In this paper, we present our submission to Shared Metrics Task: RoBLEUR...
Quality Estimation, as a crucial step of quality control for machine
tra...
Generative commonsense reasoning requires machines to generate sentences...
We study the problem of online learning with human feedback in the
human...
Recently, kNN-MT has shown the promising capability of directly
incorpor...
Zero-shot translation, directly translating between language pairs unsee...
In this paper, we propose to formulate the task-oriented dialogue system...
A good translation should not only translate the original content
semant...
A well-known limitation in pretrain-finetune paradigm lies in its
inflex...
Bilingual Lexicon Induction (BLI) aims to map words in one language to t...
Document-level MT models are still far from satisfactory. Existing work
...
kNN-MT, recently proposed by Khandelwal et al. (2020a), successfully com...
Adversarial attacks have shown the vulnerability of machine learning mod...
Bilingual terminologies are important resources for natural language
pro...
As a crucial role in cross-language information retrieval (CLIR), query
...
Query translation (QT) is a key component in cross-lingual information
r...
As a sequence-to-sequence generation task, neural machine translation (N...
In this paper, we focus on the domain-specific translation with low
reso...
Recent studies have demonstrated the overwhelming advantage of cross-lin...
In this paper, we propose a new task of machine translation (MT), which ...
Recent evidence reveals that Neural Machine Translation (NMT) models wit...
Compared with only using limited authentic parallel data as training cor...
Transformer, based on the encoder-decoder framework, has achieved
state-...
Pre-training and fine-tuning have achieved great success in the natural
...
Transfer learning between different language pairs has shown its
effecti...
We propose a contrastive attention mechanism to extend the
sequence-to-s...
Monolingual data has been demonstrated to be helpful in improving the
tr...
Leveraging user-provided translation to constrain NMT has practical
sign...
Neural machine translation (NMT) suffers a performance deficiency when a...
Sentences in a well-formed text are connected to each other via various ...