XNMT: The eXtensible Neural Machine Translation Toolkit

03/01/2018
by   Graham Neubig, et al.
0

This paper describes XNMT, the eXtensible Neural Machine Translation toolkit. XNMT distin- guishes itself from other open-source NMT toolkits by its focus on modular code design, with the purpose of enabling fast iteration in research and replicable, reliable results. In this paper we describe the design of XNMT and its experiment configuration system, and demonstrate its utility on the tasks of machine translation, speech recognition, and multi-tasked machine translation/parsing. XNMT is available open-source at https://github.com/neulab/xnmt

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/10/2017

OpenNMT: Open-Source Toolkit for Neural Machine Translation

We describe an open-source toolkit for neural machine translation (NMT)....
research
02/17/2018

CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++

This paper presented an open-source neural machine translation toolkit n...
research
07/12/2022

Sockeye 3: Fast Neural Machine Translation with PyTorch

Sockeye 3 is the latest version of the Sockeye toolkit for Neural Machin...
research
08/19/2018

SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

This paper describes SentencePiece, a language-independent subword token...
research
07/29/2019

Joey NMT: A Minimalist NMT Toolkit for Novices

We present Joey NMT, a minimalist neural machine translation toolkit bas...
research
09/18/2015

A Light Sliding-Window Part-of-Speech Tagger for the Apertium Free/Open-Source Machine Translation Platform

This paper describes a free/open-source implementation of the light slid...
research
08/14/2023

SOTASTREAM: A Streaming Approach to Machine Translation Training

Many machine translation toolkits make use of a data preparation step wh...

Please sign up or login with your details

Forgot password? Click here to reset