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Junki Matsuo

1 paper hereh-index 26 citations7 works total

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  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • cs.CL1

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most citedWord-Alignment-Based Segment-Level Machine Translation Evaluation using Word Embeddings

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2017★ 3 cited

Word-Alignment-Based Segment-Level Machine Translation Evaluation using Word Embeddings

Junki Matsuo, Mamoru Komachi, Katsuhito Sudoh

One of the most important problems in machine translation (MT) evaluation is to evaluate the similarity between translation hypotheses with different surface forms from the referen…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.