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» Learning Probabilistic Models of Word Sense Disambiguation
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ACL
2010
14 years 8 months ago
Hindi-to-Urdu Machine Translation through Transliteration
We present a novel approach to integrate transliteration into Hindi-to-Urdu statistical machine translation. We propose two probabilistic models, based on conditional and joint pr...
Nadir Durrani, Hassan Sajjad, Alexander Fraser, He...
AAAI
1994
14 years 11 months ago
Lexical Acquisition in the Presence of Noise and Homonymy
This paper conjectures a computational account of how children might learn the meanings of words in their native language. First, a simplified version of the lexical acquisition t...
Jeffrey Mark Siskind
ICMCS
2007
IEEE
130views Multimedia» more  ICMCS 2007»
15 years 4 months ago
Word Topical Mixture Models for Extractive Spoken Document Summarization
This paper considers extractive summarization of Chinese spoken documents. In contrast to conventional approaches, we attempt to deal with the extractive summarization problem und...
Berlin Chen, Yi-Ting Chen
RAS
2010
216views more  RAS 2010»
14 years 8 months ago
A nonparametric learning approach to range sensing from omnidirectional vision
We present a novel approach to estimating depth from single omnidirectional camera images by learning the relationship between visual features and range measurements available dur...
Christian Plagemann, Cyrill Stachniss, Jürgen...
FLAIRS
2008
15 years 6 days ago
Learning a Probabilistic Model of Event Sequences from Internet Weblog Stories
One of the central problems in building broad-coverage story understanding systems is generating expectations about event sequences, i.e. predicting what happens next given some a...
Mehdi Manshadi, Reid Swanson, Andrew S. Gordon