IEICE TRANSACTIONS on Information
Syllable Alignment: A Novel Model for Phonetic String Search
Summary :
Phonetic string search of written text is an important topic in Information Retrieval. While most of the previous methods convert a string into intermediate codes with phonetic transformation rules, this paper proposes a novel algorithm to segment two phonetic strings into syllables and find the optimal pairing of the corresponding syllables to calculate their similarity score. The experiment shows that this method is very effective and flexible. It can be easily adapted to different datasets and achieves optimal performance on average.
- Publication
- IEICE TRANSACTIONS on Information Vol.E89-D No.1 pp.332-339
- Publication Date
- 2006/01/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1093/ietisy/e89-d.1.332
- Type of Manuscript
- PAPER
- Category
- Natural Language Processing
Authors
Keyword
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Ruibin GONG, Tony K.Y. CHAN, "Syllable Alignment: A Novel Model for Phonetic String Search" in IEICE TRANSACTIONS on Information,
vol. E89-D, no. 1, pp. 332-339, January 2006, doi: 10.1093/ietisy/e89-d.1.332.
Abstract: Phonetic string search of written text is an important topic in Information Retrieval. While most of the previous methods convert a string into intermediate codes with phonetic transformation rules, this paper proposes a novel algorithm to segment two phonetic strings into syllables and find the optimal pairing of the corresponding syllables to calculate their similarity score. The experiment shows that this method is very effective and flexible. It can be easily adapted to different datasets and achieves optimal performance on average.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e89-d.1.332/_p
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@ARTICLE{e89-d_1_332,
author={Ruibin GONG, Tony K.Y. CHAN, },
journal={IEICE TRANSACTIONS on Information},
title={Syllable Alignment: A Novel Model for Phonetic String Search},
year={2006},
volume={E89-D},
number={1},
pages={332-339},
abstract={Phonetic string search of written text is an important topic in Information Retrieval. While most of the previous methods convert a string into intermediate codes with phonetic transformation rules, this paper proposes a novel algorithm to segment two phonetic strings into syllables and find the optimal pairing of the corresponding syllables to calculate their similarity score. The experiment shows that this method is very effective and flexible. It can be easily adapted to different datasets and achieves optimal performance on average.},
keywords={},
doi={10.1093/ietisy/e89-d.1.332},
ISSN={1745-1361},
month={January},}
Copy
TY - JOUR
TI - Syllable Alignment: A Novel Model for Phonetic String Search
T2 - IEICE TRANSACTIONS on Information
SP - 332
EP - 339
AU - Ruibin GONG
AU - Tony K.Y. CHAN
PY - 2006
DO - 10.1093/ietisy/e89-d.1.332
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E89-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2006
AB - Phonetic string search of written text is an important topic in Information Retrieval. While most of the previous methods convert a string into intermediate codes with phonetic transformation rules, this paper proposes a novel algorithm to segment two phonetic strings into syllables and find the optimal pairing of the corresponding syllables to calculate their similarity score. The experiment shows that this method is very effective and flexible. It can be easily adapted to different datasets and achieves optimal performance on average.
ER -
English
