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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AI | 2023-09-12 14:35 |
Hokkaido | Cooperative Agents for Federated Learning of Neural Machine Translation Kantaro Kitagawa (Ritsumeikan Univ), Zhang Yuwang, Yohei Murakami (Ritsumeikan Univ)  AI2023-28 |
Accurate neural machine translation requires large amounts of high-quality bilingual data, however due to the copyright ... [more] | AI2023-28 pp.161-166 |
|
| NLP, MSS | 2023-03-17 14:10 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Qualitative analyses of context vectors generated by Transformers in the neural machine translators Hiroki Azuma, Hideyuki Kato (Oita Univ) MSS2022-103 NLP2022-148 |
Neural machine translators have several types of models, one of which is a Google translator. The translator employs tra... [more] | MSS2022-103 NLP2022-148 pp.192-197 |
| SS | 2023-03-14 16:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Toward improving code execution speed using micro benchmark dataset Fuki Omori, Akinori Ihara, Kazuya Saiki (Wakayama Univ.), Yutaro Kashiwa (NAIST) SS2022-56 |
There are some implementation approach with same functionality, but their execution speeds are different. It is difficul... [more] | SS2022-56 pp.55-60 |
| SC | 2022-05-27 15:28 |
Online | Online | [Poster Presentation]
Improving the accuracy of machine translation of sentences including scientific terms Kaoru Kato, Paik Incheon (Aizu Univ.) SC2022-14 |
Machine translation has long been a subject of research as a method of translation. In the past, dictionary-based machin... [more] | SC2022-14 pp.83-87 |
| HCS | 2022-03-12 11:10 |
Online | Online | Dialogue Act Analysis of Facilitators in Children's Intercultural Collaboration Mizuki Motozawa, Yohei Murakami, Mondheera Pituxcoosuvarn (Ritsumeikan Univ.) HCS2021-72 |
Respect for cultural diversity is important in today's increasingly globalized world, and intercultural collaboration us... [more] | HCS2021-72 pp.67-73 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-02 15:35 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Epileptic Seizure Detection Using Active Learning with Riemannian Manifold Toshiki Orihara, Toshihisa Tanaka (TUAT) EA2021-96 SIP2021-123 SP2021-81 |
In order to realize machine learning for diagnosis, it is necessary to solve the problem that the training model is not ... [more] | EA2021-96 SIP2021-123 SP2021-81 pp.201-206 |
| SC | 2021-05-28 16:15 |
Online | Online | [Poster Presentation]
Improving Machine Translation using Sentence Augmentation by GPT-2 Ranto Sawai, Incheon Paik (UoA) SC2021-10 |
Data Augmentation has become an important method in deep learning in recent years. It is also a significant area in mach... [more] | SC2021-10 pp.50-55 |
| SC | 2021-03-19 13:00 |
Online | Online | Translation agent using congnitive services Yuki Matsuoka, Yohei Murakami (Ritsumeikan Univ.) SC2020-36 |
The development of machine translation has made it possible for people who can’t speak foreign languages to communicate ... [more] | SC2020-36 pp.19-24 |
| SS | 2021-03-03 15:00 |
Online | Online | Performance Evaluation of Automatic Bug Repair using Neural Machine Translation with Bug Fix Histories Gakuto Akiyama, Tsukasa Nakamura, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) SS2020-34 |
DeepFix is one of the automatic bug fixing tools. It repairs syntax errors by embedding errors into error-free programs... [more] |
SS2020-34 pp.37-42 |
| ICSS, IPSJ-SPT | 2021-03-02 13:40 |
Online | Online | Research on the vulnerability of homoglyph attacks to online machine translation system Takeshi Sakamoto, Tatsuya Mori (Waseda Univ) ICSS2020-50 |
It has been widely known that systems empowered by neural network algorithms are vulnerable against an intrinsic attack ... [more] | ICSS2020-50 pp.144-149 |
| TL | 2020-03-22 11:30 |
Osaka | Osaka Electro-Communication University (Cancelled but technical report was issued) |
[Invited Talk]
Artificial Intelligence and Machine Translation Hitoshi Isahara (TUT) TL2019-58 |
We will explain the current state of the artificial intelligence type translation system using actual translation exampl... [more] | TL2019-58 pp.19-20 |
| ICSS, IPSJ-SPT | 2020-03-02 13:50 |
Okinawa | Okinawa-Ken-Seinen-Kaikan (Cancelled but technical report was issued) |
Search for Similar Binary Code in Cross-Architecture Using Neural Machine Translation Model Moritoshi Aoyanagi, Hidenori Tsuji, Masaki Hashimoto (IISEC) ICSS2019-75 |
Binary code similarity comparison plays an important role in binary code analysis, vulnerability detection, and stolen c... [more] | ICSS2019-75 pp.43-48 |
| ICSS, IPSJ-SPT | 2020-03-03 11:20 |
Okinawa | Okinawa-Ken-Seinen-Kaikan (Cancelled but technical report was issued) |
Adversarial Attack against Neural Machine Translation Systems Takeshi Sakamoto, Tatsuya Mori (Waseda Univ.) ICSS2019-89 |
It has been widely known that systems empowered by neural network algorithms are vulnerable against an intrinsic attack ... [more] | ICSS2019-89 pp.125-130 |
| WIT, SP | 2019-10-26 13:30 |
Kagoshima | Daiichi Institute of Technology | Japanese to Japanese Sign Language(JSL)Machine Translation based on SyntacticTransfer Naoto Kato, Shuichi Umeda, Tsubasa Uchida (NHK) SP2019-17 WIT2019-16 |
Japanese Sign Language (JSL) is the first language for deaf people in Japan, especially those born deaf or who lost hear... [more] | SP2019-17 WIT2019-16 pp.1-6 |
| TL | 2019-03-18 11:45 |
Tokyo | Waseda University | Assessing Simultaneous Interpreting Difficulty of Speech Based on Evaluation of Interpreters`Translation Zhongxi Cai (Nagoya Univ.), Koichiro Ryu (TCC), Shigeki Matsubara (Nagoya Univ.) TL2018-57 |
In this paper, we describe a method to assess sentence simultaneous interpretation difficulty of sentences, using speech... [more] | TL2018-57 pp.37-41 |
| IT, ISEC, WBS | 2019-03-07 10:20 |
Tokyo | University of Electro-Communications | Coherence-based Spoken Machine Translation Recognition: Towards an Efficient Gateway to Detect Untrusted Information Nguyen Son Hoang Quoc, Tran Phuong Thao, Seira Hidano, Shinsaku Kiyomoto (KDDI Research) IT2018-77 ISEC2018-83 WBS2018-78 |
The machine-translated text is playing an important role in modern life which establishes wide communication among vario... [more] | IT2018-77 ISEC2018-83 WBS2018-78 pp.13-19 |
| NLC, IPSJ-ICS | 2018-07-06 18:00 |
Hokkaido | Hokkaido University | Automatic Evaluation Method for Machine Translation based on Cross-Lingual Similarity using Word Embeddings without Reference Translation Hiroki Fujikawa (Hokkaido Univ.), Hiroshi Echizenya (Hokkai-Gakuen Univ.), Kenji Araki (Hokkaido Univ.) NLC2018-5 |
We propose a new method for automatic evaluation method for machine translation without reference. Automatic evaluation ... [more] | NLC2018-5 pp.51-56 |
| AI | 2018-02-27 14:30 |
Osaka | Kindai University, Main Campus (Higashiosaka City) | Development of Multilingual Communication Sheet Creation System to Supply Answer Candidate Automatically Sho Matsumoto, Taku Fukushima (OIT), Aguri Shigeno (Center for Multicultural Society Kyoto) AI2017-38 |
Recently, globalization has helped in increasing communication among people with different native languages. From this b... [more] | AI2017-38 pp.19-24 |
| WIT | 2017-08-28 16:10 |
Akita | Faculty of Engineering Science, Akita Univ. | Improvement and Evaluation of a Machine Translation System from Japanese Texts to Sign Language CG Animations for Weather News Naoto Kato, Taro Miyazaki (NHK), Seiki Inoue (NHK-MT), Tsubasa Uchida, Makiko Azuma, Shuichi Umeda, Yuko Yamanouchi, Hideki Sumiyoshi (NHK), Nobuyuki Hiruma (NHK-ES), Yuji Nagashima (Kogakuin Univ.) WIT2017-19 |
We have been developing a machine translation system from Japanese texts to Japanese Sign Language (JSL) CG animations f... [more] | WIT2017-19 pp.27-32 |
| CPSY, DC, IPSJ-ARC (Joint) [detail] |
2017-07-28 17:30 |
Akita | Akita Atorion-Building (Akita) | Consideration on ARM Machine Code Frontend for LLVM-based Binary Code Optimization Kohta Shigenobu, Kanemitsu Ootsu, Takeshi Ohkawa, Takashi Yokota (Utsunomiya Univ.) CPSY2017-39 |
Recently, mobile devices and embedded devices equipped with processing devices such as multicore processor and GPU are b... [more] | CPSY2017-39 pp.229-234 |
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