Abstract
Surprisingly, there was only a few research on Indonesian Natural Language Processing. There were two international projects on machine translation systems involving Bahasa Indonesia1 (MMTS and UNL projects). Although both projects did Indonesian morphological analysis also, only a part of prefix and suffix was taken into consideration since the number of affixes were too many to handle [1][2]. Chasen, a popular Japanese morphological analysis program uses connectivity costs to analysis japanese words and to solve ambiguous words[3][4].
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References
Agency for the Assessment and Application of Technology: Indonesian Enconverter System. BPPT, Jakarta (March 1999)
Center of the International Cooperation for Computerization: Indonesian Analysis Rules, Technical Report 6-CICC-MT44. CICC, Japan (March 1995)
Matsumoto, Y: Introduction to Computational Linguistics. Lecture notes. Nara Insitute of Science and Technology (2000)
Matsumoto, Y. et.al.: Morphological Analysis System Chasen version 2.2.6 Manual. Nara Institute of Science and Technology (2001)
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Uliniansyah, M.T., Ishizaki, S., Uchiyama, K. (2002). Indonesian Morphological Parser with Minimum Connectivity Cost to Solve Ambiguities. In: Ishizuka, M., Sattar, A. (eds) PRICAI 2002: Trends in Artificial Intelligence. PRICAI 2002. Lecture Notes in Computer Science(), vol 2417. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45683-X_76
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DOI: https://doi.org/10.1007/3-540-45683-X_76
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