Projects
Project Spanish Federal Research Fund: "Emotion, memory, linguistic identity and emotional acculturation: influences on the learning of Spanish as a migrant language" KU Leuven
Within this project (funding by the Spanish Federal Research Fund (FFI2017-83166-C2-2-R; Ministerio de EconomÃa, Industria y Competitividad. Gobierno de España; PI: Susana MartÃn Leralta (Universidad Nebrija, Madrid), 27.467€) we investigate the possible impact of migration on language and emotions. Emotional experiences are closely related to the cultures to which we belong and the languages we speak. As a result of migrations, when people ...
Latent Variable Models for Language and Image Understanding in Social Media and E-Commerce Data KU Leuven
More content has been created in the past few years than in the entire history of humankind. With the exponential growth of user-contributed content, it becomes increasingly important to develop systems capable to intelligently process both language and images.
While understanding language appears effortless for humans from a young age, for computers, this is quite a challenging task. Inherently, languages are ambiguous and rich. Many ...
Profiles of university students with reading difficulties in the learning of Spanish as a foreign language Profielen van universiteitsstudenten met leesproblemen bij het leren van Spaans als vreemde taal KU Leuven
This research is confined to the analysis of the silent reading fluency and its role in the identification of reading profiles with difficulties among a population of adult and university learners who learn Spanish as a foreign language. The objective of this study is to understand how the development of the silent reading fluency —the main activity on expert readers— intervenes with reading comprehension and which is their causal ...
Collocations in a Flemish Learner Corpus: an approximation to the concept from a pedagogical perspective and its language teaching implications KU Leuven
Tracing the translation of news in community radio in South Africa: An actor-network approach KU Leuven
Tracing the translation of community radio news in South Africa: An actor-network approach
In South Africa, community radio is a powerful medium of communication for distributing news and information to particular radio audiences in specific languages. Radio is an interactive platform through which remote communities are able to communicate about issues that affect their daily lives. The community radio audience has the ...
Bridging the Image and Text Spaces with Neural Network Methods for Multimodal Representation Learning and Spatial Understanding KU Leuven
In the recent years, the emergence of deep learning models has greatly advanced computer vision and natural language processing (NLP). These models allow producing feature representations for images and words. For example, convolutional neural networks (CNN) and Mikolov’s et al. skip-gram model are popular means to extract such features from images and text corpora respectively. These representations are typically employed either in concept ...
Muddling through murky waters: the exploration of Brain Hemispheric Involvement in Idiom Comprehension Vrije Universiteit Brussel
clinical neurolinguistics, a field which endeavors to unravel how
language and speech are organized in our brain, and this specifically
through working with patients who have in one way or another lost the
capacity to use speech and language. In current project, we focus on the
organization of idioms, or figurative language, and more precisely ...
Higher Order Modelling for First Order Solvers KU Leuven
Many common computational problems can be posed as model expansion problems, where the task is to find a solution satisfying a set of constraints. Many different paradigms and approaches exist to solve these problems. Likewise, there are many languages to express these problems in. Some of these are standardized, such as Answer Set Programming (ASP) or Minizinc. For some languages there is only one system, like the FO(.) language. The ...
Deep Learning Models for Generating Text Summaries from Videos KU Leuven
In recent years, there has been a growing interest in bridging different modalities in the deep learning community. This project aims at developing deep learning models for automatically generating text summaries from videos. Through this project, we expect to find better ways to integrate textual and visual modalities into an end-to-end model. Apart from that, text summarization techniques, including abstractive text summarization and ...