Using an On-Line Dictionary to Find Rhyming Words and Pronunciations for Unknown Words

35966

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nan

Abstract

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. 1.

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USING AN ON=LINE DICTIONARY TO FIND RHYMING WORDS AND PRONUNCIATIONS FOR UNKNOWN WORDS Roy J Byrd I.B.M. Thomas J. Watson Research Center Yorktown Heights, New York 10598 Martin S. Chodorow Department of Psychology, Hunter College of CUNY and I.B.M. Thomas J. Watson Research Center Yorktown Heights, New York 10598 ABSTRACT 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. 1. Introduction This paper describes work undertaken in the develop= merit of WordSmith, an automated dictionary system being built by the Lexical Systems group at the IBM T. J. Watson Research Center. WordSmith allows the user to explore a multidimensional space of information about words. The system permits interaction with lexi- cal databases through a set of programs that carry out functions such as displaying formatted entries from a standard dictionary and generating pronunciations for a word not found in the dictionary. WordSmith also shows the user words that are "close" to a given word along dimensions such as spelling (as in published dic- tionaries), meaning (as in thesauruses), and sound (as in rhyming dictionaries). Figure I shows a sample of the WordSmith user inter- face. The current word, urgency, labels the text box at the center of the screen. The box contains the output of the PRONUNC application applied to the current word: it shows the pronunciation of urgency and the mapping between the word's spelling and pronunciation. PRONUNC represents pronunciations in an alphabet derived from Webster's Seventh Collegiate Dictionary. In the pronunciation shown "*" represents the vowel schwa, and ">" marks the vowel in the syllable bearing primary stress. Spelling-to-pronunciation mappings will be described in Section 3. Three dimensions, displaying words that are neighbors of urgency, pass through the text box. Dimension one, extending from uriede to urinomerric, contains words from the PRONUNC data base which are close to ur- gency in alphabetical order. The second dimension (from somebody to company) shows words which are likely to rhyme with urgency. Dimension three (from 9udency to pruriency) is based on a reverse alphabetical ordering of words, and displays words whose spellings end similarly to urgency. The RHYME and REVERSE dimensions are discussed below. 277 ureide uremia uremic ureter ureteral ureteric urethan urethane urethra urethrae urethral urethritis urethroscope urethroscopic urge somebody perfidy subsidy burgundy hypertrophy …

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Labeled Text

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. 1.

Publication Details

Paper ID:
35966
Year:
1985
Publication:
TIPSTER
Publication Type:
conf
DOI:
nan