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Thesis topic proposal
 
András Kornai
Mathematical linguistics

THESIS TOPIC PROPOSAL

Institute: Budapest University of Technology and Economics
mathematics and computing
Doctoral School of Mathematics and Computer Sciences

Thesis supervisor: András Kornai
Location of studies (in Hungarian): Department of Algebra, Institute of Mathematics, BME
Abbreviation of location of studies: BME


Description of the research topic:

The research proposed here addresses several subjects within the study of semigroups and monoids. The main task of mathematical linguistics is to investigate the mathematical theories behind language technology algorithms such as spellchecking, speech- and optical character recognition (ASR, OCR) as well as speech synthesis, machine translation, semantic information retrieval and information extraction, etc. Because of their importance in applied work, we single out the methods based on finite automata, finite transducers, and their generalizations; machine learning of algorithms based on these; and vector-based semantic methods (semantic web, weak inferencing, glue semantics). Within formal language theory the central areas are the subregular families on the one hand, and the mildly context-sensitive classes of languages on the other. Their weighted (probabilistic) generalizations are of particular interest.

Required language skills: English
Further requirements: 
Basic knowledge of Algebra, the PhD student should like to read and learn new tools from several fields of mathematics.

Number of students who can be accepted: 1

Deadline for application: 2018-05-31


2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )