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000844300 019__ $$a1046097781$$a1046648496$$a1047386744$$a1047771949
000844300 020__ $$a9783319901657$$q(electronic book)
000844300 020__ $$a3319901656$$q(electronic book)
000844300 020__ $$z9783319901633
000844300 020__ $$z331990163X
000844300 035__ $$aSP(OCoLC)on1045629788
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000844300 050_4 $$aQA76.9.N38
000844300 08204 $$a006.3/5$$223
000844300 24500 $$aTurkish natural language processing /$$cKemal Oflazer, Murat Saraçlar, editors.
000844300 264_1 $$aCham, Switzerland :$$bSpringer,$$c2018.
000844300 300__ $$a1 online resource.
000844300 336__ $$atext$$btxt$$2rdacontent
000844300 337__ $$acomputer$$bc$$2rdamedia
000844300 338__ $$aonline resource$$bcr$$2rdacarrier
000844300 4901_ $$aTheory and applications of natural language processing
000844300 500__ $$aIncludes index.
000844300 5050_ $$aIntro; Preface; Acknowledgements; Contents; About the Authors; 1 Turkish and Its Challenges for Language and Speech Processing; 1.1 Introduction; 1.2 Turkish Morphology; 1.3 Constituent Order and Morphology-Syntax Interface; 1.4 Applications; 1.5 State-of-the-Art Tools and Resources for Turkish; Notes; References; 2 Morphological Processing for Turkish; 2.1 Introduction; 2.2 Overview of Turkish Morphology; 2.3 Morphophonology and Morphographemics; 2.4 Root Lexicons and Morphotactics; 2.4.1 Representational Convention; 2.4.2 Nominal Morphotactics; 2.4.3 Verbal Morphotactics; 2.4.4 Derivations
000844300 5058_ $$a2.4.5 Examples of Morphological Analyses2.5 The Architecture of the Turkish Morphological Processor; 2.6 Processing Real Texts; 2.6.1 Acronyms; 2.6.2 Numbers; 2.6.3 Foreign Words; 2.6.4 Unknown Words; 2.7 Multiword Processing; 2.7.1 Lexicalized Collocations; 2.7.2 Semi-lexicalized Collocations; 2.7.3 Non-lexicalized Collocations; 2.8 Conclusions; Appendix: Turkish Morphological Features; References; 3 Morphological Disambiguation for Turkish; 3.1 Introduction; 3.2 Challenges; 3.3 Previous Work; 3.3.1 Rule-Based Methods; 3.3.1.1 Constraint-Based Morphological Disambiguation
000844300 5058_ $$a3.3.1.2 Constraints with Voting3.3.2 Learning the Rules; 3.3.3 Models Based on Inflectional Group n-Grams; 3.3.4 Discriminative Methods for Disambiguation; 3.4 Discussion; 3.4.1 Data Sets; 3.4.2 Experimental Results; 3.5 Conclusions; References; 4 Language Modeling for Turkish Text and Speech Processing; 4.1 Introduction; 4.2 Language Modeling; 4.3 Challenges in Statistical Language Modeling for Turkish; 4.4 Sub-lexical Units for Statistical Language Modeling; 4.4.1 Linguistic Sub-lexical Units; 4.4.2 Statistical Sub-lexical Units; 4.5 Statistical Language Modeling for Turkish
000844300 5058_ $$a4.5.1 Language Modeling with Linguistic Sub-lexical Units4.5.1.1 Surface Form Stem+Ending Model; 4.5.1.2 Lexical Form Stem+Ending Model; 4.5.2 Statistical Sub-lexical Units: Morphs; 4.6 Discriminative Language Modeling for Turkish; 4.6.1 Discriminative Language Model; 4.6.2 Feature Sets for Turkish DLM; 4.6.2.1 Basic n-Gram Features; 4.6.2.2 Linguistically Motivated Features; 4.6.2.3 Statistically Motivated Features; 4.7 Conclusions; References; 5 Turkish Speech Recognition; 5.1 Introduction; 5.2 Foundations of Automatic Speech Recognition; 5.3 Turkish Language Resources for ASR
000844300 5058_ $$a5.3.1 Turkish Acoustic and Text Data5.3.2 Linguistic Tools Used in Turkish ASR; 5.4 Turkish ASR Systems; 5.4.1 Newspaper Content Transcription System; 5.4.2 Turkish Broadcast News Transcription System; 5.4.3 LVCSR System for Call Center Conversations; 5.5 Conclusions; References; 6 Turkish Named-Entity Recognition; 6.1 Introduction; 6.2 NER on Turkish; 6.3 Task Description; 6.3.1 Representation; 6.3.2 Evaluating NER Performance; 6.4 Domain and Datasets; 6.4.1 Formal Texts; 6.4.2 Informal Texts; 6.4.3 Challenges of Informal Texts for NER; 6.5 Preprocessing for NER; 6.5.1 Tokenization
000844300 506__ $$aAccess limited to authorized users.
000844300 520__ $$aThis 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.
000844300 588__ $$aOnline resource; title from PDF title page (viewed July 25, 2018).
000844300 650_0 $$aNatural language processing (Computer science)
000844300 650_0 $$aTurkish language.
000844300 650_0 $$aTurkish language$$xTranslating.
000844300 7001_ $$aOflazer, Kemal,$$eeditor.
000844300 7001_ $$aSaraçlar, Murat,$$eeditor.
000844300 77608 $$iPrint version: $$z331990163X$$z9783319901633$$w(OCoLC)1029482346
000844300 830_0 $$aTheory and applications of natural language processing.
000844300 852__ $$bebk
000844300 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-90165-7$$zOnline Access$$91397441.1
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000844300 980__ $$aEBOOK
000844300 980__ $$aBIB
000844300 982__ $$aEbook
000844300 983__ $$aOnline
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