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Title:
Generiranje besedila s pomočjo umetne inteligence : diplomsko delo
Authors:
ID
Lipar, Tadej
(
Author
)
ID
Karakatič, Sašo
(
Mentor
)
More about this mentor...
Files:
VS_Lipar_Tadej_2019.pdf
(1,35 MB)
MD5: BAB8CE2FA00E7B227584268B3578CF10
PID:
20.500.12556/dkum/d7072087-35bb-4ef5-a37c-2bfd9c3901ab
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V diplomski nalogi smo pregledali delovanje ter učinkovitost generiranja besedila z umetno inteligenco na več načinov. Dandanes računalniki generirajo vedno več besedila za prikaz človeku in ta besedila morajo biti čim bolj podobna človeku. S tem se sprosti človeško delo, katero se lahko uporabi za bolj kompleksno delo. S pomočjo grafov smo ugotovili, da je v tem primeru bolje uporabiti Markov model kot pa nevronsko mrežo. Generiranje besedila z računalnikom se najpogosteje uporablja za generiranje člankov v novinarstvu.
Keywords:
generiranje besedila
,
Markov model
,
nevronska mreža
Place of publishing:
Maribor
Place of performance:
Maribor
Publisher:
[T. Lipar]
Year of publishing:
2019
Number of pages:
42 f.
PID:
20.500.12556/DKUM-74279
UDC:
004.777(043.2)
COBISS.SI-ID:
22835734
NUK URN:
URN:SI:UM:DK:6IPRAYME
Publication date in DKUM:
11.11.2019
Views:
1279
Downloads:
134
Metadata:
Categories:
KTFMB - FERI
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Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:
21.08.2019
Secondary language
Language:
English
Title:
Generating text with the help of artificial intelligence
Abstract:
In this thesis we went over the working and efficiency of generating text with artificial intelligence with different methods. Nowadays computer generate more and more text meant for humans and the text must look like it was written by humans. With this the need for human written text is reduced and they can focus on more complicated work. With the help of graphs, we shoved that in this example the text generated with a Markov model is better or rather more human like than the text generated with a neural network. Generating text with computers is commonly used in reporting to generate articles.
Keywords:
generating text
,
Markov model
,
neural network
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