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pro vyhledávání: '"Johan Carlberger"'
Autor:
Sheri Hunnicutt, Johan Carlberger
Publikováno v:
Augmentative and Alternative Communication. 17:255-264
The goal of this project was to design and implement a new word predictor for Swedish that would suggest words that are more grammatically appropriate, thus presenting a lower cognitive load for users and saving significantly more keystrokes than the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::786ec46b181eaf6371edd3e1b7569419
https://doi.org/10.1080/aac.17.4.255.264
https://doi.org/10.1080/aac.17.4.255.264
Autor:
Johan Carlberger, Viggo Kann
Publikováno v:
Software: Practice and Experience. 29:815-832
An efficient implementation of a part-of-speech tagger for Swedish is described. The stochastic tagger uses a well-established Markov model of the language. The tagger tags 92 per cent of unknown words correctly and up to 97 per cent of all words. Se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abb664446cb65b15e9dd96147deeb6ff
https://doi.org/10.1002/(sici)1097-024x(19990725)29:9<815::aid-spe256>3.0.co
https://doi.org/10.1002/(sici)1097-024x(19990725)29:9<815::aid-spe256>3.0.co