Most work in computational linguistics - which has both theoretical and applied elements - is aimed at improving the relationship between computers and basic language. It involves building artifacts that can be used to process and produce language. Applications of computational linguistics Computational linguistics also leans more toward linguistics and answering linguistic questions with computational tools NLP, on the other hand, involves the application of processing language. Where NLP deals with the ability of a computer program to understand human language as it is spoken and written, CL focuses on the computational description of languages as a system. Both use the same tools, such as machine learning and AI, to accomplish their goals, and many NLP tasks need an understanding or interpretation of language. Create chatbots capable of passing the Turing Test.Ĭomputational linguistics and natural language processing are similar concepts, as both fields require formal training in computer science, linguistics and machine learning.Build dialogue agents capable of completing complex tasks such as making a purchase, planning a trip or scheduling maintenance.Answer questions, including those that require inference and descriptive or discursive answers.Analyze text or spoken language for context, sentiment or other affective qualities.Retrieve text that relates to a specific topic.Translate text from one language to another.Create grammatical and semantic frameworks for characterizing languages.Computational linguistics can be used for many different basic applications.īusiness goals of computational linguistics include the following: The term computational linguistics is also very closely linked to NLP, and these two terms are often used interchangeably. Individuals pursing a job as a linguist generally need a master's or doctoral degree in a computer science-related field or a bachelor's degree with work experience developing natural language software. In the private sector, vertical companies typically employ computational linguists to authenticate the accurate translation of technical manuals. Tech software companies, such as Microsoft, typically hire computational linguists to work on natural language processing ( NLP), helping programmers to create voice user interfaces that enable humans to communicate with computing devices as if they were another person.Ī computational linguist is required to have expertise in machine learning ( ML), deep learning, AI, cognitive computing and neuroscience. Typically, computational linguists are employed in universities, governmental research labs or large enterprises. Computers that are linguistically competent help facilitate human interaction with machines and software.Ĭomputational linguistics is used in tools like instant machine translation, speech recognition systems, text-to-speech synthesizers, interactive voice response systems, search engines, text editors and language instruction materials. Gillis, Technical Writer and EditorĬomputational linguistics (CL) is the application of computer science to the analysis and comprehension of written and spoken language. As an interdisciplinary field, CL combines linguistics with computer science and artificial intelligence ( AI) and is concerned with understanding language from a computational perspective.
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