Abstract
In this work we present a rule-based system for recognizing and normalizing temporal expressions in Indonesian documents. We adapt an existing temporal expression normalizer for English, TimeNorm, for Indonesian language. We then build a finite state transducer based on the crafted TimeNorm grammar for Indonesian, to recognize temporal expressions in texts. The system yields good results of 92.87 % F1-score and 85.26 % F1-score for recognizing and normalizing temporal expressions respectively.
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Mirza, P. (2016). Recognizing and Normalizing Temporal Expressions in Indonesian Texts. In: Hasida, K., Purwarianti, A. (eds) Computational Linguistics. PACLING 2015. Communications in Computer and Information Science, vol 593. Springer, Singapore. https://doi.org/10.1007/978-981-10-0515-2_10
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DOI: https://doi.org/10.1007/978-981-10-0515-2_10
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