Sciweavers

ACL
2007
13 years 6 months ago
Bootstrapping Word Alignment via Word Packing
We introduce a simple method to pack words for statistical word alignment. Our goal is to simplify the task of automatic word alignment by packing several consecutive words togeth...
Yanjun Ma, Nicolas Stroppa, Andy Way
ACL
2008
13 years 6 months ago
Bayesian Learning of Non-Compositional Phrases with Synchronous Parsing
We combine the strengths of Bayesian modeling and synchronous grammar in unsupervised learning of basic translation phrase pairs. The structured space of a synchronous grammar is ...
Hao Zhang, Chris Quirk, Robert C. Moore, Daniel Gi...
ACL
2007
13 years 6 months ago
Tailoring Word Alignments to Syntactic Machine Translation
Extracting tree transducer rules for syntactic MT systems can be hindered by word alignment errors that violate syntactic correspondences. We propose a novel model for unsupervise...
John DeNero, Dan Klein
ACL
2008
13 years 6 months ago
Better Alignments = Better Translations?
Automatic word alignment is a key step in training statistical machine translation systems. Despite much recent work on word alignment methods, alignment accuracy increases often ...
Kuzman Ganchev, João Graça, Ben Task...
FINTAL
2006
13 years 8 months ago
Improving Statistical Word Alignments with Morpho-syntactic Transformations
Abstract. This paper presents a wide range of statistical word alignment experiments incorporating morphosyntactic information. By means of parallel corpus transformations accordin...
Adrià de Gispert, Deepa Gupta, Maja Popovic...
AMTA
2004
Springer
13 years 10 months ago
Multi-align: Combining Linguistic and Statistical Techniques to Improve Alignments for Adaptable MT
Abstract. An adaptable statistical or hybrid MT system relies heavily on the quality of word-level alignments of real-world data. Statistical alignment approaches provide a reasona...
Necip Fazil Ayan, Bonnie J. Dorr, Nizar Habash
AMTA
2004
Springer
13 years 10 months ago
: Improving Domain-Specific Word Alignment with a General Bilingual Corpus
In conventional word alignment methods, some employ statistical models or statistical measures, which need large-scale bilingual sentencealigned training corpora. Others employ dic...
Hua Wu, Haifeng Wang
IJCNLP
2005
Springer
13 years 10 months ago
Improving Statistical Word Alignment with Ensemble Methods
Abstract. This paper proposes an approach to improve statistical word alignment with ensemble methods. Two ensemble methods are investigated: bagging and cross-validation committee...
Hua Wu, Haifeng Wang
IUCS
2009
ACM
194views Communications» more  IUCS 2009»
13 years 11 months ago
Automatic extraction of bilingual terms from a Chinese-Japanese parallel corpus
This paper proposes a new approach for the automatic extraction of bilingual terms from a domain-specific bilingual parallel corpus. We combine existing monolingual term extractor...
Xiaorong Fan, Nobuyuki Shimizu, Hiroshi Nakagawa