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» Acquisition of a Language Computational Model for NLP
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GRAMMARS
2002
119views more  GRAMMARS 2002»
13 years 7 months ago
Computational Complexity of Probabilistic Disambiguation
Recent models of natural language processing employ statistical reasoning for dealing with the ambiguity of formal grammars. In this approach, statistics, concerning the various li...
Khalil Sima'an
ATAL
2010
Springer
13 years 8 months ago
Developing high-level cognitive functions for service robots
The primary target of this work is human-robot collaboration, especially for service robots in complicated application scenarios. Three assumptions and four requirements are ident...
Xiaoping Chen, Jianmin Ji, Jiehui Jiang, Guoqiang ...
COGSCI
2010
125views more  COGSCI 2010»
13 years 7 months ago
A Probabilistic Computational Model of Cross-Situational Word Learning
Words are the essence of communication: they are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisiti...
Afsaneh Fazly, Afra Alishahi, Suzanne Stevenson
COLING
2002
13 years 7 months ago
Learning Chinese Bracketing Knowledge Based on a Bilingual Language Model
This paper proposes a new method for automatic acquisition of Chinese bracketing knowledge from English-Chinese sentencealigned bilingual corpora. Bilingual sentence pairs are fir...
Yajuan Lü, Sheng Li, Tiejun Zhao, Muyun Yang
ACL
2007
13 years 9 months ago
A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing
This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. Three of the five algorithms are well-known in the computational linguistics com...
Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina...