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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Proceeding of the Electrical Engineering Computer Science and Informatics Annual Research Seminar Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Indonesian Journal of Electrical Engineering and Computer Science Jurnal Generic
Erwin, Erwin
Universitas Sriwijaya
Computer Science & IT Electrical & Electronics Engineering Engineering Other

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Journal : IAES International Journal of Artificial Intelligence (IJ-AI)

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An adaptable sentence segmentation based on Indonesian rules Johannes Petrus; Ermatita Ermatita; Sukemi Sukemi; Erwin Erwin
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v12.i3.pp1491-1499

Abstract

Sentence segmentation that breaks textual data strings into individual sentences is an important phase in natural language processing (NLP). Each word in the string that is added a punctuation mark such as a period, question mark, or exclamation point, becomes the location for splitting the string. Humans can easily see the punctuation and split the string into sentences, but not machines. Basically, the three punctuation marks also perform other functions so that the sentence segmentation process must really be able to detect whether a word marked with punctuation is a sentence boundary or not. This research proposes a sentence segmentation system called segmentasi kalimat bahasa Indonesia (SKBI) or Indonesian language sentence segmentation by applying a set of rules and can be used in Indonesian texts and can be adapted for English. There are 34 rules built with a combination of 27 fairly complete features that contribute to this research. The experimental results for the Indonesian text show that the SKBI is able to achieve an F1-Score of 96.89% and 97.07% for English. Both need to be improved but now better than previous research.
Co-Authors Abdiansah, Abdiansah Adi Muzakir Ahmad Affandi Ahmad Fali Oklilas Ahmad Heryanto Alya Nathasya Harison Ananda Pratiwi Anatasya Sembiring Andika Cristian Lubis Anita Desiani Auzan Lazuardi Clara Fin Badillah Dea Sella Noviyanti Deris Stiawan Desty Rodiah Dite Geovanni Dwi Sinta Ermatita Ermatita Fathoni - Ghiena Rifka Utami Indah Kurnia Larasati Johannes Petrus Junia Erlina Kms. M. Shofuan Khoiri Laras Azrisa Nurjanah M Ilham Al Bukhory M. Fachrurrozi . Muhammad Akmal Shidqi Muhammad Gibran Al-Filambany Muhammad Naufal Rachmatullah Noviara Sindi Pratiwi Puspa Sari Reny Pamela Sari Reza Firsandaya Malik Reza Reza Rossi Passarella Saparudin Saparudin Saparudin, Saparudin Sarmayanta Sembiring Sri Indra Maiyanti Sugandi Yahdin Sukemi Sukemi Sutarno Sutarno Syafitri Syafitri Tomi Kiyatmoko Wulandari Saputri Yeni Laraswati Yoga Yuniadi Yuli Andriani Yurika Yurika