《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models

Bitextor generates translation memories from multilingual websites

A large-scale statistical machine translation system written in Java.

A list of awesome Machine Translation frameworks, libraries, software and papers

NiuTrans.SMT is an open-source statistical machine translation system developed by a joint team from NLP Lab. at Northeastern University and the NiuTrans Team. The NiuTrans system is fully developed in C++ language. So it runs fast and uses less memory. Currently it supports phrase-based, hierarchical phrase-based and syntax-based (string-to-tre…

Open information and community for machine translation

Thot toolkit for statistical machine translation

A corpus that can be used to train English-to-Italian End-to-End Speech-to-Text Machine Translation models

Python application, generating parallel corpus for any language pairs, can be used for training nmt (Neural Machine Translation) systems

Keras sentence classification

Code for "BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings" (AAAI 2017)

A shell script installer for statistical machine translation tools like mosesdecoder, moses2, giza++, irstlm, srilm, indic nlp library

A project to translate the Voynich Manuscript into English

A simple SMT system for English to Hindi

A Simple DOM Parser and Translation Tool using PHP, HTML, and MySQL. The translation model is supported for English to Odia language. There is a built in dictionary to support the translation.

Assignment 2: Neural Machine Translation in 'Statistical Machine Translation' course by Dr. Roee Aharoni at Bar-Ilan University.

Scripts for building statistical machine translation system using the Moses toolkit.

Assignment 1: Word Alignment in 'Statistical Machine Translation' course by Dr. Roee Aharoni at Bar-Ilan University.

Phrase Based Machine Translation Model and various Neural Machine Translation Models for translations between Hindi and Urdu languages

Practice works for Statistical Machine Translation course at UNIGE.ch