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» Improving Language Models by Clustering Training Sentences
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ANLP
1994
80views more  ANLP 1994»
13 years 6 months ago
Improving Language Models by Clustering Training Sentences
Many of the kinds of language model used in speech understanding suffer from imperfect modeling of intra-sentential contextual influences. I argue that this problem can be address...
David M. Carter
IAJIT
2011
12 years 11 months ago
Improving the accuracy of English-Arabic statistical sentence alignment
: Multilingual natural language processing systems are increasingly relying on parallel corpus to ameliorate their output. Parallel corpora constitute the basic block for training ...
Mohammad Salameh, Rached Zantout, Nashat Mansour
IEICET
2008
136views more  IEICET 2008»
13 years 4 months ago
Bilingual Cluster Based Models for Statistical Machine Translation
We propose a domain specific model for statistical machine translation. It is wellknown that domain specific language models perform well in automatic speech recognition. We show ...
Hirofumi Yamamoto, Eiichiro Sumita
COLING
2010
12 years 11 months ago
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...
NAACL
1994
13 years 6 months ago
Language Modeling with Sentence-Level Mixtures
Thispaperintroduces a simple mixtare languagemodelthat attempts to capture long distance conslraints in a sentence orparagraph. The model is an m-component mixture of Irigram mode...
Rukmini Iyer, Mari Ostendorf, Jan Robin Rohlicek