izpis_h1_title_alt

Napovedovanje naglasa slovenskih besed z metodami strojnega učenja
Krsnik, Luka (Author), Robnik Šikonja, Marko (Mentor) More about this mentor... This link opens in a new window, Šef, Tomaž (Co-mentor)

.pdfPDF - Presentation file, Download (575,51 KB)

Abstract
Za naglaševanje slovenskih besed ne obstaja preprost algoritem, naglasa slovenskih besed se namreč govorci naučimo med njihovim spoznavanjem. Metode strojnega učenja so se pri naglaševanju izkazale za uspešne. V magistrski nalogi smo na problemu preizkusili globoke nevronske mreže. Testirali smo različne arhitekture nevronskih mrež, več različnih predstavitev podatkov in ansamble mrež. Najboljše rezultate je vrnil ansambelski pristop, ki je pravilno napovedal 87,62 % besed iz testne množice. S predlaganim pristopom smo za več odstotkov izboljšal rezultate drugih metod strojnega učenja.

Language:Slovenian
Keywords:umetna inteligenca, strojno učenje, globoke nevronske mreže, procesiranje naravnega jezika, naglaševanje
Work type:Master's thesis/paper (mb22)
Organization:FRI - Faculty of computer and information science
Year:2017
Views:783
Downloads:574
Metadata:XML RDF-CHPDL DC-XML DC-RDF
 
Average score:(0 votes)
Your score:Voting is allowed only to logged in users.
:
Share:AddThis
AddThis uses cookies that require your consent. Edit consent...

Secondary language

Language:English
Title:Prediction of stress of Slovenian words with machine learning methods
Abstract:
There is no simple algorithm for stress assignment of Slovene words. Speakers of Slovene are usually taught accents together with words. Machine learning algorithms give positive results on this problem, therefore we tried deep neural networks. We tested different architectures, data presentations and an ensemble of networks. We achieved the best results using the ensemble method, which correctly predicted 87,62 % of tested words. Our neural network approach improved results of other machine learning methods and proved to be successful in stress assignment.

Keywords:artificial inteligence, data mining, machine learning, deep neural networks, natural language processing, accentuation

Similar documents

Similar works from RUL:
Similar works from other Slovenian collections:

Comments

Leave comment

You have to log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back