Recent work has demonstrated that increased training dataset diversity improves general
cross-domain knowledge and downstream generalization capability for large-scale …

We introduce Jais and Jais-chat, new state-of-the-art Arabic-centric foundation and
instruction-tuned open generative large language models (LLMs). The models are based on …

This datasheet describes the Pile, a 825 GiB dataset of human-authored text compiled by
EleutherAI for use in large-scale language modeling. The Pile is comprised of 22 different …

Much research in translation studies indicates that translated texts are ontologically different
from original non-translated ones. Translated texts, in any language, can be considered a …

While it is has often been observed that the product of translation is somehow different than
non-translated text, scholars have emphasized two distinct bases for such differences. Some …

With a strong focus on interdisciplinarity, the handbook surveys concepts and methods in
neighbouring disciplines that are concerned with cognition and how they relate to …

We investigate the differences between language models compiled from original target-
language texts and those compiled from texts manually translated to the target language …

We investigate the possibility of automatically detecting whether a piece of text is an original
or a translation. On a large parallel English-French corpus where reference information is …

Attempts to profile authors based on their characteristics, including native language, have
drawn attention in recent years, via several approaches using machine learning with simple …

We present a parallel corpus study on the expression of the temporal construction 'not…
until'in a sample of European languages. We use data from the Europarl corpus and create …