Amanote Research

Amanote Research

    RegisterSign In

Discriminative Alignment Training Without Annotated Data for Machine Translation

doi 10.3115/1614108.1614130
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2007

Authors
Patrik LambertRafael E. BanchsJosep M. Crego
Publisher

Association for Computational Linguistics


Related search

Paraphrasing Training Data for Statistical Machine Translation

Journal of Natural Language Processing
2010English

Discriminative Corpus Weight Estimation for Machine Translation

2009English

Phrase Alignment for Example-Based Machine Translation.

Journal of Natural Language Processing
2003English

HMM Word and Phrase Alignment for Statistical Machine Translation

2005English

Loss-Sensitive Discriminative Training of Machine Transliteration Models

2009English

Explicit Cross-Lingual Pre-Training for Unsupervised Machine Translation

2019English

Co-Occurrence Degree Based Word Alignment in Statistical Machine Translation

The Open Automation and Control Systems Journal
2014English

Incremental Hypothesis Alignment for Building Confusion Networks With Application to Machine Translation System Combination

2008English

Improving Neural Machine Translation by Achieving Knowledge Transfer With Sentence Alignment Learning

2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy