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CUNI-Malta system at CoNLL-SIGMORPHON 2019 Shared Task on Morphological Analysis and Lemmatization in context: Operation-based word formation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10405559" target="_blank" >RIV/00216208:11320/19:10405559 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.aclweb.org/anthology/W19-4213/" target="_blank" >https://www.aclweb.org/anthology/W19-4213/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    CUNI-Malta system at CoNLL-SIGMORPHON 2019 Shared Task on Morphological Analysis and Lemmatization in context: Operation-based word formation

  • Original language description

    This paper presents the submission by the Charles University-University of Malta team to the CoNLL--SIGMORPHON 2019 Shared Task on Morphological Analysis and Lemmatization in context. We present a lemmatization model based on previous work on neural transducers cite{makarov2018neural,aharoni-goldberg-2017-morphological}. The key difference is that our model transform the whole word form in every stem, instead of consuming it character by character. We propose a merging strategy inspired by Byte-Pair-Encoding that reduces the space of valid operations by merging frequent adjacent operations. The resulting operations not only encode the action/s to be performed but the relative position in the word token and how characters need to be transformed. Our morphological tagger is a vanilla biLSTM tagger that operates over operation representations, encoding operations and words in a hierarchical manner. Even though relative performance according to metrics is below the baseline, experiments show that our mod

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • 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 16th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology

  • ISBN

    978-1-950737-36-9

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    104-112

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

    Stroudsburg, PA, USA

  • Event location

    Firenze, Italy

  • Event date

    Aug 2, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article