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Hsu, Hsiu-ling – Language and Speech, 2011
This study aims to explore how the markedness effect shapes Mandarin slips of the tongue with respect to nasals in syllable-final positions. Data were collected via natural speech and elicitation tasks from 35 participants' reading of 346 test items. Three hundred and eight slips in Mandarin from natural data and 360 slips from elicited data were…
Descriptors: Mandarin Chinese, Articulation (Speech), Phonemes, Syllables
Syrika, Asimina; Nicolaidis, Katerina; Edwards, Jan; Beckman, Mary E. – Language and Speech, 2011
Previous work on children's acquisition of complex sequences points to a tendency for affricates to be acquired before clusters, but there is no clear evidence of a difference in order of acquisition between clusters with /s/ that violate the Sonority Sequencing Principle (SSP), such as /s/ followed by stop in onset position, and other clusters…
Descriptors: Greek, Language Acquisition, Young Children, Phonemes
Rose, Sharon; King, Lisa – Language and Speech, 2007
This article reports the results of speech error elicitation experiments investigating the role of two consonant co-occurrence restrictions in the productive grammar of speakers of two Ethiopian Semitic languages, Amharic and Chaha. Higher error rates were found with consonant combinations that violated co-occurrence constraints than with those…
Descriptors: Phonemes, Phonology, Native Speakers, Semitic Languages

Wilshire, Carolyn E. – Language and Speech, 1999
Two experiments explored the tongue-twister paradigm, which involves reciting a word string several times over at a fast rate, using a task variation that minimizes articulatory and mnemonic load. The task was found to elicit good rates of "pure" articulatory errors. Two features had a significant error-reducing effect: repeated…
Descriptors: Articulation (Speech), Encoding (Psychology), Error Analysis (Language), Error Patterns

Taylor, Paul; King, Simon; Isard, Stephen; Wright, Helen – Language and Speech, 1998
Describes how to use intonation and dialog context to improve the performance of an automatic speech-recognition system. Experiments utilized the DCIEM Maptask corpus, using a separate bigram language model for each type of move and showing that, with the correct move-specific language model for each utterance in the test set, the recognizer's…
Descriptors: Context Effect, Dialogs (Language), Error Analysis (Language), Error Patterns