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Category I.2.7 Natural Language Processing

Discourse Language generation Language models Language parsing and understanding Machine translation Speech recognition and synthesis Text analysis
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Article MOBILE SEARCH AND ADVERTISING Abstract: Mobile advertising is a rapidly growing sector providing brands and marketing agencies the opportunity to connect with consumers beyond traditional and digital media and instead communicate 
Article MULTILINGUAL REDUCED N-GRAM MODELS Abstract: Statistical language models should improve as the size of the n-grams increases from 3 to 5 or higher. However, the number of parameters and calculations, and the storage requirement increa 
Article NUMERIC-LINGUAL DISTINGUISHING FEATURES OF SCIENTIFIC DOCUMENTS Abstract: The classification of scientific papers is based on the ability of the artificial system (let’s call such a system ARSA i.e. Automated Review of Scientific Articles) to reflect the simila 
Article ON MENTAL REPRESENTATIONS: LANGUAGE STRUCTURE AND MEANING REVISED Abstract: Based on results from recent studies in neuroscience, cognitive science, brain imaging and psychology, we develop a model of language faculty. We suggest that the entire brain, all its subn 
Article PARAMETERIZATION OF COMMENTS FROM PERUVIAN FACEBOOK AND TWITTER... Abstract: Millions of Facebook and Twitter users send their comments all over the world about products and services, political and economical events, etc. (almost 3 billions each day) The principal p 
Article SEMANTIC SEARCH OF INTERNET INFORMATION RESOURCES ON BASE OF ONTOLOGIES ... Abstract: the approaches to the analysis of various information resources pertinent to user requirements at a semantic level are determined by the thesauruses of the appropriate subject domains. The  
Article SPAM AND PHISHING DETECTION IN VARIOUS LANGUAGES Abstract: The majority of existing spam filtering techniques suffers from several serious disadvantages. Some of them provide many false positives. The others are suitable only for email filtering an 
Article STUDYING SPECIAL TEXT RUSSIAN CORPORA BY THE LEXICO-SYNTACTIC MODELS Abstract: The paper presents the results of automatic term extraction from a special text corpus (a collection of papers on corpus linguistics) by means of statistical methods (association measures)  
Article STUDYING SPECIAL TEXT RUSSIAN CORPORA BY THE LEXICO-SYNTACTIC MODELS Abstract: The paper presents the results of automatic term extraction from a special text corpus (a collection of papers on corpus linguistics) by means of statistical methods (association measures)  
Article SYNTACTIC OPERATIONS – MODELING LANGUAGE FACULTY Abstract: We further develop the self-centered model of mental representations for language with the focus on the mechanisms underlying syntactic calculus and the construction of larger meaningful c 
Article THE EDUCATIONAL TECHNOLOGY FOR LEARNING FOREIGN WORDS Abstract: German psychologist Hermann Ebbinghaus, the first person studied a memory, experimentally publishes his forgetting curve, which characterized the ability of a human brain to remember the in 
Article THE STUDY OF FACTORS RELADED WITH SINGLE-DOCUMENT KEYWORD EXTRACTION Abstract: In this paper we consider the problem of keyword extraction for the document annotation. We study different statistic-based measures for such extraction and compare the results with the ann 
Article VERBAL DIALOGUE VERSUS WRITTEN DIALOGUE Abstract: Modern technology has moved on and completely changed the way that people can use the telephone or mobile to dialogue with information held on computers. Well developed “written speech an 
Article О МОДЕЛИРОВАНИИ ПОНИМАНИЯ Аннотация: Достижения в исследовании и реализации искусственного интеллекта относятся в основном к формали� 
Article УНИВЕРСАЛЬНАЯ СИСТЕМА ПРОГРАММ МОРФОЛОГИЧЕСКОГО АНАЛИЗА НАУЧНО-ТЕХНИЧЕСКИХ ... Abstract. This paper describes the software package FEST, which includes a universal program for morphological analysis of scientific and technical texts, MORPH, and several other programs generating 
Article ФОРМАЛЬНОЕ ОПРЕДЕЛЕНИЕ СИТУАЦИИ ДЛЯ СЕМАНТ Аннотация: Предложен новый метод семантического анализа текстов естественного языка, основанный на совмест� 

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