Tools and methods for computational lexicology
Computational Linguistics - Special issue of the lexicon
PRONOUNCE (abstract): a program for pronunciation by analogy
CSC '86 Proceedings of the 1986 ACM fourteenth annual conference on Computer science
A multistrategy approach to improving pronunciation by analogy
Computational Linguistics
A multi-purpose interface to an on-line dictionary
EACL '87 Proceedings of the third conference on European chapter of the Association for Computational Linguistics
"Poetic" statistical machine translation: rhyme and meter
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Unsupervised discovery of rhyme schemes
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
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Humans know a great deal about relationships among words. This paper discusses relationships among word pronunciations. We describe a computer system which models human judgement of rhyme by assigning specific roles to the location of primary stress, the similarity of phonetic segments, and other factors. By using the model as an experimental tool, we expect to improve our understanding of rhyme. A related computer model will attempt to generate pronunciations for unknown words by analogy with those for known words. The analogical processes involve techniques for segmenting and matching word spellings, and for mapping spelling to sound in known words. As in the case of rhyme, the computer model will be an important tool for improving our understanding of these processes. Both models serve as the basis for functions in the WordSmith automated dictionary system.