Natural language processing (NLP) is an exciting field of computer science, artificial intelligence, and computational linguistics.
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Natural language processing (NLP) is an exciting field of computer science, artificial intelligence, and computational linguistics.
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DL4J is a suite of tools for deploying and training deep learning models using the JVM.
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Natural language processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages.
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flair is a very simple framework for state-of-the-art Natural Language Processing (NLP). The project is based on PyTorch 0.4+ and Python 3.6+.
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PyTorch-NLP is a library of neural network layers, text processing modules and datasets designed to accelerate NLP research.
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Snips NLU is a Natural Language Understanding python library that allows to parse sentences written in natural language.
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PyTorch-Transformers is a library of state-of-the-art pre-trained models for Natural Language Processing (NLP).
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NLP Architect is an open source Python library for exploring state-of-the-art deep learning topologies and techniques for NLP and NLU.
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AllenNLP is an Apache 2.0 NLP research library, built on PyTorch, for developing state-of-the-art deep learning models.
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GluonNLP is a deep learning framework that enables easy text preprocessing, datasets loading and neural models. Free and open source software.
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textacy is a Python library for performing a variety of natural language processing (NLP) tasks, built on the high-performance spaCy library.
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NLTK, the Natural Language Toolkit, is a suite of open source Python modules, data sets and tutorials supporting research and development.
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spaCy is an open-source software library for advanced Natural Language Processing, written in the programming languages Python and Cython.
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nlpnet is a Python library for NLP tasks based on neural networks. It performs part-of-speech tagging and semantic role labeling.
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TextBlob is an open source, Python (2 and 3) library for processing textual data. It provides a consistent API.
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Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora.
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Polyglot is a natural language pipeline that supports massive multilingual applications. It’s written in Python.
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PyNLPl is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks.
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Pattern is a web mining module for Python. It is well documented, thoroughly tested with 350+ unit tests and comes bundled with 50+ examples.
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Natural language processing (NLP) is a set of techniques for using computers to detect in human language the kinds of things that humans detect automatically.
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