Endangered languages
Titel |
Video |
Videobeschreibung |
|
Adamou, The Adaptive Bilingual Mind: Insights from Endangered Languages |
At present, much of the research on bilingual cognition focuses on late second language learners of a small number of languages. In this talk, I show how we can widen the net by integrating advances in the field of bilingualism with the study of endangered languages. Drawing on recent studies from Europe and Latin America, I demonstrate that experimental psycholinguistic methods can be successfully applied outside the lab and, conversely, how data from these understudied populations provide new insights into the adaptive capacities of the bilingual mind. I will discuss, in particular, how bilinguals manage competing conceptualizations of time and space, how their grammars and language mixing patterns adapt to cognitive constraints such as the need for simplification, and how language processing concurrently adapts to their complex bilingual experience. | |
| Bradley, David. Resilience Linguistics: What Is to be Done With Endangered Languages? |
Most of the languages of the minority groups in the world are receding under pressure from national and other dominant languages, many are endangered to various degrees, and some are no longer spoken at all. Linguists have long been aware of this problem, and CIPL has made it a key focus of its activities since 1991. | |
| Iskarous, Khalil. Sound Structure and Deep Learning: a Hope for Endangered Language Documentation |
This talk focuses on a central problem in human culture: the fast disappearance of the majority of the world’s languages. And when languages die, the cultures, social structures, and unique windows on the human mind, die as well. A world-wide project that documents, revitalizes, and reclaims endangered languages will be presented. Languages such as Tagle, a Nubian Language, and Ladin, a Romance Language are the object of our linguistic and computational analysis. We aim to attract an audience interested in endangered languages as well as to attract linguists to the use of machine learning. | |