Computational Linguistics - journal - was created in 1974.

Association for Computational Linguistics was created in 1962.

International Committee on Computational Linguistics was created in 1965.

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.

Sa Diego State University

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.

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.

M. Boot has written:

'De tekstmachine' -- subject(s): Computational linguistics, Data processing, Discourse analysis

'Taal, tekst, computer' -- subject(s): Computational linguistics

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

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

P. Whitelock has written:

'Linguistic and computational techniques in machine translation system design' -- subject(s): Machine translating, Computational linguistics

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)'

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.

H. T. Carvell has written:

'Computational experiments in grammatical classification' -- subject(s): Computational linguistics, Data processing, English language, Grammar

C. Casadio has written:

'Computational algebraic approaches to natural language' -- subject(s): Comparative and general Grammar, Language and logic, Computational linguistics, Mathematical linguistics, Grammar categories

'Interpretazione generica e metafora' -- subject(s): Genericalness (Linguistics), Metaphor

'Logic for grammar' -- subject(s): Categorial grammar, Formalization (Linguistics), Lambda calculus, Language and logic, Logic, Symbolic and mathematical, Mathematical linguistics, Semantics (Philosophy), Symbolic and mathematical Logic

Timothy C. Potts has written:

'Structures and Categories for the Representation of Meaning' -- subject(s): Categorization (Linguistics), Comparative and general Grammar, Computational linguistics, Language and logic, Semantics

'Model theory and linguistics'

Zaur Kambarov has written:

'The concept of definiteness and its application to automated reference resolution' -- subject(s): Comparative and general Grammar, Computational linguistics, Definiteness (Linguistics), Determiners, Grammar, Comparative and general, Reference (Linguistics)

David A. Senechalle has written:

'Introduction to formation structures' -- subject(s): Computational linguistics

Caroline Bourlet has written:

'Ordinateur et e tudes me die vales : Bibliographie I' -- subject(s): Bibliography, Linguistics, Computational linguistics, Middle Ages, History

Applied Linguistics= Computational; Forensic; Acquisition; Neurolinguistics; Psycholinguistics; Development; Assessment; Stylistics

Theoretical Linguistics= Cognitive; Generative; Phonology; Semantics; Pragmatics; Lexical; Syntax; Morphology

Descriptive Linguists= Etymology; historical; sociolinguistics; anthropological; comparative; phonetics

Susana Kuschert has written:

'Dynamic meaning and accommodation' -- subject(s): Computational linguistics, Semantics

Carolyn Gifford Zull has written:

'Textual correlates of relevance' -- subject(s): Computational linguistics

Eugene Charniak has written:

'Introduction to artificial intelligence' -- subject(s): Artificial intelligence

'Toward a model of children's story comprehension'

'Statistical language learning' -- subject(s): Artificial intelligence, Computational linguistics, Linguistics, Mathematical linguistics, Statistical methods

Natural language processing (NLP) and computational linguistics work together to analyze and understand human language patterns by using algorithms and computer programs to process and interpret text data. NLP focuses on developing tools and techniques to enable computers to understand and generate human language, while computational linguistics applies linguistic theories and models to analyze language structure and meaning. Together, they help computers to recognize patterns in language, extract information, and make sense of human communication.

Ulrike Tymister has written:

'Schriftspracherwerb funktionaler Analphabeten' -- subject(s): Written communication, Computational linguistics, Literacy

Mike Kipp has written:

'Being real' -- subject(s): Christianity, Friendship, Religious aspects, Religious aspects of Friendship, Witness bearing (Christianity)

'Multimodal corpora' -- subject(s): Linguistics, Methodology, Computational linguistics, Corpora (Linguistics), Human-computer interaction

Paola Merlo has written:

'Parsing with principles and classes of information' -- subject(s): Computational linguistics, Parsing (Computer grammar)

Karin Aijmer has written:

'English Corpus Linguistics: Studies in Honor'

'Conversational routines in English' -- subject(s): English language, Prosodic analysis, Conversation, Discourse analysis, Semiotics, Spoken English, Computational linguistics

Michaela Mahlberg has written:

'English general nouns' -- subject(s): Computational linguistics, Discourse analysis, English language, Noun

Don Osborn has written:

'African languages in a digital age' -- subject(s): African languages, Computational linguistics, Data processing

Ludovic Tanguy has written:

'Perl pour les linguistes' -- subject(s): Perl (Computer program language), Computational linguistics

P. H. Roosen-Runge has written:

'A user's guide to the phonological calculator' -- subject(s): Computational linguistics

Formal Approaches to Slavic Linguistics (FASL) is an annual conference that was first organized in 1992 by scholars interested in applying formal and computational methods to the study of Slavic languages. It continues to be held annually, with each conference hosted by a different university.

Michael P. Oakes has written:

'Quantitative methods in corpus-based translation studies' -- subject(s): Translating and interpreting, Study and teaching

'Statistics for corpus linguistics' -- subject(s): Statistical methods, Computational linguistics

Ludwig Hitzenberger has written:

'Automatisierung und Phonologie' -- subject(s): Computational linguistics, French language, Phonology, Speech processing systems

Monika Weissgerber has written:

'Valenz und Kongruenzbeziehungen' -- subject(s): Machine translating, German language, French language, Computational linguistics

Joybrato Mukherjee has written:

'Anglistische Korpuslinguistik' -- subject(s): English language, Data processing, Computational linguistics

'English ditransitive verbs'

Robert E. Frederking has written:

'Integrated natural language dialogue' -- subject(s): Computational linguistics, Psli3 (Computer system)

A BA in linguistics can provide you with a strong foundation in language structure, communication, and cultural diversity. This degree can qualify you for careers in fields such as education, translation, speech pathology, and computational linguistics. It can also help develop critical thinking and analytical skills that are valuable in many professional settings.

Steven Bird has written:

'Computational phonology' -- subject(s): Comparative and general Grammar, Computational linguistics, Constraints (Artificial intelligence), Data processing, Grammar, Comparative and general, Language and logic, Phonology

'The child witness within the criminal justice system'

Thierry Poibeau has written:

'Traitement automatique du contenu textuel' -- subject(s): Parsing (Computer grammar), Computational linguistics, Data mining

Jacques Oswald has written:

'Diacritical analysis of systems' -- subject(s): Coding theory, Computational linguistics, Information theory, Rate distortion theory

Ghulum Bakiri has written:

'Converting English text to speech' -- subject(s): Text processing (Computer science), Computational linguistics, Machine learning

Computational linguists combine linguistic theory with computer programming to solve speech and language technology problems. Work as a computational linguist requires an interdisciplinary background in linguistics, particularly focused in grammar and phonology, as well as strong computer science skills, and the ability to solve complex problems.

Computer replications of human linguistic behaviors are valuable in a variety of fields. In medical engineering, computational linguists help to create devices that allow for diverse and more natural communication for speech-impaired patients. Computational linguists most commonly work in software engineering, creating computer programs that can understand human speech, replicate it, use it as an executable interface, and provide accurate and more natural translation from one language to another.

In academic research fields, computational linguists work in linguistics, cognitive psychology, neurology, artificial intelligence, and computer science. Computational linguistics use computers to deeply examine language structure via incredibly large databases of speech and writing examples. These models can answer questions concerning human cognition and neurology.

Studying language also sheds light on a diverse array of computation problems. Human grammar is complex, but similar to computer programs, and studying the way the human mind learns language provides new models for computer technology. Corpus linguists study the problem of information storage, and create strategies for recording language knowledge in a way that allows computers to efficiently work, hoping to eventually create structures as efficient as the human brain. Their work relates to a variety of mathematical models that try to explain the behaviors found in search engine queries and related networks in nature and technology.

Jobs in computational linguistics require significant educational investment and experience. Most industry jobs require at least a Master�s degree, and academic jobs require a Ph.D., along with significant projects and experience.

Computational linguists are paid well for their work. A starting annual salary of $70,000 is easily achievable, and more advanced positions pay an average of around $120,000 per year. While computational linguistics is a smaller field with less overall opportunities for employment, a person with a background suitable for work in computational linguistics will find themselves applicable for a broad range of other careers, including computer science, academic research in a variety of fields, and possibly certain niches of engineering and statistics.

Computational linguistics is a fascinating field that combines computer technology and research with the observation and study of human behavior. For those interested in the way complex and naturally occurring systems are both informing and being replicated by technology, a career in computational linguistics will provide an array of opportunities for study and exploration.

Kenneth B. I. Holmqvist has written:

'Implementing cognitive semantics' -- subject(s): Computational linguistics, Psychological aspects, Psychological aspects of Semantics, Semantics

Wendy Anderson has written:

'Exploring English with online corpora' -- subject(s): English language, Data processing, Research, Computational linguistics, Discourse analysis

The innovative computer program Prolog associated with artificial intelligence and computational linguistics first appeared in 1975. It was one of the first logic programming languages.

Language technology refers to the use of technology to work with human language. Natural language processing (NLP) involves tasks like text analysis and machine translation. Computational linguistics focuses on the study of language from a computational perspective.

Fernando C. N. Pereira has written:

'Prolog and natural-language analysis' -- subject(s): Computational linguistics, Prolog (Computer program language)