The rapid advancement of large language models (LLMs) has revolutionized...
As the size of deep learning models continues to grow, finding optimal m...
Large self-supervised pre-trained speech models have achieved remarkable...
As pre-trained models automate many code intelligence tasks, a widely us...
Song translation requires both translation of lyrics and alignment of mu...
Deep models are dominating the artificial intelligence (AI) industry sin...
A popular approach to streaming speech translation is to employ a single...
Self-supervised speech pre-training enables deep neural network models t...
End-to-End Speech Translation (E2E-ST) has received increasing attention...
Attribute-based Controlled Text Generation (CTG) refers to generating
se...
Attention mechanism has become the dominant module in natural language
p...
In this paper, we present our submission to Shared Metrics Task: RoBLEUR...
Translation quality evaluation plays a crucial role in machine translati...
k-Nearest-Neighbor Machine Translation (kNN-MT) has been recently propos...
Quality Estimation, as a crucial step of quality control for machine
tra...
End-to-end speech-to-text translation (E2E-ST) is becoming increasingly
...
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...
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...
As a crucial role in cross-language information retrieval (CLIR), query
...
Query translation (QT) is a key component in cross-lingual information
r...
While large scale pre-trained language models such as BERT have achieved...
Recent studies have proven that the training of neural machine translati...
In this paper, we focus on the domain-specific translation with low
reso...
Many document-level neural machine translation (NMT) systems have explor...
In this paper, we propose a new task of machine translation (MT), which ...
Multi-modal machine translation aims at translating the source sentence ...
Transfer learning between different language pairs has shown its
effecti...
The performances of automatic speech recognition (ASR) systems are usual...
Recent advances in sequence modeling have highlighted the strengths of t...