A Bag of Useful Tricks for Practical Neural Machine Translation: Embedding Layer Initialization and Large Batch Size. - Masato Neishi; Jin Sakuma; Satoshi Tohda; Shonosuke Ishiwatari; Naoki Yoshinaga 001; Masashi Toyoda (WAT@IJCNLP, 2017)

Multilingual Model Using Cross-Task Embedding Projection. - Jin Sakuma; Naoki Yoshinaga 001 (CoNLL, 2019)

Vocabulary Adaptation for Domain Adaptation in Neural Machine Translation. - Shoetsu Sato; Jin Sakuma; Naoki Yoshinaga 001; Masashi Toyoda; Masaru Kitsuregawa (EMNLP (Findings), 2020)

Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia. - Ikuya Yamada; Akari Asai; Jin Sakuma; Hiroyuki Shindo; Hideaki Takeda 001; Yoshiyasu Takefuji; Yuji Matsumoto 001 (EMNLP (Demos), 2020)

Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation. - Shoetsu Sato; Jin Sakuma; Naoki Yoshinaga 001; Masashi Toyoda; Masaru Kitsuregawa (CoRR, 2020)

Timing Generating Networks: Neural Network Based Precise Turn-Taking Timing Prediction in Multiparty Conversation. - Shinya Fujie; Hayato Katayama; Jin Sakuma; Tetsunori Kobayashi (Interspeech, 2021)

Response Timing Estimation for Spoken Dialog System using Dialog Act Estimation. - Jin Sakuma; Shinya Fujie; Tetsunori Kobayashi (INTERSPEECH, 2022)

Response Timing Estimation for Spoken Dialog Systems Based on Syntactic Completeness Prediction. - Jin Sakuma; Shinya Fujie; Tetsunori Kobayashi (SLT, 2022)

MLP-ASR: Sequence-length agnostic all-MLP architectures for speech recognition. - Jin Sakuma; Tatsuya Komatsu; Robin Scheibler (CoRR, 2022)

Conversation-Oriented ASR with Multi-Look-Ahead CBS Architecture. - Huaibo Zhao; Shinya Fujie; Tetsuji Ogawa; Jin Sakuma; Yusuke Kida; Tetsunori Kobayashi (ICASSP, 2023)

Improving the response timing estimation for spoken dialogue systems by reducing the effect of speech recognition delay. - Jin Sakuma; Shinya Fujie; Huaibo Zhao; Tetsunori Kobayashi (INTERSPEECH, 2023)