Turkish Natural Language Processing

Natural Language Processing is an interdisciplinary field and attracts the attention of researchers from many disciplines including but not limited to artificial intelligence, computer science, linguistics, language learning and cognitive science. Although many of the algorithms have been initially tested on English, languages like Turkish pose interesting challenges due to their morphologically rich and free constituent order nature. This talk will briefly review the Turkish NLP layers and introduce some recent advances on Turkish NLP tasks (e.g., information extraction, language learning).

Bio

Gülşen Eryiğit is the top-cited researcher in Turkey in the field of Natural Language Processing. She is actively a senior action editor at the Association of Computational Linguistics (ACL) RR, an associate professor at the Artificial Intelligence and Data Engineering Department of Istanbul Technical University, the coordinator of ITU Natural Language Processing Group, and the director of ITU TÖMER. She received her master’s and PhD degrees from ITU Computer Engineering Department in 2002 and 2007. She has worked as a referee and author in many prestigious journals and conferences on NLP. In recent years, she has worked as a coordinator or researcher in many scientific projects funded by EU, Tubitak, and the Ministry of Industry and Technology, and as a consultant in several industrial R&D projects funded by EU and Tubitak TEYDEB. She also acts as a project evaluator and observer for these funding agencies. She owns one issued and one pending patent. She is the person who realized the first software export from the ITU Technology transfer office.