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1
Exploring issues in lexikal acquisition using Bayesian modeling
Börschinger, Benjamin [Verfasser]. - 2018
DNB Subject Category Language
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2
Exploring Issues in Lexical Acquisition Using Bayesian Modeling
Börschinger, Benjamin [Verfasser]; Frank, Anette [Akademischer Betreuer]. - Heidelberg : Universitätsbibliothek Heidelberg, 2018
DNB Subject Category Language
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3
Exploring Issues in Lexical Acquisition Using Bayesian Modeling ...
Börschinger, Benjamin. - : Heidelberg University Library, 2018
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4
Exploring Issues in Lexical Acquisition Using Bayesian Modeling
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5
A Computationally efficient algorithm for learning topical collocation models
Zhao, Zhendong; Du, Lan; Börschinger, Benjamin. - : Red Hook, New York : Association for Computational Linguistics, 2015
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6
Unsupervised word segmentation in context
Synnaeve, Gabriel; Dautriche, Isabelle; Börschinger, Benjamin; Johnson, Mark; Dupoux, Emmanuel. - : Dublin, Ireland : European Language Resources Association, 2014
Abstract: This paper extends existing word segmentation models to take non-linguistic context into account. It improves the token F-score of a top performing segmentation models by 2.5% on a 27k utterances dataset. We posit that word segmentation is easier in-context because the learner is not trying to access irrelevant lexical items. We use topics from a Latent Dirichlet Allocation model as a proxy for "activities" contexts, to label the Providence corpus. We present Adaptor Grammar models that use these context labels, and we study their performance with and without context annotations at test time. ; 9 page(s)
URL: http://hdl.handle.net/1959.14/336964
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7
Exploring the role of stress in Bayesian word segmentation using adaptor grammars
Börschinger, Benjamin; Johnson, Mark. - : Association for Computational Linguistics, 2014
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8
Whyisenglishsoeasytosegment? ; Why is English so easy to segment?
Fourtassi, Abdellah; Börschinger, Benjamin; Johnson, Mark. - : Stroudsburg, PA : Association for Computational Linguistics, 2013
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9
A Joint model of word segmentation and phonological variation for English word-final t-deletion
Börschinger, Benjamin; Johnson, Mark; Demuth, Katherine. - : Stroudsburg, PA : Association for Computational Linguistics, 2013
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10
Complex Predicates in Arrernte
Dras, Mark; Lareau, François; Börschinger, Benjamin. - : Proceedings of the LFG12 Conference, 2012
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11
Complex predicates in Arrernte
Dras, Mark; Lareau, François; Börschinger, Benjamin. - : Stanford, CA : CSLI Publications, 2012
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12
Implementing lexical functions in XLE
Lareau, François; Dras, Mark; Börschinger, Benjamin. - : Stanford, CA : CSLI Publications, 2012
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13
Studying the effect of input size for Bayesian word segmentation on the providence corpus
Börschinger, Benjamin; Demuth, Katherine; Johnson, Mark. - : Mumbai, India : The COLING 2012 Organizing Committee, 2012
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14
Using rejuvenation to improve particle filtering for Bayesian word segmentation
Börschinger, Benjamin; Johnson, Mark. - : Stroudsburg, PA : Association for Computational Linguistics, 2012
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15
Complex Predicates in Arrernte ...
Dras, Mark; Lareau, François; Börschinger, Benjamin. - : Columbia University, 2012
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16
Implementing lexical funcitons in XLE ...
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17
WikiNet: A very large scale multi-lingual concept network
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