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The Study of Effect of Length in Morphological Segmentation of Agglutinative Languages

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10130089" target="_blank" >RIV/00216208:11320/12:10130089 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Study of Effect of Length in Morphological Segmentation of Agglutinative Languages

  • Original language description

    Morph length is one of the indicative feature that helps learning the morphology of languages, in particular agglutinative languages. In this paper, we introduce a simple unsupervised model for morphological segmentation and study how the knowledge of morph length affect the performance of the segmentation task under the Bayesian framework. The model is based on (Goldwater et al., 2006) unigram word segmentation model and assumes a simple prior distribution over morph length. We experiment this model ontwo highly related and agglutinative languages namely Tamil and Telugu, and compare our results with the state of the art Morfessor system. We show that, knowledge of morph length has a positive impact and provides competitive results in terms of overall performance.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    R - Projekt Ramcoveho programu EK

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the First Workshop on Multilingual Modeling (MM-2012)

  • ISBN

    978-1-937284-35-0

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    18-24

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

    Jeju, Korea

  • Event location

    Jeju Island, Korea

  • Event date

    Jul 13, 2012

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article