OxLM: A Neural Language Modelling Framework for Machine Translation

This paper presents an open source implementation1 of a neural language model for machine translation. Neural language models deal with the problem of data sparsity by learning distributed representations for words in a continuous vector space. The language modelling probabilities are estimated by p...

Full description

Bibliographic Details
Main Authors: Paul Baltescu, Phil Blunsom, Hieu Hoang
Format: Article
Language:English
Published: Sciendo 2014-09-01
Series:Prague Bulletin of Mathematical Linguistics
Online Access:https://doi.org/10.2478/pralin-2014-0016