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CORR
2007
Springer
141views Education» more  CORR 2007»
14 years 9 months ago
Bootstrapping Deep Lexical Resources: Resources for Courses
We propose a range of deep lexical acquisition methods which make use of morphological, syntactic and ontological language resources to model word similarity and bootstrap from a ...
Timothy Baldwin
CAD
2011
Springer
14 years 4 months ago
Mesh repair with user-friendly topology control
Limitations of current 3D acquisition technology often lead to polygonal meshes exhibiting a number of geometrical and topological defects which prevent them from widespread use. ...
Franck Hétroy, Stéphanie Rey, Carlos...
LREC
2008
128views Education» more  LREC 2008»
14 years 11 months ago
Unsupervised Lexical Acquisition for Part of Speech Tagging
It is known that POS tagging is not very accurate for unknown words (words which the POS tagger has not seen in the training corpora). Thus, a first step to improve the tagging ac...
Dan Tufis, Elena Irimia, Radu Ion, Alexandru Ceaus...
INTERSPEECH
2010
14 years 4 months ago
Predicting word accuracy for the automatic speech recognition of non-native speech
We have developed an automated method that predicts the word accuracy of a speech recognition system for non-native speech, in the context of speaking proficiency scoring. A model...
Su-Youn Yoon, Lei Chen, Klaus Zechner
ICML
2010
IEEE
14 years 10 months ago
Climbing the Tower of Babel: Unsupervised Multilingual Learning
For centuries, scholars have explored the deep links among human languages. In this paper, we present a class of probabilistic models that use these links as a form of naturally o...
Benjamin Snyder, Regina Barzilay