Turkish Natural Language Processing (Theory and Applications of Natural Language Processing)

This book brings together work on Turkish natural language and speech processing over the last 25 years, covering numerous fundamental tasks ranging from morphological processing and language modeling, to full-fledged deep parsing and machine translation, as well as computational resources developed along the way to enable most of this work. Owing to its complex morphology and free constituent order, Turkish has proved to be a fascinating language for natural language and speech processing research and applications.

After an overview of the aspects of Turkish that make it challenging for natural language and speech processing tasks, this book discusses in detail the main tasks and applications of Turkish natural language and speech processing. A compendium of the work on Turkish natural language and speech processing, it is a valuable reference for new researchers considering computational work on Turkish, as well as a one-stop resource for commercialand research institutions planning to develop applications for Turkish. It also serves as a blueprint for similar work on other Turkic languages such as Azeri, Turkmen and Uzbek.

Kemal Oflazer received his Ph.D. in computer science from Carnegie Mellon University in Pittsburgh, USA, and his M.Sc. in computer science and B.Sc. in electrical and electronics engineering from Middle East Technical University, Ankara, Turkey. He is currently a faculty member at Carnegie Mellon University in Doha, Qatar, where he is also the Associate Dean for Research. He has held visiting positions at the Computing Research Laboratory at New Mexico State University, Las Cruces, USA and at the Language Technologies Institute, Carnegie Mellon University. Prior to joining CMU-Qatar, he worked at Sabancı University in Istanbul, Turkey (2000-2008) and Bilkent University in Ankara, Turkey (1989-2000). He has worked extensively on developing natural language processing techniques and resources for Turkish. Oflazer’s current research interests include statistical machine translation into morphologically complex languages, the use of NLP for language learning and machine learning for computational morphology. In addition, he was a member of the editorial boards of Computational Linguistics, the Journal of Artificial Intelligence Research, Machine Translation, and Research on Language and Computation and was a book review editor for Natural Language Engineering. He was a member of the nomination and advisory boards for EACL, and served as the program co-chair for ACL 2005, an area chair for COLING 2000, EACL 2003, ACL 2004, ACL 2012, and EMNLP 2013 and the organization committee co-chair for EMNLP 2014. Currently, he is an editorial board member of both Language Resources and Evaluation and Natural Language Engineering journals and is a member of the advisory board for “SpringerBriefs in Natural Language Processing”.