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» Tailoring Word Alignments to Syntactic Machine Translation
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EMNLP
2007
13 years 9 months ago
Phrase Reordering Model Integrating Syntactic Knowledge for SMT
Reordering model is important for the statistical machine translation (SMT). Current phrase-based SMT technologies are good at capturing local reordering but not global reordering...
Dongdong Zhang, Mu Li, Chi-Ho Li, Ming Zhou
COLING
2000
13 years 8 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
EMNLP
2009
13 years 5 months ago
Discriminative Corpus Weight Estimation for Machine Translation
Current statistical machine translation (SMT) systems are trained on sentencealigned and word-aligned parallel text collected from various sources. Translation model parameters ar...
Spyros Matsoukas, Antti-Veikko I. Rosti, Bing Zhan...
ACL
2007
13 years 9 months ago
Ordering Phrases with Function Words
This paper presents a Function Word centered, Syntax-based (FWS) solution to address phrase ordering in the context of statistical machine translation (SMT). Motivated by the obse...
Hendra Setiawan, Min-Yen Kan, Haizhou Li
INLG
2010
Springer
13 years 5 months ago
Paraphrase Generation as Monolingual Translation: Data and Evaluation
In this paper we investigate the automatic generation and evaluation of sentential paraphrases. We describe a method for generating sentential paraphrases by using a large aligned...
Sander Wubben, Antal van den Bosch, Emiel Krahmer