Computational Linguistics

Computational linguistics, from a computational point of view, is an interdisciplinary field of linguistics that studies natural languages on a statistical or rule-based basis, with both theoretical and applied components. Computational linguistics, whose fields of study are computer sciences, artificial intelligence, mathematics and logic, first emerged in the United States in the 1950s with the use of computers to translate scientific texts into Russian faster and easier. However, when machine translation could not translate texts correctly, language processing proved to be more complicated and difficult than previously thought. Therefore, algorithms and software have been developed to enable language processing. Developed algorithms and software gave birth to the field of artificial intelligence in the 1960s. The term “Computational Linguistics” was first used by David Hays, founder of both the International Committee on Computational Linguistics (ICCL) and the Association for Computational Linguistics (ACL).

• What are the Sub-Fields of Computational Linguistics?

Theoretical Computational Linguistics includes theories of formal grammar and semantics based on formal logic and knowledge-based approaches, and computational semantics, which includes the computational complexity of natural languages ​​and the identification of appropriate logics for linguistic semantic representation.

Applied Computational Linguistics is dominated by machine learning using statistical methods. It has applications such as natural language processing, part of speech tagging, natural language parsers, and computer translation.

• What are the Approaches of Computational Linguistics?

• Developmental Approaches,

• Structural Approaches,

• Production Approaches,

• Text Based Interactive Approaches,

• Conversation-Based Interactive Approaches and,

• Understanding Approaches.