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20172025
most citedChinese-Japanese Unsupervised Neural Machine Translation Using Sub-character Level Information

11 citations · 55 across the 21 of their papers we have counts for

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30 papers · 1 filter

cs.CL2025

Analyzing Continuous Semantic Shifts with Diachronic Word Similarity Matrices

Hajime Kiyama, Taichi Aida, Mamoru Komachi +3

The meanings and relationships of words shift over time. This phenomenon is referred to as semantic shift. Research focused on understanding how semantic shifts occur over multiple…

cs.CL2024

Revisiting Meta-evaluation for Grammatical Error Correction

Masamune Kobayashi, Masato Mita, Mamoru Komachi

Metrics are the foundation for automatic evaluation in grammatical error correction (GEC), with their evaluation of the metrics (meta-evaluation) relying on their correlation with…

cs.CL2022

Learning How to Translate North Korean through South Korean

Hwichan Kim, Sangwhan Moon, Naoaki Okazaki +1

South and North Korea both use the Korean language. However, Korean NLP research has focused on South Korean only, and existing NLP systems of the Korean language, such as neural m…

cs.CL20223 cited

Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction

Daisuke Suzuki, Yujin Takahashi, Ikumi Yamashita +5

In grammatical error correction (GEC), automatic evaluation is an important factor for research and development of GEC systems. Previous studies on automatic evaluation have demons…

cs.CL2022

Proficiency Matters Quality Estimation in Grammatical Error Correction

Yujin Takahashi, Masahiro Kaneko, Masato Mita +1

This study investigates how supervised quality estimation (QE) models of grammatical error correction (GEC) are affected by the learners' proficiency with the data. QE models for G…

cs.CL2021

Neural Combinatory Constituency Parsing

Zhousi Chen, Longtu Zhang, Aizhan Imankulova +1

We propose two fast neural combinatory models for constituency parsing: binary and multi-branching. Our models decompose the bottom-up parsing process into 1) classification of tag…