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» Improving Language Models by Clustering Training Sentences
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112
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PROPOR
2010
Springer
278views Languages» more  PROPOR 2010»
15 years 5 months ago
Translating from Complex to Simplified Sentences
We address the problem of simplifying Portuguese texts at the sentence level treating it as a "translation task". We use the Statistical Machine Translation (SMT) framewo...
Lucia Specia
95
Voted
EMNLP
2007
14 years 11 months ago
Hierarchical System Combination for Machine Translation
Given multiple translations of the same source sentence, how to combine them to produce a translation that is better than any single system output? We propose a hierarchical syste...
Fei Huang, Kishore Papineni
CORR
2010
Springer
107views Education» more  CORR 2010»
14 years 10 months ago
Towards Effective Sentence Simplification for Automatic Processing of Biomedical Text
The complexity of sentences characteristic to biomedical articles poses a challenge to natural language parsers, which are typically trained on large-scale corpora of non-technica...
Siddhartha Jonnalagadda, Luis Tari, Jörg Hake...
82
Voted
ISMIR
2005
Springer
206views Music» more  ISMIR 2005»
15 years 3 months ago
Improving Content-Based Similarity Measures by Training a Collaborative Model
We observed that for multimedia data – especially music - collaborative similarity measures perform much better than similarity measures derived from content-based sound feature...
Richard Stenzel, Thomas Kamps
ACL
1998
14 years 11 months ago
A Stochastic Language Model using Dependency and Its Improvement by Word Clustering
In this paper, we present a stochastic language model for Japanese using dependency. The prediction unit in thismodel isallattributeof "bunsetsu". This isrepresented by ...
Shinsuke Mori, Makoto Nagao