Modularity in Inductively-Learned Word Pronunciation Systems

Keywords

Pronunciation, Computer science, Word (group theory), Natural language processing, Artificial intelligence

References

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Cited by

• Improving Pronunciation Accuracy of Proper Names with Language Origin ClassesAriadna Font Llitjós — 2001
• Letter-to-sound for small-footprint multilingual TTS engineGuilin Chen, Ke-Song Han — 2004
• A machine learning approach to Swedish word pronunciationHanna Lindgren, Jessica Granberg — 2000
• Letter to sound rules for accented lexicon compressionVincent Pagel, Kevin Lenzo, Alan W. Black — 1998
• Issues in building general letter to sound rulesAlan W. Black, Kevin Lenzo, Vincent Pagel — 1998
• Phonological Constraints and Morphological Preprocessing for Grapheme-to-Phoneme ConversionVera Demberg, Helmut Schmid, Gregor MohlerIBM — 2007
• Part-of-speech Tagging: A Machine Learning Approach based on Decision TreesLluı́s Màrquez — 1999
• Beyond the Pipeline: Discrete Optimization in NLPTomasz Marciniak, Michael Strube — 2005
• RECEPTORS AND SYLLABLE TRAJECTORIESBasilio Calderone, Bernard Laks, Atanas Tchobanov — 2011
• Letter-to-Phoneme Conversion for a German Text-to-Speech SystemVera Demberg — 2006
• Representational Bias in Unsupervised Learning of Syllable StructureSharon Goldwater, Mark Johnson — 2005
• Modeling Linguistic Phenomena in Gallo-Italic Dialects: The Linguistic Phenomena OntologyDomenico Cantone, Michele Cosentino, Vincenzo Nicol
• TO SOUND RULES FOR ACCENTED LEXICON COMPRESSIONVincent Pagel, Kevin A. Lenzo, Alan W. Black — 1998
• Machine Learning and Natural Language ProcessingL. Màrquez — 2000

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