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Language Technology
Led by: Timo Honkela (Aalto University) and Krister Lindén (University of Helsinki)

The Language Technology sub-programme is multidisciplinary, as a reflection of the subject itself. At the core of language technology is the computer modelling of natural language, giving rise to a variety of applied research topics. These include the development of natural language parsing methods for the recognition of natural languages, as well as the generation of natural languages (in principle, natural languages cover all human languages, whether written, spoken or signed).

Language technology (previously referred to as computational linguistics) involves the modelling of language recognition and generation, as well as modelling language structure, function and development, for example through syntactic analysis, computational models of grammar, computer-based lexicons and the methods for their generation.

Applied research topics include:

  • tools for writers, such as spell check, hyphenation and grammar check
  • information retrieval, information extraction, document indexing and term recognition within running text
  • machine translation and other translation tools
  • interfaces in natural languages where a person communicates with a computer (either by speaking or writing) and the related dialogue studies
  • computer-assisted language learning, where the structure/grammar of the target language has been modelled on the computer or where the learning materials are derived and refined by language technological means.
  • speech synthesis and speech recognition methods that take account of the essentials of a language


Not all language-related computational applications are actually language technological. In word processing, for example, the writer writes in a language –which the programs process and save–without the word-processing program being considered a language technological application. Only functions such as a grammar check, which models grammar and dictionary information, is language technology proper. A language-learning program could equally well be like an audio and/or a video recorder in its essentials, with no dependence on any functioning information as such or modelling of linguistic structures. The point at which the application becomes language technological is when information on the functions and structure of the language is incorporated in the program and the program can guide the learner in the right direction.

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