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» Domain Adaptation of Maximum Entropy Language Models
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ACL
2010
13 years 2 months ago
Domain Adaptation of Maximum Entropy Language Models
We investigate a recently proposed Bayesian adaptation method for building style-adapted maximum entropy language models for speech recognition, given a large corpus of written la...
Tanel Alumäe, Mikko Kurimo
NLPRS
2001
Springer
13 years 9 months ago
Statistical Parsing of Dutch using Maximum Entropy Models with Feature Merging
In this project report we describe work in statistical parsing using the maximum entropy technique and the Alpino language analysis system for Dutch. A major difficulty in this d...
Tony Mullen, Rob Malouf, Gertjan van Noord
IJCNLP
2005
Springer
13 years 10 months ago
An Empirical Study on Language Model Adaptation Using a Metric of Domain Similarity
Abstract. This paper presents an empirical study on four techniques of language model adaptation, including a maximum a posteriori (MAP) method and three discriminative training mo...
Wei Yuan, Jianfeng Gao, Hisami Suzuki
ANLP
1997
116views more  ANLP 1997»
13 years 6 months ago
A Maximum Entropy Approach to Identifying Sentence Boundaries
We present a trainable model for identifying sentence boundaries in raw text. Given a corpus annotated with sentence boundaries, our model learns to classify each occurrence of., ...
Jeffrey C. Reynar, Adwait Ratnaparkhi
JAIR
2006
110views more  JAIR 2006»
13 years 4 months ago
Domain Adaptation for Statistical Classifiers
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Hal Daumé III, Daniel Marcu