1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
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Updated
Jun 10, 2024 - Python
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
Underthesea - Vietnamese NLP Toolkit
This project focuses on implementing a dependency parser using the arc-eager oracle.
A powerful dependency resolver for maven repositories.
Scripts, algorithms and files for a rule-based and ML-based approach for binary classification of regulatory / non-regulatory sentences in EU legislative documents, as well as code for evaluating the accuracy of these approaches
The course notes about Stanford CS224n Natural Language Processing with Deep Learning Winter 2019 (using PyTorch)
Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
Fully Incremental Neural Dependency and Constituency Parsing
Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing
The Mingled Structured Predictor
A plug-and-play adapter architecture that efficiently adapts large language models to downstream tasks. Essential for client-server architecture language model services. A practical approach to adapting LLMs' hidden activations without modifying the base model.
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and much more...
State-of-the-art, lightweight NLP tools for Turkish language. Developed by VNGRS.
Completed as part of the "Natural Language Processing" course, this project employs the ArcEager parsing algorithm. Implementation is carried out using PyTorch and the Hugging Face library for utilizing pretrained BERT models.
HuSpaCy: industrial-strength Hungarian natural language processing
Official repository for the paper: "Probing LLMs for Joint Encoding of Linguistic Categories." Findings of EMNLP 2023.
Kyoto University Web Document Leads Corpus
Natural language processing on Universal Dependencies framework
A Theano implementation of the biaffine parser in paper "Deep Biaffine Attention for Neural Dependency Parsing".
Neural syntax annotator, supporting sequence labeling, lemmatization, and dependency parsing.
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