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ACL
2006
13 years 10 months ago
A Phrase-Based Statistical Model for SMS Text Normalization
Short Messaging Service (SMS) texts behave quite differently from normal written texts and have some very special phenomena. To translate SMS texts, traditional approaches model s...
AiTi Aw, Min Zhang, Juan Xiao, Jian Su
LREC
2008
155views Education» more  LREC 2008»
13 years 10 months ago
Using Reordering in Statistical Machine Translation based on Alignment Block Classification
Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between source and target language. These models are...
Marta R. Costa-Jussà, José A. R. Fon...
COLING
2010
13 years 3 months ago
Unsupervised cleansing of noisy text
In this paper we look at the problem of cleansing noisy text using a statistical machine translation model. Noisy text is produced in informal communications such as Short Message...
Danish Contractor, Tanveer A. Faruquie, L. Venkata...
ACL
2008
13 years 10 months ago
Enriching Morphologically Poor Languages for Statistical Machine Translation
We address the problem of translating from morphologically poor to morphologically rich languages by adding per-word linguistic information to the source language. We use the synt...
Eleftherios Avramidis, Philipp Koehn
ACL
2003
13 years 10 months ago
Minimum Error Rate Training in Statistical Machine Translation
Often, the training procedure for statistical machine translation models is based on maximum likelihood or related criteria. A general problem of this approach is that there is on...
Franz Josef Och