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Language contact and linguistic reconstruction: (pre)historic Bantu-Khoisan interactions in Southern Africa in a historical linguistic perspective Ghent University

Koen Bostoen
Department of Languages and Cultures

The Southern African linguistic landscape is dominated by Bantu languages, which form Africa’s largest language family and are spoken by the vast majority of Southern Africans. Nonetheless, the first Bantu-speaking communities arrived in Southern Africa less than two thousand years ago, where they came into contact with and gradually replaced the languages of pre-existing hunter-gatherer and pastoralist communities, known as “Khoisan” ...

Project Research Fund Autonomous Community Madrid and European Social Fund: "The migrant population of the Autonomous Community of Madrid: linguistic, communicative, cultural and social factors of the integration process and linguistic intervention re KU Leuven

Kris Buyse
Leuven Language Institute (ILT)

Within this project (funding by the Research Fund of the Autonomous Commnity of Madrid (H2019/HUM-5772 INMIGRA3-CM; Comunidad de Madrid. Plan Regional de Investigación PROGRAMAS DE I+D EN CCSS Y HUMANIDADES cofinanciado con Fondo Social Europeo; PI: Susana Martín Leralta (Universidad Nebrija); budget: 17.681€) we investigate the impact of linguistic, communicative, cultural and social factors on migrant integration in Madrid and which ...

Contributions to formal and computational linguistics Abstract KU Leuven

Frank Van Eynde
Formal and Computational Linguistics (ComForT), Leuven

Syntax and semantics have always taken center stage in linguistics. The accumulated knowledge was stored and transmitted in the form of grammars, dictionaries and specialized publications. With the advent of computational linguistics in the second half of the twentieth century there was a growing interest for the application of that knowledge in systems for automatic speech and language processing, such as machine translation, question-answer ...

Functional and Cognitive Linguistics (grammar and typology). University of Antwerp

Peter Petré
Grammar and Pragmatics
Understanding how, when, and why do the functions and forms of grammar change the way they do, in order to gain insight in human cognition and evolution. The fundamental questions that continue to guide this research are: 1. To what extent is language change dependent on linguistic variation between individuals? For a long time studies on language change treated language as an abstract object cut loose from its users. But obviously language ...

THE AUTHORSHIP AND CONTRIBUTION OF INDONESIAN SCHOLARS IN ARABIC LINGUISTICS STUDIES (Case Study of Muhammad Nawawi al-Bantani) KU Leuven

Umar Ryad
Arabic Studies, Leuven

This research proposal seeks to address the scholarly oversight of Muhammad Nawawi al-Bantani's contributions to the field of Arabic linguistics. Despite his prolific works in various areas of Islamic studies, al-Bantani's expertise in Arabic linguistics has received insufficient attention. Therefore, this study aims to rectify this scholarly neglect by conducting a comprehensive analysis of al-Bantani's writings on Arabic ...

IOF Valorisation Manager Applied Linguistics University of Antwerp

Kris Peeters
Translation, Interpreting and Intercultural Studies (TricS)
The valorisation manager facilitates the growth of research and valorisation potential in the Department of Applied Linguistics / Translation and Interpreting by, among other things: (i) stimulating co-operation with industry and cultural stakeholders, and building a network with private and public sector partners; (ii) mapping, describing and protecting a knowledge and IP portfolio of potential interest to industry. (iii) proactively exploring ...

Recasting Transformer-based Language Models as a Tool for Analysis in both Linguistics and Other Fields with Text-driven Methodologies KU Leuven

Tim Van de Cruys
Linguistics Research Unit, Leuven, Faculty of Arts, Brussels Campus

Recent machine learning methods based on neural transformer architectures have greatly improved the state of the art for a wide range of natural language processing applications, such as machine translation and general natural language understanding. There is evidence that the self-supervised language modeling objective on which such neural methods are trained results in models that implicitly encode various kinds of ...