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» Word Association and MI-TRigger-based Language Modeling
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CORR
1998
Springer
96views Education» more  CORR 1998»
13 years 6 months ago
Similarity-Based Models of Word Cooccurrence Probabilities
Abstract. In many applications of natural language processing (NLP) it is necessary to determine the likelihood of a given word combination. For example, a speech recognizer may ne...
Ido Dagan, Lillian Lee, Fernando C. N. Pereira
COGSCI
2010
125views more  COGSCI 2010»
13 years 6 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
EMNLP
2010
13 years 4 months ago
Cross Language Text Classification by Model Translation and Semi-Supervised Learning
In this paper, we introduce a method that automatically builds text classifiers in a new language by training on already labeled data in another language. Our method transfers the...
Lei Shi, Rada Mihalcea, Mingjun Tian
EMNLP
2010
13 years 4 months ago
Word-Based Dialect Identification with Georeferenced Rules
We present a novel approach for (written) dialect identification based on the discriminative potential of entire words. We generate Swiss German dialect words from a Standard Germ...
Yves Scherrer, Owen Rambow
IJDAR
2007
106views more  IJDAR 2007»
13 years 6 months ago
Investigation and modeling of the structure of texting language
Language usage over computer mediated discourses, like chats, emails and SMS texts, significantly differs from the standard form of the language. An urge towards shorter message l...
Monojit Choudhury, Rahul Saraf, Vijit Jain, Animes...