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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
    14 years 11 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
    14 years 11 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
    14 years 11 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
    14 years 11 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
    14 years 11 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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