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COLING
2008
13 years 11 months ago
Multilingual Alignments by Monolingual String Differences
We propose a method to obtain subsentential alignments from several languages simultaneously. The method handles several languages at once, and avoids the complexity explosion due...
Adrien Lardilleux, Yves Lepage
LREC
2010
150views Education» more  LREC 2010»
13 years 11 months ago
Achieving Domain Specificity in SMT without Overt Siloing
We examine pooling data as a method for improving Statistical Machine Translation (SMT) quality for narrowly defined domains, such as data for a particular company or public entit...
William D. Lewis, Chris Wendt, David Bullock
ANLP
2000
61views more  ANLP 2000»
13 years 11 months ago
Word-for-Word Glossing with Contextually Similar Words
Many corpus-based machine translation systems require parallel corpora. In this paper, we present a word-for-word glossing algorithm that requires only a source language corpus. T...
Patrick Pantel, Dekang Lin
COLING
2000
13 years 11 months ago
Improving SMT quality with morpho-syntactic analysis
In the framework of statistical machine translation (SMT), correspondences between the words in the source and the target language are learned from bilingual corpora on the basis ...
Sonja Nießen, Hermann Ney
NAACL
2010
13 years 7 months ago
Prenominal Modifier Ordering via Multiple Sequence Alignment
Producing a fluent ordering for a set of prenominal modifiers in a noun phrase (NP) is a problematic task for natural language generation and machine translation systems. We prese...
Aaron Dunlop, Margaret Mitchell, Brian Roark