39 citations · 70 across the 10 of their papers we have counts for
10 papers
One Adapter for All Programming Languages? Adapter Tuning for Code Search and Summarization
Deze Wang, Boxing Chen, Shanshan Li +4
As pre-trained models automate many code intelligence tasks, a widely used paradigm is to fine-tune a model on the task dataset for each programming language. A recent study report…
Translate the Beauty in Songs: Jointly Learning to Align Melody and Translate Lyrics
Chengxi Li, Kai Fan, Jiajun Bu +3
Song translation requires both translation of lyrics and alignment of music notes so that the resulting verse can be sung to the accompanying melody, which is a challenging problem…
Unifying Cross-lingual Summarization and Machine Translation with Compression Rate
Yu Bai, Heyan Huang, Kai Fan +5
Cross-Lingual Summarization (CLS) is a task that extracts important information from a source document and summarizes it into a summary in another language. It is a challenging tas…
Self-Paced Learning for Neural Machine Translation
Yu Wan, Baosong Yang, Derek F. Wong +4
Recent studies have proven that the training of neural machine translation (NMT) can be facilitated by mimicking the learning process of humans. Nevertheless, achievements of such…
Long-Short Term Masking Transformer: A Simple but Effective Baseline for Document-level Neural Machine Translation
Pei Zhang, Boxing Chen, Niyu Ge +1
Many document-level neural machine translation (NMT) systems have explored the utility of context-aware architecture, usually requiring an increasing number of parameters and compu…
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…