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Marchand, Yannick; Adsett, Connie R.; Damper, Robert I. – Language and Speech, 2009
Automatic syllabification of words is challenging, not least because the syllable is not easy to define precisely. Consequently, no accepted standard algorithm for automatic syllabification exists. There are two broad approaches: rule-based and data-driven. The rule-based method effectively embodies some theoretical position regarding the…
Descriptors: Syllables, Databases, English, Computational Linguistics
Edlund, Jens; Beskow, Jonas – Language and Speech, 2009
Evaluation of methods and techniques for conversational and multimodal spoken dialogue systems is complex, as is gathering data for the modeling and tuning of such techniques. This article describes MushyPeek, an experiment framework that allows us to manipulate the audiovisual behavior of interlocutors in a setting similar to face-to-face…
Descriptors: Interpersonal Communication, Internet, Computer Mediated Communication, Computer Simulation
Anderson, Jennifer L.; Morgan, James L.; White, Katherine S. – Language and Speech, 2003
Infants under six months are able to discriminate native and non-native consonant contrasts equally well, but as they learn the phonological systems of their native language, this ability declines. Current explanations of this phenomenon agree that the decline in discrimination ability is linked to the formation of native-language phonemic…
Descriptors: Control Groups, Phonology, Infants, Statistical Analysis