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Tags: NLP library
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1–23 of 23 · Most stars

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  • nlp
  • pre-trained-model
  • unilm
  • minilm

Go efficient fast multilingual NLP and text segmentation; support English, Chinese, Japanese and others.

  • go
  • segment
  • nlp
  • gse

Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining

A full spaCy pipeline and models for scientific/biomedical documents.

  • scientific-documents
  • spacy
  • custom-pipes
  • nlp

Translated斑海豹 (Spotted Seal) — Phocinae-Largha-150M-v1: a 144.3M bilingual decision model. Tiny model. Big decisions.

  • bilingual
  • calibration
  • cpu-inference
  • decision-making

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.

Natural Language Processing (NLP) library for Crystal

  • string-distance
  • stemmer
  • inflector
  • sentiment-analysis

An NLP library for Uralic languages such as Finnish, Skolt Sami, Moksha and so on. Also supporting some non-Uralic languages such as Spanish, French, Arabic, Swedish, Norwegian, Russian and English. LLMs, FSTs and More!

Tagify produces a set of tags from a given source. Source can be either an HTML page, a Markdown document or a plain text. Supports English, Russian, Chinese, Hindi, Spanish, Arabic, Japanese, German, Hebrew, French and Korean languages.

  • tagify
  • keywords
  • keyword-extraction
  • html

Ruby gem to calculate statistics from text to determine readability, complexity and grade level of a particular corpus.

  • textstat
  • flesch-kincaid-grade
  • smog
  • flesch-reading-ease

A tokenizer based on the dictionary and Bigram language models for Go. (Now only support chinese segmentation)

  • tokenizer
  • segmentation
  • golang