Formalizing Natural Languages with NooJ 2019 and Its Natural Language Processing Applications

13th International Conference, NooJ 2019, Hammamet, Tunisia, June 7–9, 2019, Revised Selected Papers

AvHéla Fehri,Slim Mesfar

Häftad, Engelska, 2020

Del 1153 i serien Communications in Computer and Information Science

556 kr

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Beskrivning

NooJ provides linguists with tools to develop dictionaries, regular grammars, context-free grammars, context-sensitive grammars and unrestricted grammars as well as their graphical equivalent to formalize each linguistic phenomenon.

Produktinformation

Utgivningsdatum:2020-01-07
Mått:155 x 235 x 13 mm
Vikt:359 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:221
Förlag:Springer Nature Switzerland AG
ISBN:9783030388324

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT

Innehållsförteckning

Recognition of Arabic Phonological Changes by Local Grammars in NooJ.- Lexicon-grammar tables development for Arabic psychological verbs.- The Identification of English Non-Finite Structures Using NooJ Platform.- Automatic recognition and translation of polysemous verbs using the platform NooJ.- Negation of Croatian Nouns.- The automatic generation of NooJ dictionaries from lexicon-grammar tables.- The Data Scientist on LinkedIn: Job advertisement corpus processing with NooJ.- Mining entrepreneurial commitment in university communication: evidence from Italy.- Disambiguation for Arabic Question-Answering system.- Recognition and analysis of opinion questions in standard Arabic.- Automatic Text Generation: How to Write the Plot of a Novel with NooJ.- Arabic learning application to enhance the Educational process in Moroccan MidHigh stage using NooJ platform.- (SLF) for Portuguese Learners using NooJ.- Construction of Educational Games with NooJ.- Detecting Hate Speech Online: A Case ofCroatian.- Dealing with Producing and Consuming Expressions in Italian Sentiment Analysis.- Rule based method for terrorism, violence and threat classification: application to Arabic Tweets.