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» Maximum Entropy Model Learning of the Translation Rules
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COLING
2008
13 years 6 months ago
Improving Statistical Machine Translation using Lexicalized Rule Selection
This paper proposes a novel lexicalized approach for rule selection for syntax-based statistical machine translation (SMT). We build maximum entropy (MaxEnt) models which combine ...
Zhongjun He, Qun Liu, Shouxun Lin
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
NIPS
2008
13 years 6 months ago
Partially Observed Maximum Entropy Discrimination Markov Networks
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
Jun Zhu, Eric P. Xing, Bo Zhang
ACL
2000
13 years 6 months ago
A Maximum Entropy/Minimum Divergence Translation Model
I describe two methods for incorporating information about the relative positions of bilingual word pairs into a Maximum Entropy/Minimum Divergence translation model. The better o...
George F. Foster
NLPRS
2001
Springer
13 years 9 months ago
Named Entity Recognition using Machine Learning Methods and Pattern-Selection Rules
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
Choong-Nyoung Seon, Youngjoong Ko, Jeong-Seok Kim,...