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» Bayesian Word Alignment for Statistical Machine Translation
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ACL
2012
13 years 2 months ago
Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages
We propose several techniques for improving statistical machine translation between closely-related languages with scarce resources. We use character-level translation trained on ...
Preslav Nakov, Jörg Tiedemann
ACL
2007
15 years 1 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
LREC
2008
138views Education» more  LREC 2008»
15 years 1 months ago
MISTRAL: a Statistical Machine Translation Decoder for Speech Recognition Lattices
This paper presents MISTRAL, an open source statistical machine translation decoder dedicated to spoken language translation. While typical machine translation systems take a writ...
Alexandre Patry, Philippe Langlais
COLING
1996
15 years 1 months ago
Aligning More Words with High Precision for Small Bilingual Corpora
In this paper, we propose an algorithm for identifying each word with its translations in a sentence and translation pair. Previously proposed methods require enormous amounts of ...
Sur-Jin Ker, Jason J. S. Chang
AMTA
2004
Springer
15 years 5 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