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What has the author M Boot written?
M. Boot has written: 'De tekstmachine' -- subject(s): Computational linguistics, Data processing, Discourse analysis 'Taal, tekst, computer' -- subject(s): Computational linguistics
When was Association for Computational Linguistics created?
Association for Computational Linguistics was created in 1962.
When was Computational Linguistics - journal - created?
Computational Linguistics - journal - was created in 1974.
When was International Committee on Computational Linguistics created?
International Committee on Computational Linguistics was created in 1965.
What are the key differences between computational linguistics and natural language processing (NLP)?
Computational linguistics focuses on the study of language from a computational perspective, while natural language processing (NLP) involves the development of algorithms and models to process and understand human language. Computational linguistics is more theoretical and linguistic-focused, while NLP is more practical and application-oriented.
What Major Should I Pick for a Computational Linguist Job?
A computational linguist studies the patterns in language to make inferences about the greater culture. A computational linguist has an important job in society, because he or she explains why language works the way it does. To become a computational linguist, students should study linguistics during their undergraduate education. If a linguistics major is unavailable, then a student may want to try pursuing an English major. Because computational linguistics combines linguistics and statistics, taking a few statistics courses is also recommended. A student with a double major in math and linguistics will have a greater likelihood of landing a computational linguist job than a student with only a linguistics degree. A student should try to take a broad interdisciplinary approach to prepare for a computational linguist career.
What is the meaning of the term computational linguistics?
Computational linguistics refers to the studying and analysis of human speech so that the computer can transform it into a format it recognizes. This branch of computer science is also known as voice recognition.
What has the author Manuel Barbera written?
Manuel Barbera has written: 'read online (original download site)' -- subject(s): Literature, Italian literature, Computational linguistics, Data processing, History and criticism 'original download site' -- subject(s): linguistics; corpus linguistics; digital philology; POS-tag; computational linguistics
What has the author Martin Kay written?
Martin Kay has written: 'Computational competence and linguistic performance' -- subject(s): Computational linguistics 'The MIND system' -- subject(s): Data processing, English language, File organization (Computer science), MIND (Computer system) 'Performance grammars' -- subject(s): Comparative and general Grammar 'Collected papers of Martin Kay' -- subject(s): Computational linguistics 'Large files in linguistic computing' -- subject(s): Computational linguistics 'The computer system to aid the linguistic field worker' -- subject(s): Computational linguistics 'The catalog' 'Verbmobil' -- subject(s): Automatic speech recognition, Machine translating, Natural language processing (Computer science) 'Natural language in computer form' -- subject(s): Computational linguistics 'Marketing petroleum products' -- subject(s): English language, Text-books for foreigners
What has the author P Whitelock written?
P. Whitelock has written: 'Linguistic and computational techniques in machine translation system design' -- subject(s): Machine translating, Computational linguistics
What has the author Wolfgang Teubert written?
Wolfgang Teubert has written: 'Valenz des Substantivs' -- subject(s): German language, Noun 'Corpus linguistics' -- subject(s): Computational linguistics, Corpora (Linguistics) 'Text Corpora and Multilingual Lexicography (International Journal of Corpus Linguistics)'
What is the significance of lexical distance in the field of computational linguistics?
Lexical distance is important in computational linguistics because it measures the similarity between languages based on their vocabulary. This helps in tasks like machine translation and language identification by determining how closely related languages are and how easily they can be translated or processed by algorithms.
