The Development of Indonesian POS Tagging System for Computer-aided Independent Language Learning ARTICLE
Muljono Muljono, Umriya Afini, Catur Supriyanto, Raden Nugroho, Dian Nuswantoro University
iJET Volume 12, Number 11, ISSN 1863-0383 Publisher: International Association of Online Engineering, Kassel, Germany
Word processing tool is a basic need in learning a language. One of the word processors needed by a language learner is part of speech (POS) tagging. While many POS Tagging tools for Indonesian language have been developed, no systems have been addressed specifically for language learners. This paper presents a study on an Indonesian part of speech (POS) tagging system developed as one of word processing tools for language learners. We use resources from previous Indonesian POS tagging research, such as MorphInd for the morphological analysis and IPOSTagger for part of speech tagging. Objective and subjective tests are employed to evaluate this system. In the objective test the part of speech tagging results use a system model developed from IPOSTagger in combination with MorphInd as the morphological analyzer, and compared with the results of part of speech tagging produced from the original IPOSTagger system model. The results show that the part of speech tagging accuracy using this system model is higher than other models. For its subjective evaluation, Mean Opinion Score (MOS) is used to the 24 participating respondents. The MOS results obtained reach 3,61 for test-1, 3,87 for test-2, and 3,72 for test-3. From the results, we expect that this POS tagging system could be used to help language learners in their Indonesian language self-learning process.
Muljono, M., Afini, U., Supriyanto, C. & Nugroho, R. (2017). The Development of Indonesian POS Tagging System for Computer-aided Independent Language Learning. International Journal of Emerging Technologies in Learning (iJET), 12(11), 138-150. Kassel, Germany: International Association of Online Engineering. Retrieved December 11, 2017 from https://www.learntechlib.org/p/181451/.
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