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ACL
2003
13 years 9 months ago
Unsupervised Learning of Arabic Stemming Using a Parallel Corpus
This paper presents an unsupervised learning approach to building a non-English (Arabic) stemmer. The stemming model is based on statistical machine translation and it uses an Eng...
Monica Rogati, J. Scott McCarley, Yiming Yang
COLING
2000
13 years 9 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
2004
13 years 9 months ago
Discriminative Reranking for Machine Translation
This paper describes the application of discriminative reranking techniques to the problem of machine translation. For each sentence in the source language, we obtain from a basel...
Libin Shen, Anoop Sarkar, Franz Josef Och
LREC
2010
181views Education» more  LREC 2010»
13 years 9 months ago
Linguistically Motivated Unsupervised Segmentation for Machine Translation
In this paper we use statistical machine translation and morphology information from two different morphological analyzers to try to improve translation quality by linguistically ...
Mark Fishel, Harri Kirik
ACL
2009
13 years 5 months ago
Sub-Sentence Division for Tree-Based Machine Translation
Tree-based statistical machine translation models have made significant progress in recent years, especially when replacing 1-best trees with packed forests. However, as the parsi...
Hao Xiong, Wenwen Xu, Haitao Mi, Yang Liu, Qun Liu