Search Results for author: Dongzhe Wang

Found 4 papers, 1 papers with code

Rakuten’s Participation in WAT 2022: Parallel Dataset Filtering by Leveraging Vocabulary Heterogeneity

no code implementations • WAT 2022 • Alberto Poncelas, Johanes Effendi, Ohnmar Htun, Sunil Yadav, Dongzhe Wang, Saurabh Jain

This paper introduces our neural machine translation system’s participation in the WAT 2022 shared translation task (team ID: sakura).

Machine Translation Translation

Paper
Add Code

Rakuten’s Participation in WAT 2021: Examining the Effectiveness of Pre-trained Models for Multilingual and Multimodal Machine Translation

no code implementations • ACL (WAT) 2021 • Raymond Hendy Susanto, Dongzhe Wang, Sunil Yadav, Mausam Jain, Ohnmar Htun

This paper introduces our neural machine translation systems’ participation in the WAT 2021 shared translation tasks (team ID: sakura).

Denoising Language Modelling +2

Paper
Add Code

Goku’s Participation in WAT 2020

no code implementations • AACL (WAT) 2020 • Dongzhe Wang, Ohnmar Htun

This paper introduces our neural machine translation systems’ participation in the WAT 2020 (team ID: goku20).

Machine Translation Sentence +1

Paper
Add Code

Exploring Question-Specific Rewards for Generating Deep Questions

1 code implementation • COLING 2020 • Yuxi Xie, Liangming Pan, Dongzhe Wang, Min-Yen Kan, Yansong Feng

Recent question generation (QG) approaches often utilize the sequence-to-sequence framework (Seq2Seq) to optimize the log-likelihood of ground-truth questions using teacher forcing.

Question Generation Question-Generation

Paper
Code

Cannot find the paper you are looking for? You can Submit a new open access paper.