931 Open source projects that are alternatives of or similar to Ja.text8

Shared repository for open-sourced projects from the Google AI Language team.

An Integrated Corpus Tool With Multilingual Support for the Study of Language, Literature, and Translation

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

Style and Grammar Checker for 25+ Languages

Self-contained Machine Learning and Natural Language Processing library in Go

A curated list of beginner resources in Natural Language Processing

Python tutorials as Jupyter Notebooks for NLP, ML, AI

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Text mining using tidy tools ✨📄✨

A collection of notebooks for Natural Language Processing from NLP Town

Awesome Search - this is all about the (e-commerce) search and its awesomeness

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Neural question generation using transformers

Japanese IOB2 tagged corpus for Named Entity Recognition.

Multiple implementations for abstractive text summurization , using google colab

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

How to use TensorLayer

A Python package for gender classification.

A Vietnamese natural language processing toolkit (NAACL 2018)

Curated List: Practical Natural Language Processing done in Ruby

Compendium of the resources available from top NLP conferences.

Natural Korean Processor for Apache Spark

repository to research & share the machine learning articles

Spellcheck, phonetics, text processing and more

This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)

Word Embeddings (e.g. Word2Vec) in Go!

repo with challenge material for riceteacatpanda (2020)

Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

ADAM - A Question Answering System. Inspired from IBM Watson

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

🏇 聊天机器人，自然语言理解，语义理解

A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.

ByteNet for character-level language modelling

Codes for "Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method"

💥 displaCy.js: An open-source NLP visualiser for the modern web

Solutions for CS224n course from Stanford University: Natural Language Processing with Deep Learning

A paper list for aspect based sentiment analysis.

Toolbox of models, callbacks, and datasets for AI/ML researchers.

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

Implementation of Nested Named Entity Recognition using BERT

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡

A fast, low-resource Natural Language Processing and Text Correction library written in Rust.

Code for the collection and analysis of the MTNT dataset

Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

Paper reading list in natural language processing, including dialogue systems and text generation related topics.

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My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.

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💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy

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