Human Language
Human language research aims to understand how humans process, produce, and learn language, focusing on both its cognitive and computational aspects. Current research heavily utilizes large language models (LLMs) and vision-language models (VLMs), applying them to tasks like word sense disambiguation, cross-modal reasoning, and the analysis of language in diverse contexts such as online communities and medical images. These advancements are improving machine translation, text-to-speech synthesis, and other applications while also providing new tools for investigating fundamental questions about human cognition and language acquisition.
Papers
The Politics of Language Choice: How the Russian-Ukrainian War Influences Ukrainians' Language Use on Twitter
Daniel Racek, Brittany I. Davidson, Paul W. Thurner, Xiao Xiang Zhu, Göran Kauermann
A framework for the emergence and analysis of language in social learning agents
Tobias J. Wieczorek, Tatjana Tchumatchenko, Carlos Wert Carvajal, Maximilian F. Eggl