Sentence boundary detection in turkish

Authors:
B. Taner Dinçer;Bahar Karaoğlan
Affiliations:
Uluslararası Bilgisayar Enstitüsü, Ege Üniversitesi, Bornova, İzmir, Türkiye;Uluslararası Bilgisayar Enstitüsü, Ege Üniversitesi, Bornova, İzmir, Türkiye
Venue:
ADVIS'04 Proceedings of the Third international conference on Advances in Information Systems
Year:
2004

Citing 5
Cited 0

Adaptive multilingual sentence boundary disambiguation

Computational Linguistics
A maximum entropy approach to identifying sentence boundaries

ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Computational complexity in two-level morphology

ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
MITRE: description of the Alembic system used for MUC-6

MUC6 '95 Proceedings of the 6th conference on Message understanding
Some applications of tree-based modelling to speech and language

HLT '89 Proceedings of the workshop on Speech and Natural Language

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we describe a solution method for sentence boundary detection in Turkish. The method exploits simple heuristic knowledge of Turkish syllabication and its phonetic rules for disambiguation of dots. The test accuracy of the algorithm is measured as 96.02%. The main contribution of this study is considered as presenting a new lexicon free method for differentiating EOS (end of sentence) dots from the ones that are used for other purposes.