Human Language Technology. Challenges for Computer Science and Linguistics [electronic resource] : 7th Language and Technology Conference, LTC 2015, Poznań, Poland, November 27-29, 2015, Revised Selected Papers / edited by Zygmunt Vetulani, Joseph Mariani, Marek Kubis.
Contributor(s): Vetulani, Zygmunt [editor.] | Mariani, Joseph [editor.] | Kubis, Marek [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Artificial Intelligence: 10930Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XVIII, 446 p. 102 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319937823.Subject(s): Natural language processing (Computer science) | Artificial intelligence | Machine theory | Data mining | Natural Language Processing (NLP) | Artificial Intelligence | Formal Languages and Automata Theory | Data Mining and Knowledge DiscoveryAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.35 Online resources: Click here to access onlineSpeech Processing -- Multiword Expressions -- Parsing -- Language Resources and Tools -- Ontologies and Wordnets -- Machine Translation -- Information and Data Extraction -- Text Engineering and Processing -- Applications in Language Learning -- Emotions, Decisions and Opinions -- Less-Resourced Languages.
This book constitutes the refereed proceedings of the 7h Language and Technology Conference: Challenges for Computer Science and Linguistics, LTC 2015, held in Poznan, Poland, in November 2015. The 31 revised papers presented in this volume were carefully reviewed and selected from 108 submissions. The papers selected to this volume belong to various fields of: Speech Processing; Multiword Expressions; Parsing; Language Resources and Tools; Ontologies and Wordnets; Machine Translation; Information and Data Extraction; Text Engineering and Processing; Applications in Language Learning; Emotions, Decisions and Opinions; Less-Resourced Languages.
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