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Computational Linguistics

Computational linguistics is an interdisciplinary field that combines linguistics, computer science, and artificial intelligence to develop computational models and algorithms for processing and understanding human language. It focuses on tasks such as natural language processing (NLP), speech recognition, machine translation, and text analysis. The field aims to enable computers to interpret, generate, and learn from human language data.

Also known as: NLP, Natural Language Processing, Language Technology, Linguistic Computing, CompLing
🧊Why learn Computational Linguistics?

Developers should learn computational linguistics when working on applications involving language understanding, such as chatbots, voice assistants, sentiment analysis, or automated translation systems. It is essential for building AI-driven tools that interact with users through text or speech, improving accessibility and automation in areas like customer service, content moderation, and data extraction from unstructured text.

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