Search Results for "mecab-ipadic"
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Showing 8 open source projects for "mecab-ipadic"
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SentencePiece
Unsupervised text tokenizer for Neural Network-based text generation
...SentencePiece allows us to make a purely end-to-end system that does not depend on language-specific pre/postprocessing. Purely data driven, sentencePiece trains tokenization and detokenization models from sentences. Pre-tokenization (Moses tokenizer/MeCab/KyTea) is not always required. SentencePiece treats the sentences just as sequences of Unicode characters. There is no language-dependent logic. -
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KoNLPy
Python package for Korean natural language processing
KoNLPy is a natural language processing (NLP) library for the Korean language, offering tokenization, morphological analysis, and named entity recognition. -
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Alissa.UniDic-CWJ.binary
An unofficial nuget binary package of UniDic-CWJ
Alissa.UniDic-CWJ.binary is a nuget package to provide binary dictionary of "UniDic-CWJ, the analysis dictionary for the morphological analizer MeCab" (解析用現代書き言葉 UniDic). UniDIc-CWJ is an analysis dictionary for Japanese languages for use with he morphological analizer MeCab, published by the UniDic Consortium. This is Alissa Sabre's unofficial packaging to help setting up the dictionary for use in your app. Read some more details on this package on GitHub https://github.com/AlissaSabre/Alissa.UniDic-CWJ.binary -
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Budou
Budou is an auto organizer tool for beautiful line breaking in CJK
...These spans can be styled with CSS to ensure smooth, visually coherent line breaks without splitting words or phrases. The tool supports multiple segmentation backends, including Google Cloud Natural Language API, MeCab, and TinySegmenter, enabling flexibility for both cloud-based and offline processing. Budou can be used via command line, in Python scripts, or integrated into web applications, and it provides advanced options such as caching and entity recognition for improved segmentation accuracy. -
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IDEA (Text Data Visualizer)
Text Data Visualizer with Django
It is hard for non-developer to visualize data. But if you use IDEA, you can visualize data easily. If you want to test Project: IDEA locally on your environment, you require mecab-ko and mecab-ko-dic. If you have some data which you want to visualize, just put it in IDEA. Then click the Visualization button! -
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AJ-JpnRa Tool
｢AJ-JpnRa Tool｣ is Japanese text readability analysis program.
We temporarily suspend the release of the program due to a patent application. -2020.09 AJ-JpnRa Tool is Japanese text readability analysis program, is mainly ordered by the guidelines of JLPT. You can analyze Japanese-Text Readability with the length and Chinese character level of the text by using the AJ-JpnRa Tool. And Chinese character level is analyzed by the database(AJ-JpnRa Tool), which was built according to essential Chinese character education guideline of Japan elementary... -
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MySQL (5.1 and later) full-text parser plugins collection. This collection provides bigram, mecab , space, snowball and suffix parser. If you want to use Chinese or Japanese, bigram plugin might be useful.
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MeCab is a fast and customizable Japanese morphological analyzer. MeCab is designed for generic purpose and applied to variety of NLP tasks, such as Kana-Kanji conversion. MeCab provides parameter estimation functionalities based on CRFs and HMM
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