TY - GEN
T1 - Sentence Boundary Disambiguation for Indonesian Language
AU - Putra, Syopiansyah Jaya
AU - Gunawan, Muhamad Nur
AU - Khalil, Ismail
AU - Mantoro, Teddy
PY - 2017/12/4
Y1 - 2017/12/4
N2 - Sentence boundary detection is essential for natural language processing (NLP). Sentence boundary detection in the Indonesian language has lots of problems, which includes punctuation, abbreviation, and character in the bracket. The disambiguation should be detected as sentence boundary. Thus the sentence boundary system can divide the sentences accurately. This study presents the development of a training dataset for the existing model to optimize supervised sentence boundary detection for the Indonesian language. Indonesian Translation of the Quran (ITQ) data set was used in this study by using the supervised method. The following is the process briefly: create the training data, apply sentence detection to separate sentences on ITQ, and calculate precision, recall, and F-measure. The result is quite promising, it gives as follows: Precision of 91.7%, Recall 81.6%, and F-Measure 86.4 %, respectively.
AB - Sentence boundary detection is essential for natural language processing (NLP). Sentence boundary detection in the Indonesian language has lots of problems, which includes punctuation, abbreviation, and character in the bracket. The disambiguation should be detected as sentence boundary. Thus the sentence boundary system can divide the sentences accurately. This study presents the development of a training dataset for the existing model to optimize supervised sentence boundary detection for the Indonesian language. Indonesian Translation of the Quran (ITQ) data set was used in this study by using the supervised method. The following is the process briefly: create the training data, apply sentence detection to separate sentences on ITQ, and calculate precision, recall, and F-measure. The result is quite promising, it gives as follows: Precision of 91.7%, Recall 81.6%, and F-Measure 86.4 %, respectively.
UR - https://www.scopus.com/pages/publications/85044295366
U2 - 10.1145/3151759.3156474
DO - 10.1145/3151759.3156474
M3 - Conference proceedings
T3 - ACM International Conference Proceeding Series
SP - 587
EP - 590
BT - Proceedings of the 19th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2017)
A2 - Anderst-Kotsis, Gabriele
A2 - Steinbauer, Matthias
A2 - Khalil, Ismail
A2 - Indrawan-Santiago, Maria
A2 - Salvadori, Ivan Luiz
ER -