Automatic evaluation metrics are indispensable for evaluating generated text. To date, these
metrics have focused almost exclusively on the content selection aspect of the system …

Large language models (LLMs) have achieved amazing successes. They have done well on
standardized tests in medicine and the law. That said, the bar has been raised so high that it …

Not all machine mistranslations are equal. For example, mistranslating a date or time in an
appointment, mistranslating the number or currency in a contract, or hallucinating profanity …

Difficulty (or called mental load, cognitive effort) has been an importance topic in translation
and interpreting process research. This article first clarifies conceptual issues and reviews …

Multilingualism presents both a challenge and an opportunity for Natural Language
Processing, with code-switching representing a particularly interesting problem for …

This dissertation investigates cross-generational linguistic differences in the Canberra
Vietnamese bilingual community, with a particular focus on Vietnamese as the heritage …

This paper presents an investigation into the differences between processing monolingual
input and code-switching (CSW) input in the context of machine translation (MT) …

While using machine-translated data for supervised training can alleviate data sparseness
problems when dealing with less-resourced languages, it is important that the source data …

O Processamento de Linguagem Natural (PLN) surgiu praticamente ao mesmo tempo que
os computadores, por volta da década de 1940, já que a tradução automática entre línguas …

In the context of an increasingly networked world, the availability of high quality translations
is critical for success in the context of the growing international competition. Large …