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EMNLP
2007
13 years 10 months ago
Syntactic Re-Alignment Models for Machine Translation
We present a method for improving word alignment for statistical syntax-based machine translation that employs a syntactically informed alignment model closer to the translation m...
Jonathan May, Kevin Knight
CASCON
2003
103views Education» more  CASCON 2003»
13 years 10 months ago
Spatialized audioconferencing: what are the benefits?
Audioconference participants often have difficulty identifying the voices of other conferees, especially in ad hoc groups of unfamiliar members. Simultaneous presentation of multi...
Ryan Kilgore, Mark H. Chignell, Paul Smith
PICS
2001
13 years 10 months ago
Applying Mixed Adaptation to Various Chromatic Adaptation Transformation (CAT) Models
In 1998, a Technical Committee 8-04 was formed in CIE/Division 8, "to investigate the state of adaptation of the visual system when comparing soft-copy images on selfluminous...
Naoya Katoh, Kiyotaka Nakabayashi
NIPS
2003
13 years 10 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
ACL
1998
13 years 10 months ago
Machine Translation with a Stochastic Grammatical Channel
We introduce a stochastic grammatical channel model for machine translation, that synthesizes several desirable characteristics of both statistical and grammatical machine transla...
Dekai Wu, Hongsing Wong