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    NAACL
    2007
    84views Computational Linguistics» more  NAACL 2007»
    Applying Many-to-Many Alignments and Hidden Markov Models to Letter-to-Phoneme Conversion
    13 years 8 months ago
    Applying Many-to-Many Alignments and Hidden Markov Models to Letter-to-Phoneme Conversion
    Download  acl.ldc.upenn.edu
    Letter-to-phoneme conversion generally requires aligned training data of letters and phonemes. Typically, the alignments are limited to one-to-one alignments. We present a novel t...
    Sittichai Jiampojamarn, Grzegorz Kondrak, Tarek Sh...
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    NAACL
    2007
    130views Computational Linguistics» more  NAACL 2007»
    Combining Lexical and Grammatical Features to Improve Readability Measures for First and Second Language Texts
    13 years 8 months ago
    Combining Lexical and Grammatical Features to Improve Readability Measures for First and Second Language Texts
    Download  reap.cs.cmu.edu
    This work evaluates a system that uses interpolated predictions of reading difficulty that are based on both vocabulary and grammatical features. The combined approach is compared...
    Michael Heilman, Kevyn Collins-Thompson, Jamie Cal...
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    NAACL
    2007
    142views Computational Linguistics» more  NAACL 2007»
    Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
    13 years 8 months ago
    Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
    Download  www.cs.utexas.edu
    We present a method for utilizing unannotated sentences to improve a semantic parser which maps natural language (NL) sentences into their formal meaning representations (MRs). Gi...
    Rohit J. Kate, Raymond J. Mooney
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    NAACL
    2007
    91views Computational Linguistics» more  NAACL 2007»
    Randomized Decoding for Selection-and-Ordering Problems
    13 years 8 months ago
    Randomized Decoding for Selection-and-Ordering Problems
    Download  people.csail.mit.edu
    The task of selecting and ordering information appears in multiple contexts in text generation and summarization. For instance, methods for title generation construct a headline b...
    Pawan Deshpande, Regina Barzilay, David R. Karger
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    NAACL
    2007
    112views Computational Linguistics» more  NAACL 2007»
    Analysis of Morph-Based Speech Recognition and the Modeling of Out-of-Vocabulary Words Across Languages
    13 years 8 months ago
    Analysis of Morph-Based Speech Recognition and the Modeling of Out-of-Vocabulary Words Across Languages
    Download  eprints.pascal-network.org
    We analyze subword-based language models (LMs) in large-vocabulary continuous speech recognition across four “morphologically rich” languages: Finnish, Estonian, Turkish, and ...
    Mathias Creutz, Teemu Hirsimäki, Mikko Kurimo...
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