Výsledky vyhledávání - "Seongjun Yang"

Development of Risk Reducing Algorithm for Personal Mobility Robots and its Practicality Evaluation at TSUKUBA Special District for Mobility Robots

Autor: Noboru Nagamine, Wataru Takayanagi, Masaharu Shimizu, Hirotoshi Ochiai, Takayuki Furuta, Seongjun Yang, Mitsuhiro Ando, Kodachi Takashi, Hideaki Yamato, Kengo Toda

Publikováno v: Journal of the Robotics Society of Japan. 32:651-662

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4d6de27d87265f1d40c07eba29b9609f
https://doi.org/10.7210/jrsj.32.651

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2A1-H02 Verification of safety and convenience for person carrier robot : Analysis of driving situations with daily life of users(Demonstration experiments of personal mobility robots in Mobility Robot Special Zone of Tsukuba-city)

Autor: Kengo Toda, Kato Yukihiro, Wataru Takayanagi, Hirotoshi Ochiai, Noboru Nagamine, Mitsuhiro Ando, Masaharu Shimizu, Seongjun Yang, Kodachi Takashi, Hideaki Yamato, Takayuki Furuta

Publikováno v: The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2014:2A1-H02_1

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::de30898f2677608b5f618fb8d941c7fe
https://doi.org/10.1299/jsmermd.2014._2a1-h02_1

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Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction

Autor: Seongjun Yang, Edward Choi, Gyubok Lee

Publikováno v: Web of Science
ACL/IJCNLP (2)

Accurate terminology translation is crucial for ensuring the practicality and reliability of neural machine translation (NMT) systems. To address this, lexically constrained NMT explores various methods to ensure pre-specified words and phrases appea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d025cd67367d7806ec951c5caf5cd29
https://publons.com/wos-op/publon/54293572/

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