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Sztuczna inteligencja (SI) w badaniach lingwistycznych

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Sztuk A.
Applied Linguistics Papers
|
2018
|
issue 25/4
159-174
EN
The main purpose of the paper is both to present and to highlight the wide range of artificial intelligence appliance in linguistic research. I intend to define the so called ‘linguistic intelligence’ in the sense of machine learning, based mainly on artificial neural networks. Linguistic intelligent solutions seem to be not only up-to-date but also very promising in the area of developing and improving any intelligent linguistic tools, such as intelligent tutoring systems that are able to interact with human being, or the voice (speech) recognition systems that are able to receive, interpret (understand) and sometimes even carry out spoken commands. Finally, I intend to present the area of so called ‘terminotics’. The term refers to the meeting point of three interrelated disciplines: terminology, computational linguistics and linguistic engineering. This branch is also assisted by computer tools and new technologies based on artificial intelligence and machine learning. These (tools) are mainly designed for term extraction and corpora development but lately there are also some new possibilities to use these tools to increase the quality of terminology infrastructure as well.
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Mechanizm predykcji liniowej w zadaniu biometrycznej identyfikacji mówcy

100%
TWARÓG B., ŻESŁAWSKA E.
Edukacja-Technika-Informatyka
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2015
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vol. 6
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issue 3
271-277
PL
W artykule przedstawiono mechanizm predykcji liniowej w zadaniu biometrycznej identyfikacji mówcy. Przedstawiono zagadnienie metody opartej na predykcji liniowej LPC (linear predictive coding). Zaprezentowano otrzymane wyniki badań zaprojektowanej aplikacji.
EN
The article presents the linear prediction mechanism in the task of biometric identification speaker. The problems method based on linear prediction LPC (Linear Predictive Coding). Also the preliminary results has been presented too.
3
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Biometric data vulnerabilities : privacy implications

71%
Krausová A., Hazan H., Matejka J.
The Lawyer Quarterly
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2018
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vol. 8
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issue 3
295-306
EN
Biometric data are typically used for the purposes of unique identification of a person. However, recent research suggests that biometric data gathered for the purpose of identification can be analysed for extraction of additional information. This augments indicative value of biometric data. This paper illustrates the range of augmented indicative values of the data as well as identifies crucial factors that contribute to increased vulnerability of data subjects.
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