Turkish Natural Language Processing [electronic resource] /
Oflazer, Kemal.editor.
Saraçlar, Murat.editor.
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 commercial and 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.
Turkish and its challenges for language and speech processing (Kemal Oflazer, Murat Saraçlar) -- Morphological processing for Turkish (Kemal Oflazer) -- Morphological disambiguation for Turkish (Dilek Zeynep Hakkani-Tür, Murat Saraçlar, Gökhan Tür, Kemal Oflazer, Deniz Yuret) -- Language modeling for Turkish text and speech processing (Ebru Arısoy, Murat Saraçlar) -- Turkish speech recognition (Ebru Arısoy, Murat Saraçlar) -- Turkish named entity recognition (Reyyan Yeniterzi, Gökhan Tür, Kemal Oflazer) -- Dependency parsing of Turkish (Gülşen Eryiğit, Joakim Nivre, Kemal Oflazer) -- Wide-covering parsing, semantics and morphology (Ruket Çakıcı, Mark Steedman, Cem Bozşahin) -- Deep parsing of Turkish with lexical-functional grammar (Özlem Çetinoğlu, Kemal Oflazer) -- Statistical Machine Translation and Turkish (Kemal Oflazer, Reyyan Yeniterzi, Ǐlknur Durgar-El Kahlout) -- Machine Translation between Turkic languages (A. Cüneyd Tantuğ, Eşref Adalı) -- Sentiment analysis in Turkish (Gizem Gezici, Berrin Yanıkoğlu) -- The Turkish treebank (Gülşen Eryiğit, Kemal Oflazer, Umut Sulubacak) -- Linguistic corpora: A view from Turkish (Mustafa Aksan, Yeşim Aksan) -- Turkish wordnet (Özlem Çetinoğlu, Orhan Bilgin, Kemal Oflazer) -- Turkish discourse bank: Connectives and their configurations (Deniz Zeyrek, Işın Demirşahin, Cem Bozşahin) -- .
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 commercial and 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.
Computational linguistics.
Signal processing.
Image processing.
Speech processing systems.
Natural language processing (Computer science).
Ural-Altaic languages.
Artificial intelligence.
Computational Linguistics.
Signal, Image and Speech Processing.
Natural Language Processing (NLP).
Uralic-Altaic Languages.
Artificial Intelligence.