Machine translation (MT) is an important task in natural language processing (NLP), as it
automates the translation process and reduces the reliance on human translators. With the …

Previous work on multimodal machine translation (MMT) has focused on the way of
incorporating vision features into translation but little attention is on the quality of vision …

This paper does not aim at introducing a novel model for document-level neural machine
translation. Instead, we head back to the original Transformer model and hope to answer the …

Writing a scientific article is a challenging task as it is a highly codified genre. Good writing
skills are essential to properly convey ideas and results of research work. Since the majority …

As a promising technology to enable effective multi-modal transmission over wireless
channels, semantic communication has attracted a lot of attention from academics and …

Automatic code summarization is beneficial to software development and maintenance
since it reduces the burden of manual tasks. Currently, artificial intelligence is undergoing a …

Developers write logging statements to generate logs that provide valuable runtime
information for debugging and maintenance of software systems. Log level is an important …

The textual descriptions in logging statements (ie, logging texts) are printed during system
executions and exposed to multiple stakeholders including developers, operators, users …

Context-aware neural machine translation (NMT), which targets at translating sentences with
contextual information, has attracted much attention recently. A key problem for context …

Developers insert logging statements in the source code to collect important runtime
information about software systems. The textual descriptions in logging statements (ie …