The (Hopefully Near) Future of Language Technologies
Author(s) -
Gábor Prószéky
Publication year - 2011
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2011.12.006
Subject(s) - computer science , human language , language technology , natural language processing , language model , artificial intelligence , data science , natural language , linguistics , comprehension approach , philosophy
Human Language Technologies use two main paradigms: rules and statistical models. Rule-based methods are more traditional, statistical tools relying on huge textual and spoken corpora are considered rather modern. Both are, however, sequential methods. The first elements of parallel processing are available today. The (near) future's language technology should rely on parallel language processing, as human brain works in a parallel way, as well
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