musyoku/unsupervised-pos-tagging

教師なし品詞タグ推定

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Experimental

This helps computational linguists and natural language processing researchers automatically identify the grammatical function of words in text without needing pre-labeled examples. You provide raw text in languages like English or Japanese, and it outputs each word tagged with its part-of-speech (e.g., noun, verb, adjective). This is for those who analyze large text corpora and need to understand linguistic structure.

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Use this if you need to analyze the grammatical structure of text but lack the time or resources to manually label data for training, especially for research into new languages or domains.

Not ideal if you already have access to large, labeled datasets for part-of-speech tagging or if you need highly precise results for common languages where supervised models excel.

natural-language-processing computational-linguistics text-analysis linguistic-research information-extraction
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C++

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Last pushed

Mar 22, 2018

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