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TranslatedChinese word segmentation, part-of-speech tagging, named entity recognition, dependency parsing, constituency parsing, semantic dependency parsing, semantic role labeling, coreference resolution, style transfer, semantic similarity, new word discovery, keyword and keyphrase extraction, automatic summarization, text classification and clustering, pinyin and Simplified/Traditional Chinese conversion, natural language processing
💫 Industrial-strength Natural Language Processing (NLP) in Python
A very simple framework for state-of-the-art Natural Language Processing (NLP)
modest natural-language processing
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
State of the Art Natural Language Processing
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
A curated list of NLP resources for Hungarian
Apache cTAKES is a Natural Language Processing (NLP) platform for clinical text.