Sentence boundary detection in Turkish
Articles > Article · 2004
Authors: Banu DİNÇER, BAHAR KARAOĞLAN
ADVANCES IN INFORMATION SYSTEMS, PROCEEDINGS, Journal Indexed in SCI, International, 2004, vol 3261, pp 255-262
DOI: 10.1007/978-3-540-30198-1_26
Summary
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.