0653+06DA",
+  "M:0670+0654",
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+  "M:06D6",
+  "M:06D7",
+  "M:06D8",
+  "M:06D9",
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+  "M:06DC",
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+  "M:06DF",
+  "M:06E0",
+  "M:06E1",
+  "M:06E1+06D6",
+  "M:06E1+06D7",
+  "M:06E1+06D8",
+  "M:06E1+06DA",
+  "M:06E2",
+  "M:06E4",
+  "M:06E4+06DA",
+  "M:06E7",
+  "M:06EA",
+  "M:06EC",
+  "M:06ED",
+  "M:06ED+0654",
+  "M:08F0+0654",
+  "M:0901",
+  "M:0902",
+  "M:093C",
+  "M:0941",
+  "M:0941+0902",
+  "M:0942",
+  "M:0942+0901",
+  "M:0943",
+  "M:0947",
+  "M:0947+0902",
+  "M:0948",
+  "M:0948+0902",
+  "M:094D",
+  "M:09BC",
+  "M:09BC+09CD",
+  "M:09C1",
+  "M:09C2",
+  "M:09C3",
+  "M:09CD",
+  "M:0AC1",
+  "M:0B4D",
+  "M:0BC0",
+  "M:0BCD",
+  "M:0C3E",
+  "M:0C46",
+  "M:0CBF",
+  "M:0CCD",
+  "M:0D00",
+  "M:0D00+0D00",
+  "M:0D00+0D00+0D00+0D00",
+  "M:0D00+0D00+0D00+0D00+0D00+0D00",
+  "M:0D41",
+  "M:0D42",
+  "M:0D4D",
+  "M:0DCA",
+  "M:0DD2",
+  "M:0DD3",
+  "M:0E31",
+  "M:0E34",
+  "M:0E35",
+  "M:0E35+0E48",
+  "M:0E36+0E48",
+  "M:0E37",
+  "M:0E38",
+  "M:0E39",
+  "M:0E47",
+  "M:0E48",
+  "M:0E49",
+  "M:0E4C",
+  "M:102D+102F+1037",
+  "M:103A",
+  "M:103D",
+  "M:103D+103E",
+  "M:17C6",
+  "M:17D2",
+  "M:1E944",
+  "M:1E945",
+  "M:1E946",
+  "M:3099",
+  "M:309A",
+  "M:FE06+FE06",
+  "M:FE06+FE06+FE06+FE06",
+  "M:FE0E",
+  "M:FE0F",
+  "M:FE26",
+  "P:O->Ɔ",
+  "P:E->Ɛ",
+  "P:o->ɔ",
+  "P:e->ɛ",
+  "P:I->ı",
+  "P:e->ə",
+  "P:N->Ŋ",
+  "P:n->ŋ",
+  "P:D->Ɖ",
+  "P:G->Ɣ",
+  "P:V->Ʋ",
+  "P:d->ɖ",
+  "P:g->ɣ",
+  "P:v->ʋ",
+  "P:B->Ɓ",
+  "P:D->Ɗ",
+  "P:K->Ƙ",
+  "P:k->ƙ",
+  "P:Y->Ƴ",
+  "P:y->ƴ",
+  "P:b->ɓ",
+  "P:d->ɗ",
+  "P:D->Đ",
+  "P:d->đ",
+  "P:'->ʻ",
+  "P:L->Ł",
+  "P:l->ł",
+  "P:S->Ș",
+  "P:s->ș",
+  "P:T->Ț",
+  "P:t->ț"
+]