BertJapaneseTokenizer 1.0.9

dotnet add package BertJapaneseTokenizer --version 1.0.9                
NuGet\Install-Package BertJapaneseTokenizer -Version 1.0.9                
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="BertJapaneseTokenizer" Version="1.0.9" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add BertJapaneseTokenizer --version 1.0.9                
#r "nuget: BertJapaneseTokenizer, 1.0.9"                
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install BertJapaneseTokenizer as a Cake Addin
#addin nuget:?package=BertJapaneseTokenizer&version=1.0.9

// Install BertJapaneseTokenizer as a Cake Tool
#tool nuget:?package=BertJapaneseTokenizer&version=1.0.9                

BertJapaneseTokenizer

Minimal Tokenizer implementation of BertJapanese(cl-tohoku/bert-base-japanese) in C#

Quickstart

  1. Just add BertJapaneseTokenizer package from Nuget.
  2. Download unidic mecab dictionary unidic-mecab-2.1.2_bin.zip from https://clrd.ninjal.ac.jp/unidic_archive/cwj/2.1.2/ and unzip the archive into somewhere.
  3. Download vocab file BertJapanese from Huggingface. For example, vocab.txt of bert-base-japanese-v2 can be accessed from [here].
    (Or you can simply use my extension method GetVocabFromHub(). See the example below.)
  4. Check the example code below and you are good to go.
using BertJapaneseTokenizer;

var dicPath = @"D:\DATASET\unidic-mecab-2.1.2_bin";
//var vocabPath = @"D:\DATASET\bert-japanese\bert-base-japanese-v2\vocab.txt";
var vocabPath = await HuggingFace.GetVocabFromHub("tohoku-nlp/bert-base-japanese-v2");
var tokenizer = new BertJapaneseTokenizer.BertJapaneseTokenizer(dicPath, vocabPath);

var sentence = "打ち合わせが終わった後にご飯を食べましょう。";
//var sentence = "ご飯を食べましょう。";
//var sentence = "打ち合わせ";

(var tokenIds, var attentionMask) = tokenizer.EncodePlus(sentence);

Console.WriteLine($"Sentence: {sentence}");
Console.WriteLine($"Token IDs: {string.Join(", ", tokenIds)}");

var decoded = tokenizer.Decode(tokenIds);
Console.WriteLine($"Decoded: {decoded}");

To-do List

  • Implement Decode() method
  • Support BPE-type vocabulary (like cl-tohoku/bert-base-japanese-char)
Product Compatible and additional computed target framework versions.
.NET net6.0 is compatible.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 is compatible.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 is compatible.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (1)

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EDMTranslator

Text translator library based on LLM models, especially EncoderDecoderModel in HuggingFace

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Version Downloads Last updated
1.0.9 150 9/6/2024
1.0.8 183 6/16/2024
1.0.7 255 6/11/2024
1.0.5 139 6/10/2024 1.0.5 is deprecated because it is no longer maintained.