Communications of the ACM - Special issue on parallelism
From text to speech: the MITalk system
From text to speech: the MITalk system
Instance-Based Learning Algorithms
Machine Learning
Inside Case-Based Reasoning
Machine Learning
A probabilistic context-free grammar for disambiguation in morphological parsing
EACL '93 Proceedings of the sixth conference on European chapter of the Association for Computational Linguistics
GRAFON: a grapheme-to-phoneme conversion system for Dutch
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 1
Developing a nonsymbolic phonetic notation for speech synthesis
Computational Linguistics
IGTree: Using Trees for Compression and Classification in Lazy LearningAlgorithms
Artificial Intelligence Review - Special issue on lazy learning
A multistrategy approach to improving pronunciation by analogy
Computational Linguistics
A finite state and data-oriented method for grapheme to phoneme conversion
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
A probabilistic context-free grammar for disambiguation in morphological parsing
EACL '93 Proceedings of the sixth conference on European chapter of the Association for Computational Linguistics
Paradigmatic cascades: a linguistically sound model of pronunciation by analogy
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Re-engineering letter-to-sound rules
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Learning distributed linguistic classes
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
A hybrid approach to fuzzy name search incorporating language-based and text-based principles
Journal of Information Science
Modularity in inductively-learned word pronunciation systems
NeMLaP3/CoNLL '98 Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning
Improved morpho-phonological sequence processing with constraint satisfaction inference
SIGPHON '06 Proceedings of the Eighth Meeting of the ACL Special Interest Group on Computational Phonology and Morphology
Spoken Content Retrieval: A Survey of Techniques and Technologies
Foundations and Trends in Information Retrieval
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It is traditionally assumed that various sources of linguistic knowledge and their interaction should be formalised in order to be able to convert words into their phonemic representations with reasonable accuracy. We show that using supervised learning techniques, based on a corpus of transcribed words, the same and even better performance can be achieved, without explicit modeling of linguistic knowledge.In this paper we present two instances of this approach. A first model implements a variant of instance-based learning, in which a weighed similarity metric and a database of prototypical exemplars are used to predict new mappings. In the second model, grapheme-to-phoneme mappings are looked up in a compressed text-to-speech lexicon (table lookup) enriched with default mappings. We compare performance and accuracy of these approaches to a connectionist (backpropagation) approach and to the linguistic knowledge-based approach.