P10-3007 inventories were obtained by means of automatic syllabification of the spoken language data .
P08-1065 novel discriminative approach to automatic syllabification based on structured SVMs . In
E12-3004 construct finite state transducer for automatic syllabification of Myanmar words . If we choose
P08-1065 ification . This is the first time automatic syllabification has been shown to improve English
W14-0616 information gathered we have devised an automatic syllabification algorithm which has a 99 % accuracy
W14-0616 can be valuable for rule based automatic syllabification ( Clements , 1990 ) . Previous
E12-3004 . Our intended research is the automatic syllabification of Myanmar polysyllabic words
P10-3007 per se , a preliminary study on automatic syllabification of spoken word forms has been
P08-1065 bilingual parsing for SMT . <title> Automatic Syllabification with Structured SVMs </title>
N09-1035 one of the earliest systems on automatic syllabification : a neural network-based implementation
P15-1089 syllabification of non-standard words Automatic syllabification of non-standard words is a supervised
P10-3007 forms exists . The methods of automatic syllabification have been applied and tested
P10-3007 which are the most problematic for automatic syllabification . As an example , consider 2Note
C73-1014 automatic type - setting , without automatic syllabification words to be separated at line
C73-1014 syllable separation markers . 2 ) Automatic syllabification is necessary in automatic type
W14-0616 valuable in speech recognition and in automatic syllabification based on phonotactic rules (
C73-1014 be properly syllabified . 3 ) Automatic syllabification gives insight into the syllable
P15-1089 the standard dictionary . 4.4 Automatic syllabification of non-standard words Automatic
C88-1028 takes spelling strings as input . Automatic syllabification ( or hyphenation ) is a notorionsly
C73-1014 of the following reasons : 1 ) Automatic syllabification makes it possible to recognize
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