This study applied systematic meta‐analytic procedures to summarize findings from
experimental and quasi‐experimental investigations into the effectiveness of using the tools …

Word sense disambiguation (WSD) is the ability to identify the meaning of words in context
in a computational manner. WSD is considered an AI-complete problem, that is, a task …

In this article, we introduce and discuss the pervasive issue of bias in the large language
models that are currently at the core of mainstream approaches to Natural Language …

Datasets that power machine learning are often used, shared, and reused with little visibility
into the processes of deliberation that led to their creation. As artificial intelligence systems …

Deep Learning and Big Data analytics are two focal points of data science. Deep Learning
models have achieved remarkable results in speech recognition and computer vision in …

As an interdisciplinary area of research, translation studies attracts students and scholars
with a wide range of backgrounds, who then need to face the challenge of accounting for a …

Metadata such as the hashtag is an important dimension of social media communication.
Despite its important role in practices such as curating, tagging, and searching content, there …

The history of linguistics is punctuated by sea changes of culture afforded by new
technologies of communication–first writing, then audio recording and most recently Web 1.0 …

Corpora are ubiquitous in linguistic research, yet to date, there has been no consensus on
how to conceptualize corpus representativeness and collect corpus samples. This …

Abstract The Leipzig Corpora Collection offers free online access to 136 monolingual
dictionaries enriched with statistical information. In this paper we describe current advances …