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COGSCI
2010
125views more  COGSCI 2010»
13 years 5 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
EELC
2006
126views Languages» more  EELC 2006»
13 years 8 months ago
Cross-Situational Learning: A Mathematical Approach
Abstract. We present a mathematical model of cross-situational learning, in which we quantify the learnability of words and vocabularies. We find that high levels of uncertainty ar...
Kenny Smith, Andrew D. M. Smith, Richard A. Blythe...
TCS
2008
13 years 4 months ago
Computation of distances for regular and context-free probabilistic languages
Several mathematical distances between probabilistic languages have been investigated in the literature, motivated by applications in language modeling, computational biology, syn...
Mark-Jan Nederhof, Giorgio Satta
ACIIDS
2010
IEEE
204views Database» more  ACIIDS 2010»
13 years 10 months ago
An Unsupervised Learning and Statistical Approach for Vietnamese Word Recognition and Segmentation
There are two main topics in this paper: (i) Vietnamese words are recognized and sentences are segmented into words by using probabilistic models; (ii) the optimum probabilistic mo...
Hieu Le Trung, Vu Le Anh, Kien Le Trung
ACL
2011
12 years 8 months ago
Learning Sub-Word Units for Open Vocabulary Speech Recognition
Large vocabulary speech recognition systems fail to recognize words beyond their vocabulary, many of which are information rich terms, like named entities or foreign words. Hybrid...
Carolina Parada, Mark Dredze, Abhinav Sethy, Ariya...