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20172022
most citedCompressing Recurrent Neural Network with Tensor Train

111 citations · 237 across the 25 of their papers we have counts for

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34 papers · 1 filter

cs.CL20213 cited

Simultaneous Neural Machine Translation with Constituent Label Prediction

Yasumasa Kano, Katsuhito Sudoh, Satoshi Nakamura

Simultaneous translation is a task in which translation begins before the speaker has finished speaking, so it is important to decide when to start the translation process. However…

cs.CL20213 cited

Using Perturbed Length-aware Positional Encoding for Non-autoregressive Neural Machine Translation

Yui Oka, Katsuhito Sudoh, Satoshi Nakamura

Non-autoregressive neural machine translation (NAT) usually employs sequence-level knowledge distillation using autoregressive neural machine translation (AT) as its teacher model.…

cs.CL2021

ARTA: Collection and Classification of Ambiguous Requests and Thoughtful Actions

Shohei Tanaka, Koichiro Yoshino, Katsuhito Sudoh +1

Human-assisting systems such as dialogue systems must take thoughtful, appropriate actions not only for clear and unambiguous user requests, but also for ambiguous user requests, e…

cs.CL20209 cited

Simultaneous Speech-to-Speech Translation System with Neural Incremental ASR, MT, and TTS

Katsuhito Sudoh, Takatomo Kano, Sashi Novitasari +3

This paper presents a newly developed, simultaneous neural speech-to-speech translation system and its evaluation. The system consists of three fully-incremental neural processing…

cs.CL202011 cited

Cross-Lingual Machine Speech Chain for Javanese, Sundanese, Balinese, and Bataks Speech Recognition and Synthesis

Sashi Novitasari, Andros Tjandra, Sakriani Sakti +1

Even though over seven hundred ethnic languages are spoken in Indonesia, the available technology remains limited that could support communication within indigenous communities as…

cs.CL2020

Sequence-to-Sequence Learning via Attention Transfer for Incremental Speech Recognition

Sashi Novitasari, Andros Tjandra, Sakriani Sakti +1

Attention-based sequence-to-sequence automatic speech recognition (ASR) requires a significant delay to recognize long utterances because the output is generated after receiving en…