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ACL
2007
13 years 9 months ago
Unsupervised Language Model Adaptation Incorporating Named Entity Information
Language model (LM) adaptation is important for both speech and language processing. It is often achieved by combining a generic LM with a topic-specific model that is more releva...
Feifan Liu, Yang Liu
LREC
2010
151views Education» more  LREC 2010»
13 years 9 months ago
FastKwic, an "Intelligent" Concordancer Using FASTR
In this paper, we introduce the FastKwic (Key Word In Context using FASTR), a new concordancer for French and English that does not require users to learn any particular request l...
Véronika Lux-Pogodalla, Dominique Besagni, ...
LREC
2008
83views Education» more  LREC 2008»
13 years 9 months ago
More Semantic Links in the SIMPLE-CLIPS Database
Notwithstanding its acknowledged richness, the SIMPLE semantic model does not offer the representational vocabulary for encoding some conceptual links holding between events and t...
Nilda Ruimy, Antonio Toral
COLING
2000
13 years 9 months ago
Statistical Morphological Disambiguation for Agglutinative Languages
We present statistical models for morphological disambiguation in agglutinative languages, with a specific application to Turkish. Turkish presents an interesting problem for stati...
Dilek Z. Hakkani-Tür, Kemal Oflazer, Gök...
NAACL
1994
13 years 9 months ago
A Report of Recent Progress in Transformation-Based Error-Driven Learning
Most recent research in trainable part of speech taggers has explored stochastic tagging. While these taggers obtain high accuracy, linguistic information is captured indirectly, ...
Eric Brill