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Automatic Processing of Natural-Language Electronic Texts with NooJ : 10th International Conference, NooJ 2016, České Budějovice, Czech Republic, June 9-11, 2016, Revised Selected Papers

معرفی کتاب «Automatic Processing of Natural-Language Electronic Texts with NooJ : 10th International Conference, NooJ 2016, České Budějovice, Czech Republic, June 9-11, 2016, Revised Selected Papers» نوشتهٔ Linda Barone, Mario Monteleone, Max Silberztein (eds.)، منتشرشده توسط نشر Springer International Publishing : Imprint: Springer در سال 2016. این کتاب در 6 صفحه، فرمت pdf، زبان انگلیسی ارائه شده است.

This book constitutes the refereed proceedings of the 10th International Conference, NooJ 2016, held České Budějovice, Czech Republic, in June 2016. The 21 revised full papers presented in this volume were carefully reviewed and selected from 45 submissions. NooJ is a linguistic development environment that provides tools for linguists to construct linguistic resources that formalise a large gamut of linguistic phenomena: typography, orthography, lexicons for simple words, multiword units and discontinuous expressions, inflectional and derivational morphology, local, structural and transformational syntax, and semantics. Front Matter....Pages I-XII Front Matter....Pages 1-1 Treatments of the Kabylian Derived Nominal Verbs with NooJ....Pages 3-13 Addition of IPA Transcription to the Belarusian NooJ Module....Pages 14-22 Recognizing Diminutive and Augmentative Croatian Nouns....Pages 23-36 Inflectional and Morphological Variation of Arabic Multi-word Expressions....Pages 37-47 Quechua Module for NooJ Multilingual Linguistic Resources for MT....Pages 48-63 NooJ Local Grammars for Innovative Startup Language....Pages 64-73 Arabic Translation of the French Auxiliary: Using the Platform NooJ....Pages 74-86 Front Matter....Pages 87-87 Integration of a Segmentation Tool for Arabic Corpora in NooJ Platform to Build an Automatic Annotation Tool....Pages 89-100 Semi-automatic Part-of-Speech Annotating for Belarusian Dictionaries Enrichment in NooJ....Pages 101-111 Clinical Term Recognition: From Local to LOINC® Terminology. An Application for Italian Language....Pages 112-120 Enumerative Series in Spanish: Formalization and Automatic Detection....Pages 121-131 Recognition and Extraction of Latin Names of Plants for Matching Common Plant Named Entities....Pages 132-144 Generating Alerts from Automatically-Extracted Tweets in Standard Arabic....Pages 145-154 Front Matter....Pages 155-155 Detection of Verb Frames with NooJ....Pages 157-168 Phrasal Verb Disambiguation Grammars: Cutting Out Noise Automatically....Pages 169-181 NooJ Local Grammars for Endophora Resolution....Pages 182-195 Paraphrases for the Italian Communication Predicates....Pages 196-207 eSPERTo’s Paraphrastic Knowledge Applied to Question-Answering and Summarization....Pages 208-220 Front Matter....Pages 221-221 Endpoint for Semantic Knowledge (ESK)....Pages 223-233 Using Text Mining and Natural Language Processing to Support Business Decision: Towards a NooJ Application....Pages 234-245 Front Matter....Pages 221-221 A Decision-Support Tool of Medicinal Plants Using NooJ Platform....Pages 246-257 Back Matter....Pages 259-259
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