You are in : Home » Results & submissions » Select UOA » 11 - Computer Science and Informatics » View submission: University of Sheffield » Outputs » Detail

Output details

11 - Computer Science and Informatics

University of Sheffield

Return to search Previous output Next output

Output 7 of 109 in the submission

Output title

A Discriminative Latent Variable Model for Statistical Machine Translation

Type

E - Conference contribution

DOI

Name of conference/published proceedings

Proceedings of ACL-08: HLT

Volume number

Issue number

First page of article

200

ISSN of proceedings

Year of publication

2008

URL

Number of additional authors

Additional information

<22>Discriminative training is a critical step for constructing accurate machine translation systems. This work [GoogleScholar: 87] was one of the first large-scale methods for discriminative training, and allowed expressive features to be included into translation systems. This paper has directly influenced many leading machine translation groups, including Google (tech talk http://www.youtube.com/watch?v=He8QAsVsu1o), ISI/Language Weaver (invited talk hosted by Daniel Marcu), Microsoft and IBM (both cited work). ACL/HLT has an acceptance rate of 25%. This work formed the basis for a recent EPSRC Early Career Fellowship award, and an international visiting scholar position (Melbourne).

Interdisciplinary

Cross-referral requested

Research group

C - Natural Language Processing

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract