Towards Computational Linguistics in Minangkabau Language: Studies on Sentiment Analysis and Machine Translation
September 19, 2020 ยท Declared Dead ยท ๐ Pacific Asia Conference on Language, Information and Computation
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Authors
Fajri Koto, Ikhwan Koto
arXiv ID
2009.09309
Category
cs.CL: Computation & Language
Citations
32
Venue
Pacific Asia Conference on Language, Information and Computation
Last Checked
4 months ago
Abstract
Although some linguists (Rusmali et al., 1985; Crouch, 2009) have fairly attempted to define the morphology and syntax of Minangkabau, information processing in this language is still absent due to the scarcity of the annotated resource. In this work, we release two Minangkabau corpora: sentiment analysis and machine translation that are harvested and constructed from Twitter and Wikipedia. We conduct the first computational linguistics in Minangkabau language employing classic machine learning and sequence-to-sequence models such as LSTM and Transformer. Our first experiments show that the classification performance over Minangkabau text significantly drops when tested with the model trained in Indonesian. Whereas, in the machine translation experiment, a simple word-to-word translation using a bilingual dictionary outperforms LSTM and Transformer model in terms of BLEU score.
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