Open Vocabulary Model for Kazakh Language using Deep Neural Networks

dc.contributor.authorSultanova N.Zh.
dc.date.accessioned2024-11-27T10:15:40Z
dc.date.available2024-11-27T10:15:40Z
dc.date.issued2021
dc.description.abstractAssessment of the current state of the scientific and technological problem being solved. For the past 25 years there has been a demand for software solutions related to text processing, which has repeatedly experienced periods of growth, related to the emergence of personal computers, and with the rapid development of the Internet, and the rapid development of the Internet, and, In this natural language remains the most important way of communication, be the input of the search query on the miniature screen of the mobile phone, hints of the car navigator or business correspondence. Practically in all such applications such or otherwise the language model is used. So, for a convenient input of texts on a mobile phone, it is necessary to use the predicate input system, which practically corresponds to the direct application of the language model; language model - an indefinite part of the system of speech recognition, including volume and vocal search; Linguistic models are used in machine translation systems, the quality of which at the moment is still far from ideal, but still grows steadily
dc.identifier.citationSultanova Nazerke / Open Vocabulary Model for Kazakh Language using Deep Neural Networks / 6D070400 – «Computer Systems and Software» / 2021
dc.identifier.urihttps://repository.sdu.edu.kz/handle/123456789/1554
dc.language.isoen
dc.publisherSuleyman Demirel University
dc.subjectneural networks
dc.subjectnatural language processing
dc.subjectlanguage models
dc.subjectPHD dissertation
dc.titleOpen Vocabulary Model for Kazakh Language using Deep Neural Networks
dc.typeThesis

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Nazerke SultanovaPhD Thesis.pdf
Size:
1.87 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
12.6 KB
Format:
Item-specific license agreed to upon submission
Description:

Collections