Marzena Karpinska
2018
Subcharacter Information in Japanese Embeddings: When Is It Worth It?
Marzena Karpinska
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Bofang Li
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Anna Rogers
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Aleksandr Drozd
Proceedings of the Workshop on the Relevance of Linguistic Structure in Neural Architectures for NLP
Languages with logographic writing systems present a difficulty for traditional character-level models. Leveraging the subcharacter information was recently shown to be beneficial for a number of intrinsic and extrinsic tasks in Chinese. We examine whether the same strategies could be applied for Japanese, and contribute a new analogy dataset for this language.