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Stanza is a Python natural language processing library designed for tokenization, lemmatization, and dependency parsing across many human languages using neural models. It provides a neural processing pipeline that converts raw text into structured linguistic data objects, alongside a specialized analyzer for extracting medical insights from clinical and biomedical language. The project includes a wrapper that connects Python scripts to Java-based natural language processing tools and remote annotation servers. This enables a bridge for extracting linguistic annotations and analysis data from
YSDA course in Natural Language Processing
A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.
Sockeye is an open-source sequence-to-sequence framework for Neural Machine Translation built on PyTorch. It implements distributed training and optimized inference for state-of-the-art models, powering Amazon Translate and other MT applications. Recent developments and changes are tracked in…
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The main features of dmlc/gluon-nlp are: Python NLP Libraries.
Projects with overlapping indexed features include: stanfordnlp/stanza — Stanza is a Python natural language processing library designed for tokenization, lemmatization, and dependency… yandexdataschool/nlp_course — YSDA course in Natural Language Processing. artificiai/multilingual-latent-dirichlet-allocation-lda — A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse… bigartm/bigartm — Fast topic modeling platform. brikerman/kashgari — Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and… awslabs/sockeye — Sockeye is an open-source sequence-to-sequence framework for Neural Machine Translation built on PyTorch. It…