Papers by Akira Utsumi

2 papers
Pipeline Signed Japanese Translation Focusing on a Post-positional Particle Complement and Conjugation in a Low-resource Setting (2021.findings-acl)

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Challenge: a pipeline translation method is proposed to take advantage of the similarities and differences between sign language and spoken language.
Approach: They propose a pipeline translation method that takes advantage of similarities between spoken and spoken Japanese . they map glosses to spoken language words and train them using a monolingual Japanese corpus .
Outcome: The proposed method performs robustly on the low-resource corpus and is +4.4/+4.9 points above baseline.
Refining Pretrained Word Embeddings Using Layer-wise Relevance Propagation (D18-1)

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Challenge: Recent research trend is to refine or fine-tune pretrained word embeddings.
Approach: They propose a method for refining pretrained word embeddings using layer-wise relevance propagation using a neural network.
Outcome: The proposed method achieves higher performance than the original vectors.

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