DocumentCode :
3109717
Title :
Fluency and L1 phonology interference on L2 English analysis OF Japanese AESOP corpus
Author :
Kondo, Makoto ; Tsubaki, Hiroe
Author_Institution :
SILS, Waseda Univ., Tokyo, Japan
fYear :
2012
fDate :
9-12 Dec. 2012
Firstpage :
123
Lastpage :
128
Abstract :
Fifty Japanese speakers´ read speech data of “the North Wind and the Sun” from the Japanese AESOP corpus was analyzed by automatic alignment using the HTK tool with a modified TIMIT dictionary. The results showed typical phonetic and phonological problems of English pronunciation by Japanese speakers which have been often discussed in EFL. The Japanese subjects´ English fluency was evaluated by 8 English teachers, 3 native English and 5 Japanese speaking teachers. Typical EFL pronunciation problems were found more among lower level speakers and become less problematic for fluent speakers. However, some problems were found persistently, even among fluent speakers. The results also suggest that the automatic alignment we have adopted for our corpus analysis provide acceptable data, and that it should be possible to adopt it to analyze L2 English with other L1 Asian languages.
Keywords :
hidden Markov models; natural language processing; personnel; speech processing; text analysis; EFL pronunciation problems; English fluency; English pronunciation; English teachers; HTK tool; Japanese AESOP corpus analysis; Japanese speaker read speech data; Japanese speaking teachers; L1 Asian languages; L2 English; automatic alignment; fluent speakers; hidden Markov model toolkit; modified TIMIT dictionary; phonetic problem; phonological problem; the North Wind and the Sun; Acoustics; Correlation coefficient; Dictionaries; Educational institutions; Production; Speech; Sun; AESOP; L1 Japanese; L2 English; automatic alignment; language fluency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Speech Database and Assessments (Oriental COCOSDA), 2012 International Conference on
Conference_Location :
Macau
Print_ISBN :
978-1-4673-2811-1
Electronic_ISBN :
978-1-4673-2812-8
Type :
conf
DOI :
10.1109/ICSDA.2012.6422478
Filename :
6422478
Link To Document :
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