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» Improving Language Models by Clustering Training Sentences
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PROPOR
2010
Springer
278views Languages» more  PROPOR 2010»
14 years 2 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
EMNLP
2007
13 years 9 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»
13 years 8 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...
ISMIR
2005
Springer
206views Music» more  ISMIR 2005»
14 years 1 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
13 years 9 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