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AUSAI
2003
Springer
15 years 5 months ago
Token Identification Using HMM and PPM Models
Hidden markov models (HMMs) and prediction by partial matching models (PPM) have been successfully used in language processing tasks including learning-based token identification. ...
Yingying Wen, Ian H. Witten, Dianhui Wang
CVPR
2008
IEEE
16 years 4 months ago
Selective hidden random fields: Exploiting domain-specific saliency for event classification
Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
Vidit Jain, Amit Singhal, Jiebo Luo
ACL
2011
14 years 5 months ago
Gappy Phrasal Alignment By Agreement
We propose a principled and efficient phraseto-phrase alignment model, useful in machine translation as well as other related natural language processing problems. In a hidden se...
Mohit Bansal, Chris Quirk, Robert C. Moore
EMNLP
2009
15 years 14 hour ago
Sinuhe - Statistical Machine Translation using a Globally Trained Conditional Exponential Family Translation Model
We present a new phrase-based conditional exponential family translation model for statistical machine translation. The model operates on a feature representation in which sentenc...
Matti Kääriäinen
ICASSP
2010
IEEE
15 years 2 months ago
Framework for cross-language automatic phonetic segmentation
Annotation of large multilingual corpora remains a challenge to the data-driven approach to speech research, especially for under-resourced languages. This paper presents crosslan...
Udochukwu Kalu Ogbureke, Julie Carson-Berndsen