Computational Linguistics

Definition of Computational Linguistics

Computational linguistics is the application of artificial intelligence and machine learning techniques to natural language processing tasks. It encompasses areas such as parsing, machine translation, and text mining. It involves the development and application of algorithms to automatically process language data, as well as the study of linguistic phenomena from a computational viewpoint.

What is Computational Linguistics used for?

Computational linguistics is an interdisciplinary field that combines the study of language and computing. It is used to develop systems that understand, analyze, manipulate and generate natural human language in order to solve real-world problems. For example, computational linguistics can be used to develop speech recognition systems or machine translation systems. It also has applications in areas such as information retrieval, text mining, dialog systems, summarization and question answering. Computational linguistics involves a combination of computer science (programming), artificial intelligence (AI), psychology, mathematics and statistics to build applications which are able to recognize linguistic patterns from large corpora of natural language data. The main aim is to create models that can handle complex syntactic structure and meaning. This involves using techniques such as natural language processing (NLP) for text analysis and understanding; semantic web for knowledge representation; machine learning for predictive models; neural networks for deep learning; and probabilistic reasoning for taking decisions based on available evidence. Ultimately, the goal is to build programs which can generate accurate representations of natural language data so that meaningful conclusions can be drawn from it.

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