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Output details

15 - General Engineering

University of Cambridge

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Output 256 of 616 in the submission
Article title

HMM word and phrase alignment for statistical machine translation

Type
D - Journal article
Title of journal
IEEE Transactions on Audio Speech and Language Processing
Article number
-
Volume number
16
Issue number
3
First page of article
494
ISSN of journal
1558-7916
Year of publication
2008
URL
-
Number of additional authors
1
Additional information

These algorithms are implemented in the open source MTTK Toolkit, which has been downloaded by students and researchers world-wide for teaching and university research. Cambridge translation systems using MTTK are competitive in international evaluations of machine translation: as noted for another selected output, the authors had the top-scoring Arabic-English system at the NIST (USA) 2009 Open Machine Translation Evaluation, and were amongst the top French/Spanish-English systems at the 2010 FP-7 sponsored Workshop on Machine Translation. The core algorithms described have attracted commercial interest: they have been reimplemented in a distributed, `big data', setting by SDL Research, Cambridge.

Interdisciplinary
-
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
-