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Skip to Search Results- 28Psycholinguistics
- 14Linguistics
- 7Computational linguistics
- 4Natural language processing
- 4Phonetics
- 4Second language acquisition
- 1Alden, McKinley R.
- 1Bailer, Ashley D
- 1Barreda-Castanon, Santiago
- 1Bergsma, Shane A
- 1Bhargava, Aditya
- 1Chappell, Eric.
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Fall 2017
Cognates are words in related languages that have originated from the same word in an ancestor language, such as the English/German word pair father/Vater. Cognate information is critical in the field of historical linguistics, where it is used to determine the relationships between languages and...
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Fall 2011
Grapheme-to-phoneme conversion (G2P) and machine transliteration are important tasks in natural language processing. Supplemental data can often help resolve difficult ambiguities: existing transliterations of the same word can help choose among a G2P system’s candidate output transcriptions;...
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Spring 2010
While much research has been dedicated to studying the speech of French immersion students, relatively little is known about their sociolinguistic competence, particularly in the area of phonetics. This study aims to determine the extent to which a group of French immersion students in Ontario,...
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Fall 2013
The acoustic characteristics associated with a vowel category may vary greatly when produced by different speakers. Despite this variation, human listeners are typically able to identify vowel sounds with a good degree of accuracy. One approach to this issue is that listeners interpret vowel...
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Modelling phonetic reduction in a corpus of spoken English using Random Forests and Mixed-Effects Regression
DownloadFall 2013
In this thesis, phonetic reduction in the Buckeye Corpus (Pitt et al. 2005) of conversational speech is modelled using advanced statistical techniques. Two measures of phonetic reduction are modelled, reduction in the duration of words and deletion of segments from words. Statistical modelling...
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Fall 2010
Natural Language Processing (NLP) develops computational approaches to processing language data. Supervised machine learning has become the dominant methodology of modern NLP. The performance of a supervised NLP system crucially depends on the amount of data available for training. In the...