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SCoPE, Syllable Core and Periphery Evaluation: Automatic Syllabification and Application to Foreign Accent Identification
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In: DTIC (2000)
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Abstract:
In this paper we apply a study of the structure of the English language towards an automatic syllabification algorithm. Elements of syllable structure are defined according to both their position in the syllable and to the position of the syllable within word structure. Elements of syllable structure that only occur at morpheme boundaries or that extend for the duration of morphemes are identified as peripheral elements; those that can occur anywhere with regard to word morphology are identified as core elements. All languages potentially make a distinction be- tween core and peripheral elements of their syllable structure, however the specific forms these structures take will vary from language to language. In addition to problems posed by differences in phoneme inventories, we expect speakers with the greatest syllable structural differences between native and foreign language to have greatest difficulty with pronunciation in the foreign language. In this paper we will analyses two accents of Australian English: Arabic whose core/periphery structure is similar to English and Vietnamese, whose structure is maximally different to English. ; Presented at the Information Systems Technology Panel (IST) Tutorial and Workshop held in Leusden, The Netherlands, 13-14 September 1999. This article is from ADA387529 Multi-Lingual Interoperability in Speech Technology (l'Interoperabilite multilinguistique dans la technologie de la parole)
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Keyword:
*FOREIGN LANGUAGES; *PHONEMES; *SPEECH RECOGNITION; *SYLLABLES; AUSTRALIA; BOUNDARIES; COMPONENT REPORTS; CORES; ENGLISH LANGUAGE; INVENTORY; Linguistics; MORPHEMES; MORPHOLOGY; NATO FURNISHED; POSITION(LOCATION); SYMPOSIA; VIETNAM; Voice Communications; WORDS(LANGUAGE)
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URL: http://www.dtic.mil/docs/citations/ADP010397
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADP010397
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Automatic Language Identification with Sequences of Language-Independent Phoneme Clusters.
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In: DTIC AND NTIS (1996)
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