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oai:iris.cnr.it:20.500.14243/2936902024-11-29T15:03:55Zcom_20.500.14243_46com_20.500.14243_21col_20.500.14243_47ou_ou239

Computational Linguistics and Language Physiology: Insights from Arabic NLP and Cooperative Editing Pirrelli Vito Nahli Ouafae Boschetti Federico Del Gratta Riccardo Marzi Claudia Francesca Tomasi, Roberto Rosselli Del Turco, Anna Maria Tammaro Pirrelli, Vito Nahli, Ouafae Boschetti, Federico DEL GRATTA, Riccardo Marzi, Claudia Non-concatenative morphology Optical Character Recognition WordNet Temporal Self-organising Maps Mental Lexicon Language neuro-physiology Computer processing of written Arabic raises a number of challenges to traditional parsing architectures on many levels of linguistic analysis. In this contribution, we review some of these core issues and the demands they make, to suggest different strategies to successfully tackle them. In the end, we assess these issues in connection with the behaviour of neuro-biologically inspired lexical architectures known as Temporal Self-Organising Maps. We show that, far from being language-specific problems, issues in Arabic processing can shed light on some fundamental characteristics of the human language processor, such as structure-based lexical recoding, concurrent, competitive activation of output candidates and dynamic selection of optimal solutions. 2015 info:eu-repo/semantics/conferenceObject https://hdl.handle.net/20.500.14243/293690 10.1145/2802612.2802637 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84958689205 info:eu-repo/semantics/altIdentifier/isbn/978-1-4503-3295-8 http://dl.acm.org/citation.cfm?id=2802612 eng ispartofbook:Third AIUCD Annual Conference - Humanities and Their Methods in the Digital Ecosystem Third AIUCD Annual Conference - Humanities and Their Methods in the Digital Ecosystem firstpage:1 lastpage:8 numberofpages:8 ELETTRONICO alleditors:Francesca Tomasi, Roberto Rosselli Del Turco, Anna Maria Tammaro