Language and Communication Technologies

Language and Communication Technologies (LCT; also known as human language technologies or language technology for short) is the scientific study of technologies that explore language and communication. It is an interdisciplinary field that encompasses the fields of computer science, linguistics and cognitive science.

History

One of the first problems to be studied in the 1950s, shortly after the invention of computers, was an LCT problem, namely the translation of human languages. The large amounts of funding poured into machine translation testifies to the perceived importance of the field, right from the beginning. It was also in this period that scholars started to develop theories of language and communication based on scientific methods. In the case of language, it was Noam Chomsky who refines the goal of linguistics as a quest for a formal description of language,[1] whilst Claude Shannon and Warren Weaver provided a mathematical theory that linked communication with information.[2]

Computers and related technologies have provided a physical and conceptual framework within which scientific studies concerning the notion of communication within a computational framework could be pursued. Indeed, this framework has been fruitful on a number of levels. For a start, it has given birth to a new discipline, known as natural language processing (NLP), or computational linguistics (CL). This discipline studies, from a computational perspective, all levels of language from the production of speech to the meanings of texts and dialogues. And over the past 40 years, NLP has produced an impressive computational infrastructure of resources, techniques, and tools for analyzing sound structure (phonology), word structure (morphology), grammatical structure (syntax) and meaning structure (semantics). As well as being important for language-based applications, this computational infrastructure makes it possible to investigate the structure of human language and communication at a deeper scientific level than was ever previously possible.

Moreover, NLP fits in naturally with other branches of computer science, and in particular, with artificial intelligence (AI).[3] From an AI perspective, language use is regarded as a manifestation of intelligent behaviour by an active agent. The emphasis in AI-based approaches to language and communication is on the computational infrastructure required to integrate linguistic performance into a general theory of intelligent agents that includes, for example, learning generalizations on the basis of particular experience, the ability to plan and reason about intentionally produced utterances, the design of utterances that will fulfill a particular set of goals. Such work tends to be highly interdisciplinary in nature, as it needs to draw on ideas from such fields as linguistics, cognitive psychology, and sociology. LCT draws on and incorporates knowledge and research from all these fields.

Today

Language and communication are so fundamental to human activity that it is not at all surprising to find that Language and Communication Technologies affect all major areas of society, including health, education, finance, commerce, and travel. Modern LCT is based on a dual tradition of symbols and statistics. This means that nowadays research on language requires access to large databases of information about words and their properties, to large scale computational grammars, to computational tools for working with all levels of language, and to efficient inference systems for performing reasoning. By working computationally it is possible to get to grips with the deeper structure of natural languages, and in particular, to model the crucial interactions between the various levels of language and other cognitive faculties.

Relevant areas of research in LCT include:

Educational programs

The increasing interest in the field is proved by the existence of several European Masters in this dynamic research area:[4] Degree programmes of the University of Groningen include Language and Communication Technologies.

Erasmus Mundus Masters:

  • European Masters Program in Language and Communication Technologies https://lct-master.org/
  • International Masters in NLP and HLT
  • European Master in Clinical Linguistics
gollark: https://github.com/harieamjari/dquote
gollark: Not well.
gollark: https://hackaday.com/2022/03/19/these-mind-controlled-cat-ears-move-with-your-mood/
gollark: As if it's possible to detect those without GTech™ technology.
gollark: Controlled using a clever eye-tracker input.

References
  1. Noam Chomsky, Syntactic Structures, London: Mouton, 1957.
  2. A Mathematical Theory of Communication. Cm.bell-labs.com (1998-05-18). Retrieved on 2011-03-21. Archived 1998-01-31 at the Wayback Machine
  3. AITopics / NaturalLanguage. Aaai.org. Retrieved on 2011-03-21. Archived 2008-07-31 at the Wayback Machine
  4. Erasmus Mundus – Action 1 – Erasmus Mundus Masters Courses (EMMCs) | EACEA. Eacea.ec.europa.eu. Retrieved on 2011-03-21.
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