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In everyday communication, Europe’s citizens, business partners and politicians are inevitably confronted with language barriers. Language technology has the potential to overcome these barriers and to provide innovative interfaces to technologies and knowledge. This document presents a Strategic Research Agenda for Multilingual Europe 2020. The agenda was prepared by META-NET, a European Network of Excellence. META-NET consists of 60 research centres in 34 countries, who cooperate with stakeholders from economy, government agencies, research organisations, non-governmental organisations, language communities and European universities. META-NET’s vision is high-quality language technology for all European languages. “The research carried out in the area of language technology is of utmost importance for the consolidation of Portuguese as a language of global communication in the information society.” — Dr. Pedro Passos Coelho (Prime-Minister of Portugal) “It is imperative that language technologies for Slovene are developed systematically if we want Slovene to flourish also in the future digital world.” — Dr. Danilo Türk (President of the Republic of Slovenia) “For such small languages like Latvian keeping up with the ever increasing pace of time and technological development is crucial. The only way to ensure future existence of our language is to provide its users with equal opportunities as the users of larger languages enjoy. Therefore being on the forefront of modern technologies is our opportunity.” — Valdis Dombrovskis (Prime Minister of Latvia) “Europe’s inherent multilingualism and our scientific expertise are the perfect prerequisites for significantly advancing the challenge that language technology poses. META-NET opens up new opportunities for the development of ubiquitous multilingual technologies.” — Prof. Dr. Annette Schavan (German Minister of Education and Research).
Computer science --- Computer architecture. Operating systems --- Translation science --- Mathematical linguistics --- Linguistics --- spraaktechnologie --- sociologie --- computers --- vertalen --- linguïstiek --- computerkunde --- gegevensverwerking --- Natural language processing (Computer science). --- Computational linguistics. --- Natural Language Processing (NLP). --- Computational Linguistics. --- Computational Linguistics --- Language Translation and Linguistics
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Humans employ mostly natural languages in describing and representing problems, c- puting and reasoning, arriving at ?nal conclusions described similarly as words in a natural language or as the form of mental perceptions. To make machines imitate humans’ mental activities, the key point in terms of machine intelligence is to process uncertain information by means of natural languages with vague and imprecise concepts. Zadeh (1996a) proposed a concept of Computing with Words (CWW) to model and c- pute with linguistic descriptions that are propositions drawn from a natural language. CWW, followed the concept of linguistic variables (Zadeh, 1975a,b) and fuzzy sets (Zadeh, 1965), has been developed intensively and opened several new vast research ?elds as well as applied in various areas, particularly in the area of arti?cial intelligence. Zadeh (1997, 2005) emphasized that the core conceptions in CWW are linguistic variables and fuzzy logic (or approximate reasoning). In a linguistic variable, each linguistic value is explained by a fuzzy set (also called semantics of the linguistic value), its membership function is de?ned on the universe of discourse of the linguistic variable. By fuzzy sets, linguistic information or statements are quanti?ed by membership functions, and infor- tion propagation is performed by approximate reasoning. The use of linguistic variables implies processes of CWW such as their fusion, aggregation, and comparison. Different computational approaches in the literature addressed those processes (Wang, 2001; Zadeh and Kacprzyk, 1999a, b). Membership functions are generally at the core of many fuzzy-set theories based CWW.
Computer science. --- Language translation and linguistics. --- Natural language processing (Computer science). --- Translators (Computer programs). --- Languages & Literatures --- Philology & Linguistics --- Computational linguistics. --- Computer Science. --- Language Translation and Linguistics. --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Informatics --- Science --- Data processing --- Natural Language Processing (NLP). --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing
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This white paper is part of a series that promotes knowledge about language technology and its potential. It addresses educators, journalists, politicians, language communities and others. The availability and use of language technology in Europe varies between languages. Consequently, the actions that are required to further support research and development of language technologies also differ for each language. The required actions depend on many factors, such as the complexity of a given language and the size of its community. META-NET, a Network of Excellence funded by the European Commission, has conducted an analysis of current language resources and technologies. This analysis focused on the 23 official European languages as well as other important national and regional languages in Europe. The results of this analysis suggest that there are many significant research gaps for each language. A more detailed expert analysis and assessment of the current situation will help maximise the impact of additional research and minimize any risks. META-NET consists of 54 research centres from 33 countries that are working with stakeholders from commercial businesses, government agencies, industry, research organisations, software companies, technology providers and European universities. Together, they are creating a common technology vision while developing a strategic research agenda that shows how language technology applications can address any research gaps by 2020.
Computational linguistics. --- Language translation and linguistics. --- Translators (Computer programs). --- Irish language --- Computational linguistics --- Natural language processing (Computer science) --- Languages & Literatures --- Celtic Languages & Literatures --- Philology & Linguistics --- Data processing --- Irish language. --- Erse language --- Gaelic language, Irish --- Irish Gaelic language --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Computer science. --- Computer Science. --- Language Translation and Linguistics. --- Computational Linguistics. --- Goidelic languages --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Natural language processing (Computer science). --- Natural Language Processing (NLP). --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing
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This state-of-the-art-survey documents the Fluid Construction Grammar (FCG), a new formalism for the representation of lexicons and grammars, which has been used in a wide range of case studies for different languages, both for studying specific grammatical phenomena and design patterns, as for investigating language learning and language evolution. The book focuses on the many complex computational issues that arise when writing challenging real world grammars and hence emphasises depth of analysis rather than broad scope. The volume contains 13 contributions organized in 5 parts from "Basic", and "Implementation", over "Case Studies", and "Formal Analysis", up to 3 papers presenting a "Conclusion".
Lexicology. Semantics --- Mathematical linguistics --- Artificial intelligence. Robotics. Simulation. Graphics --- Grammar --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Mathematical Logic and Formal Languages. --- Language Translation and Linguistics. --- Pattern Recognition. --- Programming Techniques. --- Logics and Meanings of Programs. --- Computer science. --- Logic design. --- Artificial intelligence. --- Translators (Computer programs). --- Optical pattern recognition. --- Informatique --- Structure logique --- Intelligence artificielle --- Traducteurs (Logiciels) --- Reconnaissance optique des formes (Informatique)
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Based on decades of collective research, teaching and application in the field, the authors present the most comprehensive treatment in Image processing, Fusion & Information Technology areas, Digital radio communication, Medical Electronics, Wimax, and Electrical Engg, VLSI approach to processor design, Embedded Systems design, and Ontology. This is further illustrated by using models, techniques and examples that cover the full spectrum of topics related to Contours of Computing Technology. Design &Quantitative approaches in Image processing Emerging trends in Mobile &Digital Radio Communication Practical Orientation in Hardware/Software Designs, Pulse Information Computing Methods in IT&Electrical Engg Fields VLSI Approach to Hardware Design Wire &WirelessTransmissionAlgorithm About The Editor Principal S. J. Pise is a post graduate in electrical engineering from COEP Pune, India (1984). He has more than 40 years ofteaching experience and in establishment of technical institutes. Principal Pise has hands on experience in designing and testing in engineering applications.
Computer science -- Congresses. --- Image processing -- Digital techniques -- Congresses. --- Image processing. --- Signal processing -- Digital techniques -- Congresses. --- Mathematics --- Physical Sciences & Mathematics --- Algebra --- Computer science --- Computer science. --- Microprogramming. --- Computer system failures. --- Coding theory. --- Multimedia information systems. --- Computational linguistics. --- Computer Science. --- Coding and Information Theory. --- Information Systems Applications (incl. Internet). --- Control Structures and Microprogramming. --- Language Translation and Linguistics. --- Multimedia Information Systems. --- System Performance and Evaluation.
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This book constitutes the refereed proceedings of the 14th China National Conference on Computational Linguistics, CCL 2014, and of the Third International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2015, held in Guangzhou, China, in November 2015. The 34 papers presented were carefully reviewed and selected from 283 submissions. The papers are organized in topical sections on lexical semantics and ontologies; semantics; sentiment analysis, opinion mining and text classification; machine translation; multilinguality in NLP; machine learning methods for NLP; knowledge graph and information extraction; discourse, coreference and pragmatics; information retrieval and question answering; social computing; NLP applications. .
Philology & Linguistics --- Languages & Literatures --- Computer science. --- Computational linguistics. --- Computer Science. --- Language Translation and Linguistics. --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Informatics --- Science --- Data processing --- Natural language processing (Computer science). --- Natural Language Processing (NLP). --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing
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Forensic Speaker Recognition: Law Enforcement and Counter-Terrorism is an anthology of the research findings of 35 speaker recognition experts from around the world. The volume provides a multidimensional view of the complex science involved in determining whether a suspect’s voice truly matches forensic speech samples, collected by law enforcement and counter-terrorism agencies, that are associated with the commission of a terrorist act or other crimes. While addressing such topics as the challenges of forensic case work, handling speech signal degradation, analyzing features of speaker recognition to optimize voice verification system performance, and designing voice applications that meet the practical needs of law enforcement and counter-terrorism agencies, this material all sounds a common theme: how the rigors of forensic utility are demanding new levels of excellence in all aspects of speaker recognition. The contributors are among the most eminent scientists in speech engineering and signal processing; and their work represents such diverse countries as Switzerland, Sweden, Italy, France, Japan, India and the United States. Forensic Speaker Recognition is a useful book for forensic speech scientists, speech signal processing experts, speech system developers, criminal prosecutors and counter-terrorism intelligence officers and agents.
Automatic speech recognition. --- Forensic sciences. --- Forensic sciences --- Automatic speech recognition --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Social Welfare & Social Work --- Social Sciences --- Telecommunications --- Criminology, Penology & Juvenile Delinquency --- Applied Physics --- Electrical Engineering --- Voiceprints. --- Voice prints --- Voiceprinting --- Engineering. --- Computational linguistics. --- Linguistics. --- Signal, Image and Speech Processing. --- Language Translation and Linguistics. --- Linguistics, general. --- Identification
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This white paper is part of a series that promotes knowledge about language technology and its potential. It addresses educators, journalists, politicians, language communities and others. The availability and use of language technology in Europe varies between languages. Consequently, the actions that are required to further support research and development of language technologies also differ for each language. The required actions depend on many factors, such as the complexity of a given language and the size of its community. META-NET, a Network of Excellence funded by the European Commission, has conducted an analysis of current language resources and technologies. This analysis focused on the 23 official European languages as well as other important national and regional languages in Europe. The results of this analysis suggest that there are many significant research gaps for each language. A more detailed expert analysis and assessment of the current situation will help maximise the impact of additional research and minimize any risks. META-NET consists of 54 research centres from 33 countries that are working with stakeholders from commercial businesses, government agencies, industry, research organisations, software companies, technology providers and European universities. Together, they are creating a common technology vision while developing a strategic research agenda that shows how language technology applications can address any research gaps by 2020.
Language. --- Languages & Literatures --- Philology & Linguistics --- Finnish language --- Natural language processing (Computer science) --- Data processing. --- NLP (Computer science) --- Computer science. --- Computational linguistics. --- Computer Science. --- Language Translation and Linguistics. --- Computational Linguistics. --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Baltic-Finnic languages --- Natural language processing (Computer science). --- Natural Language Processing (NLP). --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Data processing
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This book lays out a path leading from the linguistic and cognitive basics, to classical rule-based and machine learning algorithms, to today’s state-of-the-art approaches, which use advanced empirically grounded techniques, automatic knowledge acquisition, and refined linguistic modeling to make a real difference in real-world applications. Anaphora and coreference resolution both refer to the process of linking textual phrases (and, consequently, the information attached to them) within as well as across sentence boundaries, and to the same discourse referent. The book offers an overview of recent research advances, focusing on practical, operational approaches and their applications. In part I (Background), it provides a general introduction, which succinctly summarizes the linguistic, cognitive, and computational foundations of anaphora processing and the key classical rule- and machine-learning-based anaphora resolution algorithms. Acknowledging the central importance of shared resources, part II (Resources) covers annotated corpora, formal evaluation, preprocessing technology, and off-the-shelf anaphora resolution systems. Part III (Algorithms) provides a thorough description of state-of-the-art anaphora resolution algorithms, covering enhanced machine learning methods as well as techniques for accomplishing important subtasks such as mention detection and acquisition of relevant knowledge. Part IV (Applications) deals with a selection of important anaphora and coreference resolution applications, discussing particular scenarios in diverse domains and distilling a best-practice model for systematically approaching new application cases. In the concluding part V (Outlook), based on a survey conducted among the contributing authors, the prospects of the research field of anaphora processing are discussed, and promising new areas of interdisciplinary cooperation and emerging application scenarios are identified. Given the book’s design, it can be used both as an accompanying text for advanced lectures in computational linguistics, natural language engineering, and computer science, and as a reference work for research and independent study. It addresses an audience that includes academic researchers, university lecturers, postgraduate students, advanced undergraduate students, industrial researchers, and software engineers.
Computer science. --- Computational linguistics. --- Computer Science. --- Language Translation and Linguistics. --- Computational Linguistics. --- Anaphora (Linguistics) --- Cross-reference (Linguistics) --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Data processing --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Grammar, Comparative and general --- Reference (Linguistics) --- Natural language processing (Computer science). --- Natural Language Processing (NLP). --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing
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This book constitutes the refereed proceedings of the Third International Workshop on Systems and Frameworks for Computational Morphology, SFCM 2013, held in Berlin, in September 2013. The 7 full papers were carefully reviewed and selected from 15 submissions and are complemented with an invited talk. The papers discuss recent advances in the field of computational morphology.
Languages & Literatures --- Philology & Linguistics --- Computer science. --- Artificial intelligence. --- Computational linguistics. --- Computer Science. --- Language Translation and Linguistics. --- Artificial Intelligence (incl. Robotics). --- Computational linguistics --- Natural language processing (Computer science). --- Natural Language Processing (NLP). --- Artificial Intelligence. --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers
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