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iSentenizer-μ: Multilingual Sentence Boundary Detection Model
Joint Authors
Wong, Derek F.
Chao, Lidia S.
Zeng, Xiaodong
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Sentence boundary detection (SBD) system is normally quite sensitive to genres of data that the system is trained on.
The genres of data are often referred to the shifts of text topics and new languages domains.
Although new detection models can be retrained for different languages or new text genres, previous model has to be thrown away and the creation process has to be restarted from scratch.
In this paper, we present a multilingual sentence boundary detection system (iSentenizer-μ) for Danish, German, English, Spanish, Dutch, French, Italian, Portuguese, Greek, Finnish, and Swedish languages.
The proposed system is able to detect the sentence boundaries of a mixture of different text genres and languages with high accuracy.
We employ i+Learning algorithm, an incremental tree learning architecture, for constructing the system.
iSentenizer-μ, under the incremental learning framework, is adaptable to text of different topics and Roman-alphabet languages, by merging new data into existing model to learn the new knowledge incrementally by revision instead of retraining.
The system has been extensively evaluated on different languages and text genres and has been compared against two state-of-the-art SBD systems, Punkt and MaxEnt.
The experimental results show that the proposed system outperforms the other systems on all datasets.
American Psychological Association (APA)
Wong, Derek F.& Chao, Lidia S.& Zeng, Xiaodong. 2014. iSentenizer-μ: Multilingual Sentence Boundary Detection Model. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1048698
Modern Language Association (MLA)
Wong, Derek F.…[et al.]. iSentenizer-μ: Multilingual Sentence Boundary Detection Model. The Scientific World Journal No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1048698
American Medical Association (AMA)
Wong, Derek F.& Chao, Lidia S.& Zeng, Xiaodong. iSentenizer-μ: Multilingual Sentence Boundary Detection Model. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1048698
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048698