no code implementations • 27 May 2023 • Jinpeng Zhang, Nini Xiao, Ke Wang, Chuanqi Dong, Xiangyu Duan, Yuqi Zhang, Min Zhang
Lexically constrained neural machine translation (LCNMT), which controls the translation generation with pre-specified constraints, is important in many practical applications.
no code implementations • 16 Nov 2022 • Xin Ge, Ke Wang, Jiayi Wang, Nini Xiao, Xiangyu Duan, Yu Zhao, Yuqi Zhang
The leader board finally shows that our submissions are ranked first in three of four language directions in the Naive TS task of the WMT22 Translation Suggestion task.
1 code implementation • 8 Nov 2022 • Jinpeng Zhang, Chuanqi Dong, Xiangyu Duan, Yuqi Zhang, Min Zhang
Word alignment is to find translationally equivalent words between source and target sentences.
1 code implementation • Findings (ACL) 2021 • Jinpeng Zhang, Baijun Ji, Nini Xiao, Xiangyu Duan, Min Zhang, Yangbin Shi, Weihua Luo
Bilingual Lexicon Induction (BLI) aims to map words in one language to their translations in another, and is typically through learning linear projections to align monolingual word representation spaces.
no code implementations • 15 Apr 2021 • Hao Jia, Shuqin Gu, Yuqi Zhang, Xiangyu Duan
Bilingual terminologies are important machine translation resources in the field of e-commerce, which are usually either manually translated or automatically extracted from parallel data.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Yongchao Deng, Hongfei Yu, Heng Yu, Xiangyu Duan, Weihua Luo
Multi-Domain Neural Machine Translation (NMT) aims at building a single system that performs well on a range of target domains.
1 code implementation • COLING 2020 • Huaao Zhang, Shigui Qiu, Xiangyu Duan, Min Zhang
Neural machine translation with millions of parameters is vulnerable to unfamiliar inputs.
1 code implementation • ACL 2020 • Xiangyu Duan, Baijun Ji, Hao Jia, Min Tan, Min Zhang, Boxing Chen, Weihua Luo, Yue Zhang
In this paper, we propose a new task of machine translation (MT), which is based on no parallel sentences but can refer to a ground-truth bilingual dictionary.
no code implementations • 3 Dec 2019 • Baijun Ji, Zhirui Zhang, Xiangyu Duan, Min Zhang, Boxing Chen, Weihua Luo
However, existing transfer methods involving a common target language are far from success in the extreme scenario of zero-shot translation, due to the language space mismatch problem between transferor (the parent model) and transferee (the child model) on the source side.
1 code implementation • IJCNLP 2019 • Xiangyu Duan, Hoongfei Yu, Mingming Yin, Min Zhang, Weihua Luo, Yue Zhang
We propose a contrastive attention mechanism to extend the sequence-to-sequence framework for abstractive sentence summarization task, which aims to generate a brief summary of a given source sentence.
1 code implementation • ACL 2019 • Xiangyu Duan, Mingming Yin, Min Zhang, Boxing Chen, Weihua Luo
But there is no cross-lingual parallel corpus, whose source sentence language is different to the summary language, to directly train a cross-lingual ASSUM system.
no code implementations • WS 2018 • Nancy Chen, Xiangyu Duan, Min Zhang, Rafael E. Banchs, Haizhou Li
Transliteration is defined as phonetic translation of names across languages.
no code implementations • WS 2018 • Nancy Chen, Rafael E. Banchs, Min Zhang, Xiangyu Duan, Haizhou Li
This report presents the results from the Named Entity Transliteration Shared Task conducted as part of The Seventh Named Entities Workshop (NEWS 2018) held at ACL 2018 in Melbourne, Australia.