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» Improving Language Models by Clustering Training Sentences
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EMNLP
2007
13 years 9 months ago
Probabilistic Models of Nonprojective Dependency Trees
A notable gap in research on statistical dependency parsing is a proper conditional probability distribution over nonprojective dependency trees for a given sentence. We exploit t...
David A. Smith, Noah A. Smith
ICDM
2006
IEEE
138views Data Mining» more  ICDM 2006»
14 years 1 months ago
Adding Semantics to Email Clustering
This paper presents a novel algorithm to cluster emails according to their contents and the sentence styles of their subject lines. In our algorithm, natural language processing t...
Hua Li, Dou Shen, Benyu Zhang, Zheng Chen, Qiang Y...
EUROGP
2004
Springer
108views Optimization» more  EUROGP 2004»
14 years 1 months ago
Genetic Programming for Natural Language Parsing
Parsing and Tagging are very important tasks in Natural Language Processing. Parsing amounts to searching the correct combination of grammatical rules among those compatible with a...
Lourdes Araujo
ICPR
2000
IEEE
14 years 8 days ago
Video-Based Continuous Sign Language Recognition Using Statistical Methods
This paper is concerned with a development of a videobased recognition system of continuous sign language. The system aimsfor an automatic signer dependent recognition of sign lan...
Britta Bauer, Hermann Hienz, Karl-Friedrich Kraiss
TALIP
2002
108views more  TALIP 2002»
13 years 7 months ago
Toward a unified approach to statistical language modeling for Chinese
This paper presents a unified approach to Chinese statistical language modeling (SLM). Applying SLM techniques like trigram language models to Chinese is challenging because (1) t...
Jianfeng Gao, Joshua Goodman, Mingjing Li, Kai-Fu ...