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Programming --- Translators (Computer programs) --- Compiling (Electronic computers) --- Translating programs (Computer programs) --- Computer programs --- Systems software --- Macro processors --- Automatic programming (Computer science) --- Electronic data processing --- Assembling (Electronic computers) --- Informatique --- Computer science --- Langages formels --- Formal languages --- Grammar --- Translation
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Programming --- Translators (Computer programs) --- Traducteurs (Logiciels) --- #TCPW P4.0 --- #TCPW P4.1 --- 681.3*D34 --- Translating programs (Computer programs) --- Computer programs --- Systems software --- Macro processors --- Processors: code generation; compilers; interpreters; optimization; parsing; preprocessors; run-time environments; translator writing systems and compilergenerators (Programming languages) --- 681.3*D34 Processors: code generation; compilers; interpreters; optimization; parsing; preprocessors; run-time environments; translator writing systems and compilergenerators (Programming languages) --- Translators (Computer programs).
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Dutch language --- Translation science --- Computer. Automation --- Translators (Computer programs) --- Political aspects. --- -Translators (Computer programs) --- #A9212A --- Translating programs (Computer programs) --- Computer programs --- Systems software --- Macro processors --- Flemish language --- Netherlandic language --- Germanic languages --- Political aspects --- Netherlands --- -Language policy --- Language policy --- Automatisch vertalen --- Nederlandse taal --- toekomst --- Translators (Computer programs). --- Automatisch vertalen. --- toekomst. --- Glottopolitics --- Institutional linguistics --- Language and languages --- Language and state --- Languages, National --- Languages, Official --- National languages --- Official languages --- State and language --- Government policy --- Communication policy --- Language planning --- Dutch language - Political aspects. --- Toekomst.
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Assembling (Electronic computers) --- Compiling (Electronic computers) --- Translators (Computer programs) --- 681.3*D34 --- 681.3*D34 Processors: code generation; compilers; interpreters; optimization; parsing; preprocessors; run-time environments; translator writing systems and compilergenerators (Programming languages) --- Processors: code generation; compilers; interpreters; optimization; parsing; preprocessors; run-time environments; translator writing systems and compilergenerators (Programming languages) --- Translating programs (Computer programs) --- Computer programs --- Systems software --- Macro processors --- Automatic programming (Computer science) --- Electronic data processing --- Programming
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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. --- Galician language -- Data processing. --- Languages in contact. --- Natural language processing (Computer science). --- Languages & Literatures --- Philology & Linguistics --- Galician language --- Translators (Computer programs) --- Data processing. --- Translating programs (Computer programs) --- Galego language --- Gallegan dialect --- Computer science. --- Computer Science. --- Language Translation and Linguistics. --- Computational Linguistics. --- Computer programs --- Systems software --- Macro processors --- Romance languages --- 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 --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Data processing
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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 technology. --- Natural language processing (Computer science). --- Swedish language. --- Languages & Literatures --- Philology & Linguistics --- Computer science. --- Translators (Computer programs) --- Computational linguistics --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Translating programs (Computer programs) --- Informatics --- Data processing --- Computer Science. --- Language Translation and Linguistics. --- Computational Linguistics. --- Science --- Computer programs --- Systems software --- Macro processors --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- 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.
Norwegian language -- Dialects -- United States. --- Norwegian language -- History. --- Languages & Literatures --- Philology & Linguistics --- Norwegian language --- Translators (Computer programs) --- Data processing. --- Bokmål --- Dano-Norwegian language --- Norwegian language (Bokmål) --- Norwegian language (Riksmål) --- Riksmål --- Translating programs (Computer programs) --- Computer science. --- Computational linguistics. --- Computer Science. --- Language Translation and Linguistics. --- Computational Linguistics. --- Computer programs --- Systems software --- Macro processors --- Scandinavian 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 --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Data processing
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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.
French language -- Data processing. --- French language -- Grammar. --- Translators (Computer programs). --- French language --- Natural language processing (Computer science) --- Computational linguistics --- Languages & Literatures --- Philology & Linguistics --- Romance Languages --- Data processing --- Translators (Computer programs) --- Data processing. --- Translating programs (Computer programs) --- Langue d'oïl --- Computer science. --- Computational linguistics. --- Computer Science. --- Language Translation and Linguistics. --- Computational Linguistics. --- Computer programs --- Systems software --- Macro processors --- Romance 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 --- 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. --- Corpora (Linguistics). --- Natural language processing (Computer science). --- Spanish language -- Data processing. --- Languages & Literatures --- Philology & Linguistics --- Spanish language --- Translators (Computer programs) --- Data processing. --- Translating programs (Computer programs) --- Castilian language --- Computer science. --- Computer Science. --- Language Translation and Linguistics. --- Computational Linguistics. --- Computer programs --- Systems software --- Macro processors --- Romance languages --- 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 --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Data processing
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