9 citations · 23 across the 11 of their papers we have counts for
11 papers
G^2C-MT: Graph-Guided Context Selection for Document-Level Machine Translation
Baijun Ji, Zixuan Zhou, Xiangyu Duan +4
Effective document-level machine translation (DocMT) requires capturing long-range discourse dependencies. Recent work has explored retrieval-based and discourse-aware context sele…
Basic Reading Distillation
Zhi Zhou, Sirui Miao, Xiangyu Duan +2
Large language models (LLMs) have demonstrated remarkable abilities in various natural language processing areas, but they demand high computation resources which limits their depl…
Disambiguated Lexically Constrained Neural Machine Translation
Jinpeng Zhang, Nini Xiao, Ke Wang +4
Lexically constrained neural machine translation (LCNMT), which controls the translation generation with pre-specified constraints, is important in many practical applications. Cur…
TSMind: Alibaba and Soochow University's Submission to the WMT22 Translation Suggestion Task
Xin Ge, Ke Wang, Jiayi Wang +4
This paper describes the joint submission of Alibaba and Soochow University, TSMind, to the WMT 2022 Shared Task on Translation Suggestion (TS). We participate in the English-Germa…
Third-Party Aligner for Neural Word Alignments
Jinpeng Zhang, Chuanqi Dong, Xiangyu Duan +2
Word alignment is to find translationally equivalent words between source and target sentences. Previous work has demonstrated that self-training can achieve competitive word align…
Combining Static Word Embeddings and Contextual Representations for Bilingual Lexicon Induction
Jinpeng Zhang, Baijun Ji, Nini Xiao +4
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…
Bilingual Terminology Extraction from Comparable E-Commerce Corpora
Hao Jia, Shuqin Gu, Yuqi Zhang +1
Bilingual terminologies are important machine translation resources in the field of e-commerce, which are usually either manually translated or automatically extracted from paralle…
Token Drop mechanism for Neural Machine Translation
Huaao Zhang, Shigui Qiu, Xiangyu Duan +1
Neural machine translation with millions of parameters is vulnerable to unfamiliar inputs. We propose Token Drop to improve generalization and avoid overfitting for the NMT model.…
Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences
Xiangyu Duan, Baijun Ji, Hao Jia +5
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. Motivated by the abi…
Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation
Baijun Ji, Zhirui Zhang, Xiangyu Duan +3
Transfer learning between different language pairs has shown its effectiveness for Neural Machine Translation (NMT) in low-resource scenario. However, existing transfer methods inv…
Contrastive Attention Mechanism for Abstractive Sentence Summarization
Xiangyu Duan, Hoongfei Yu, Mingming Yin +3
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 g…