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    ACL
    2010
    203views Computational Linguistics» more  ACL 2010»
    Active Learning-Based Elicitation for Semi-Supervised Word Alignment
    13 years 5 months ago
    Active Learning-Based Elicitation for Semi-Supervised Word Alignment
    Download  www.cs.cmu.edu
    Semi-supervised word alignment aims to improve the accuracy of automatic word alignment by incorporating full or partial manual alignments. Motivated by standard active learning q...
    Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell
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    ACL
    2010
    185views Computational Linguistics» more  ACL 2010»
    Beetle II: A System for Tutoring and Computational Linguistics Experimentation
    13 years 5 months ago
    Beetle II: A System for Tutoring and Computational Linguistics Experimentation
    Download  aclweb.org
    We present BEETLE II, a tutorial dialogue system designed to accept unrestricted language input and support experimentation with different tutorial planning and dialogue strategie...
    Myroslava Dzikovska, Johanna D. Moore, Natalie B. ...
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    ACL
    2010
    131views Computational Linguistics» more  ACL 2010»
    Grammar Prototyping and Testing with the LinGO Grammar Matrix Customization System
    13 years 5 months ago
    Grammar Prototyping and Testing with the LinGO Grammar Matrix Customization System
    Download  www.aclweb.org
    This demonstration presents the LinGO Grammar Matrix grammar customization system: a repository of distilled linguistic knowledge and a web-based service which elicits a typologic...
    Emily M. Bender, Scott Drellishak, Antske Fokkens,...
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    ACL
    2012
    158views Computational Linguistics» more  ACL 2012»
    A Statistical Model for Unsupervised and Semi-supervised Transliteration Mining
    11 years 10 months ago
    A Statistical Model for Unsupervised and Semi-supervised Transliteration Mining
    Download  www.ims.uni-stuttgart.de
    We propose a novel model to automatically extract transliteration pairs from parallel corpora. Our model is efficient, language pair independent and mines transliteration pairs i...
    Hassan Sajjad, Alexander Fraser, Helmut Schmid
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    ACL
    2012
    192views Computational Linguistics» more  ACL 2012»
    Text-level Discourse Parsing with Rich Linguistic Features
    11 years 10 months ago
    Text-level Discourse Parsing with Rich Linguistic Features
    Download  aclweb.org
    In this paper, we develop an RST-style textlevel discourse parser, based on the HILDA discourse parser (Hernault et al., 2010b). We significantly improve its tree-building step b...
    Vanessa Wei Feng, Graeme Hirst
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