Artificial Intelligences (AI) in Language Processing



Óscar Ferreiro Vázquez

Karl Schurster

Language technologies have the main goal of applying linguistic knowledge to the development of computer systems that are able to recognize, understand and create human language in their different shapes.

Among the products and computer services created by digitalization, that enhance and facilitate the work of translators and linguists, in this track we want to highlight the tools that allow an automated and semi-automated language processing and, therefore, are helpful for scientific research.

You can find below a brief list of possible themes we would like to discuss in this track of the Congress, but please note that: the following list is merely indicative. We are open to other original proposal related to any area of Artificial Intelligences (AI) in Language Processing. 

  • Natural Language Processing
  • Language corpus: the CEILE example
  • Syntactic, morphological and semantic analysers for natural languages
  • Text mining and ontology databases 
  • Computerized language atlases 
  • Lematizers, alienators, conjugators, bending machines and computer dictionaries
  • Phonetic and phonological treatment of language tools: voice recognition and synthesis 
  • OpenAI's ChatGPT
  • Meta's NLLB-200 (No Language Left Behind)
  • Google Translate
  • DeepL