l2hm2018: Learning Language in Humans and in Machines
5-6 July 2018
Recent advances in machine learning and big data open up the possibility of reverse engineering cognitive language acquisition, with potential benefits to both psycholinguistics and AI. In this context, we are putting together an interdisciplinary 2-day workshop aimed at bringing together researchers who work on language acquisition in both fields. We are especially interested in:
1. Computational studies on language acquisition related questions, using realistic, large scale data (natural and/or artificial).
2. Psycholinguistic work on language acquisition that may have consequences for computational models. For example, that implies a need for constraints/ assumptions in models. We invite submissions for poster presentations on experimental and/or modeling approaches to human and machine language learning.
Abstract submission deadline: 24 March 2018