755 Open source projects that are alternatives of or similar to Pycantonese

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PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

Unsupervised text tokenizer focused on computational efficiency

Unsupervised text tokenizer for Neural Network-based text generation.

A Vietnamese natural language processing toolkit (NAACL 2018)

Thai Natural Language Processing in Python.

NLTK Data

A comparison tool of Japanese tokenizers

Fast and customizable text tokenization library with BPE and SentencePiece support

📚Survey of previous research and related works on machine learning (especially Deep Learning) in Japanese

Persian (Farsi) Stop Words List

🤖 The Cocoa Artificial Intelligence Lab

Pre-Trained Models for ToD-BERT

Notebooks for the Seattle PyData 2017 talk on Scattertext

R client for the Google Translation API, Google Cloud Natural Language API and Google Cloud Speech API

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Preprocessing Library for Natural Language Processing

🌿 An easy-to-use Japanese Text Processing tool, which makes it possible to switch tokenizers with small changes of code.

Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites

A JavaFX based desktop search application.

互联网大厂面试经验

Code for Learning to select data for transfer learning with Bayesian Optimization

Lyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network

PyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

A Multi-Aspect Multi-Sentiment Dataset for aspect-based sentiment analysis.

Code for the ACL 2018 paper "Neural Document Summarization by Jointly Learning to Score and Select Sentences"

Free and open source A.I. system based on Python, TensorFlow and Prolog.

阿里天池首届中文NL2SQL挑战赛top6

An overview of the AI-as-a-service landscape

Stanford NLP group's shared Python tools.

Unsupervised Data Augmentation (UDA)

A Ruby natural language processor.

Deep Learning model to analyze a large corpus of clear text passwords.

Data augmentation for NLP

NLP, before and after spaCy

Machine learning models to automatically summarise scientific papers

Character-based word embeddings model based on RNN for handling real world texts

LexPredict ContraxSuite

RASA chatbot use case boilerplate

Implementation of the paper Tree Transformer

Crawler for linguistic corpora

Monolingual wordlists with pronunciation information in IPA

🔮 Neuro.js is machine learning library for building AI assistants and chat-bots (WIP).

This repository contains landmark research papers in Natural Language Processing that came out in this century.

Helsinki Prosody Corpus and A System for Predicting Prosodic Prominence from Text

My personal toolkit for PyTorch development.

Machine Learning University: Accelerated Natural Language Processing Class

💫 Scripts, tools and resources for developing spaCy

Character-level Convolutional Neural Networks for text classification in PyTorch

Worth-reading papers and related awesome resources on aspect-based sentiment analysis (ABSA). 值得一读的方面级情感分析论文与相关资源集合

1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.

A baseline implementation for FNC-1

A curated list of NLP resources for Hungarian

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Machine reading comprehension on clinical case reports

🎀 JavaScript API for spaCy with Python REST API

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

Code for Sluice networks: Learning what to share between loosely related tasks