#自然语言处理#《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models
#网络爬虫#Bitextor generates translation memories from multilingual websites
#自然语言处理#A large-scale statistical machine translation system written in Java.
#Awesome#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 i...
Open information and community for machine translation
#自然语言处理#Thot toolkit for statistical machine translation
#自然语言处理#Python application, generating parallel corpus for any language pairs, can be used for training nmt (Neural Machine Translation) systems
A corpus that can be used to train English-to-Italian End-to-End Speech-to-Text Machine Translation models
#计算机科学#Keras sentence classification
Code for "BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings" (AAAI 2017)
#自然语言处理#A shell script installer for statistical machine translation tools like mosesdecoder, moses2, giza++, irstlm, srilm, indic nlp library
#自然语言处理# A project to translate the Voynich Manuscript into English
#自然语言处理#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.
#计算机科学#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.
#自然语言处理#Assignment 1: Word Alignment in 'Statistical Machine Translation' course by Dr. Roee Aharoni at Bar-Ilan University.
Practice works for Statistical Machine Translation course at UNIGE.ch
Phrase Based Machine Translation Model and various Neural Machine Translation Models for translations between Hindi and Urdu languages