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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 h...

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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.[1] 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.[2]

Other tools are also part of modern language technology and include machine translation, speech recognition, text processing and natural language processing.[3]

Large-scale AI models have recently advanced the field and enhanced the ability of machines to interpret complex human context.[4]

References

  1. ↑Uszkoreit, Hans. "DFKI-LT - What is Language Technology". Retrieved 16 November 2018.
  2. ↑"SIL Writing Systems Technology". sil.org. 11 December 2018. Retrieved 9 December 2019.
  3. ↑Holdsworth, Cole Stryker, Jim (2024-08-11). "What Is NLP (Natural Language Processing)? | IBM". www.ibm.com. Retrieved 2026-05-06.{{cite web}}: CS1 maint: multiple names: authors list (link)
  4. ↑ Singhal, Karan; Azizi, Shekoofeh; Tu, Tao; Mahdavi, S. Sara; Wei, Jason; Chung, Hyung Won; Scales, Nathan; Tanwani, Ajay; Cole-Lewis, Heather; Pfohl, Stephen; Payne, Perry; Seneviratne, Martin; Gamble, Paul; Kelly, Chris; Babiker, Abubakr (agosto de 2023). "Los grandes modelos de lenguaje codifican el conocimiento clínico" . Nature . 620 ( 7972): 172– 180. Bibcode : 2023Natur.620..172S . doi : 10.1038/s41586-023-06291-2 . ISSN 1476-4687 . PMC 10396962. PMID 37438534 .   
  • Centro de Excelencia en Tecnología del Lenguaje Humano de la Universidad Johns Hopkins
  • Instituto de Tecnologías del Lenguaje de la Universidad Carnegie Mellon
  • Instituto de Lingüística Aplicada (IULA) de la Universitat Pompeu Fabra. Barcelona, ​​España
  • Laboratorio de Tecnología del Lenguaje del Centro Alemán de Investigación en Inteligencia Artificial (DFKI).
  • CLT: Centro de Tecnología del Lenguaje en Gotemburgo, Suecia. Archivado el 10 de abril de 2017 en Wayback Machine.
  • El Centro de Tecnologías del Habla y el Lenguaje (CSaLT) de la Universidad de Ciencias de la Gestión de Lahore (LUMS)
  • Asociación de Globalización y Localización (GALA)
  • ScriptSource, una referencia a los sistemas de escritura del mundo y a las necesidades que aún existen para darles soporte en el ámbito informático.
  • El desarrollo de las Tecnologías de Lenguaje de Alto Rendimiento (HPLT, por sus siglas en inglés) está financiado por la Comisión Europea.

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