Output details
15 - General Engineering
University of Cambridge
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Output 0 of 0 in the submission
Output title
Hierarchical Phrase-based Translation Representations
Type
E - Conference contribution
DOI
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Name of conference/published proceedings
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing
Volume number
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Issue number
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First page of article
1373
ISSN of proceedings
-
Year of publication
2011
Number of additional authors
4
Additional information
Joint work with Google Research (New York), supported by a Google Faculty Research Award. EMNLP is a top international conference, with a 24% acceptance rate in 2011. One reviewer noted 'This is a superb paper that takes an automata-theoretic view of the decoding problem in machine translation' and another that 'Rarely does one see a paper heavy with formal language theory, definitions, and algorithms that ends with a strong experimental section, including concrete improvements in (translation) score.' Algorithms described are now implemented in the open source OpenFST Toolkit distributed by Google. A journal article is under review at Computational Linguistics.
Interdisciplinary
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Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
