CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
- natural-language-processing
- nlp
- nlp-parsing
- named-entity-recognition
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CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
Self-contained Machine Learning and Natural Language Processing library in Go
Self-contained Japanese Morphological Analyzer written in pure Go
Translated斑海豹 (Spotted Seal) — Phocinae-Largha-150M-v1: a 144.3M bilingual decision model. Tiny model. Big decisions.
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
:wink: :cyclone: :strawberry: TextRank implementation in Golang with extendable features (summarization, phrase extraction) and multithreading (goroutine).
Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.
A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.
A smorgasbord architecture for coreference resolution in biomedical text