The field of machine translation (MT), the automatic translation of written text from one
natural language into another, has experienced a major paradigm shift in recent years …

We present a survey covering the state of the art in low-resource machine translation (MT)
research. There are currently around 7,000 languages spoken in the world and almost all …

The performance of Neural Machine Translation (NMT) systems often suffers in low-resource
scenarios where sufficiently large-scale parallel corpora cannot be obtained. Pre-trained …

It has been shown that the performance of neural machine translation (NMT) drops starkly in
low-resource conditions, underperforming phrase-based statistical machine translation …

This paper presents the results of the shared tasks from the 8th workshop on Asian
translation (WAT2021). For the WAT2021, 28 teams participated in the shared tasks and 24 …

The Transformer is a deep learning architecture that processes sequence data. The
Transformer attains the state-of-the-art in several tasks of sequence data analysis, and its …

Representation learning is the foundation of natural language processing (NLP). This work
presents new methods to employ visual information as assistant signals to general NLP …

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

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

Research on distributed word representations is focused on widely-used languages such as
English. Although the same methods can be used for other languages, language-specific …