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» A Hybrid Approach to Adaptive Statistical Language Modeling
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NAACL
1994
13 years 6 months ago
A Hybrid Approach to Adaptive Statistical Language Modeling
We desert'be our latest attempt at adaptive language modeling. At the heart of our approachis a Maximum Entropy(ME) modelwhich inc.orlxnatesmanyknowledgesources in a consiste...
Ronald Rosenfeld
KAIS
2006
121views more  KAIS 2006»
13 years 4 months ago
TEG-a hybrid approach to information extraction
Abstract This paper describes a hybrid statistical and knowledge-based inforQ1 mation extraction model, able to extract entities and relations at the sentence level. The model atte...
Ronen Feldman, Binyamin Rosenfeld, Moshe Fresko
CLEF
2004
Springer
13 years 8 months ago
UB at CLEF2004: Cross Language Information Retrieval Using Statistical Language Models
This paper presents the results of the State University of New York at Buffalo (UB) in the Mono-lingual and Multi-lingual tasks at CLEF 2004. For these tasks we used an approach ba...
Miguel E. Ruiz, Munirathnam Srikanth
ANLP
1997
98views more  ANLP 1997»
13 years 6 months ago
Developing a hybrid NP parser
We describe the use of energy function optimisation in very shallow syntactic parsing. The approach can use linguistic rules and corpus-based statistics, so the strengths of both ...
Atro Voutilainen, Lluís Padró
AMTA
2004
Springer
13 years 10 months ago
Multi-align: Combining Linguistic and Statistical Techniques to Improve Alignments for Adaptable MT
Abstract. An adaptable statistical or hybrid MT system relies heavily on the quality of word-level alignments of real-world data. Statistical alignment approaches provide a reasona...
Necip Fazil Ayan, Bonnie J. Dorr, Nizar Habash