AI-based code generators have become pivotal in assisting developers in writing software
starting from natural language (NL). However, they are trained on large amounts of data …

Learning and identifying key concepts from past fault records are essential for us to
understand the causes of these faults, which lay the foundation for the fault diagnosis and …

AI-based code generators are an emerging solution for automatically writing programs
starting from descriptions in natural language, by using deep neural networks (Neural …

Evaluating the correctness of code generated by AI is a challenging open problem. In this
paper, we propose a fully automated method, named ACCA, to evaluate the correctness of …

Accurate translation of entities (eg, person names, organizations, geography) is important in
neural machine translation (briefly, NMT), as they are usually more difficult to translate than …

Context-aware neural machine translation involves leveraging information beyond sentence-
level context to resolve inter-sentential discourse dependencies and improve document …

It has been shown that machine translation models usually generate poor translations for
named entities that are infrequent in the training corpus. Earlier named entity translation …

While Neural Machine Translation (NMT) has achieved great progress in recent years, it still
suffers from inaccurate translation of entities (eg, person/organization name, location), due …

Machine translation–the automatic transformation of one natural language (source
language) into another (target language) through computational means–occupies a central …

Due to the advancement of technology, cybercrime has increased considerably, making
digital forensics essential for any organisation. One of the most critical challenges is to …