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Language technology

Language technology, often called human language technology (HLT), studies methods of how computer programs or electronic devices can analyze, produce, modify or respond to human texts and speech. Working with language technology often requires broad knowledge not only about linguistics but also about computer science. It consists of natural language processing (NLP) and computational linguistics (CL) on the one hand, many application-oriented aspects of these, and more low-level aspects such as encoding and speech technology on the other hand.

Note that these elementary aspects are normally not considered to be within the scope of related terms such as natural language processing and (applied) computational linguistics, which are otherwise near-synonyms. As an example, for many of the world's lesser-known languages, the foundation of language technology is providing communities with fonts and keyboard setups so their languages can be written on computers or mobile devices.

Other tools are also part of modern language technology and include machine translation, speech recognition, text processing and natural language processing.

Large-scale AI models have recently advanced the field and enhanced the ability of machines to interpret complex human context.

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This article is adapted from the Wikipedia article Language technology, written by its contributors and licensed under CC BY-SA 4.0. Fathomly has changed the layout, removed citation markers, navigation and maintenance notices, and adjusted punctuation. This adapted version is shared under the same license. For references, see the original article.

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