The COVID-19 crisis made the demand for remote interpreting, especially remote interpreting by videolink, particularly acute. This action research project, situated in the context of asylum and migration, investigates the ...read more
Despite the major advancements in the domain of sentiment analysis during the past few decades, automatically modelling implicit sentiment still remains a major hurdle in the field. While sentiment analysis ...read more
The goal of the LoCKe project is to analyze and compare methodologies for transferring supervision across languages, without (or with minimal) parallel data. The primary focus is on the tasks ...read more
Second language (L2) learners often resort to machine translation (MT) to help them during the writing process, which is why it is important to understand how L2 learners use MT ...read more
The GCND will be the first corpus of spoken Dutch dialects. It aims at making accessible a unique collection of dialect recordings from 768 places in Belgium, France and the south of the Netherlands, ...read more
The Spanish Corpus Annotation Project provides a platform that applies Natural Language Processing, Corpus analysis and Computer-Assisted Language Learning techniques an methodologies to Spanish.read more
This research project is situated in the field of NLP and focuses on automatic emotion detection in Dutch texts. Supervised machine learning techniques are currently considered as a state-of-the-art methodology ...read more
Shell nouns are a nominal category that has first been conceptualized by cognitive linguists such as Schmid (2000). This concept was later translated and further explored by French researchers (Legallois, 2006; ...read more
Research on dictionary use, which has grown in importance since the 1990s, is a type of dictionary research which aims to provide the foundation for the refinement of completed and ...read more
Recently, the manager of a Dutch publishing consortium manager stated that literary quality should be measured and predicted by means of algorithms and big data-based audience research, rather than by ...read more