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Morphological Networks for Persian and Turkish: What Can Be Induced from Morpheme Segmentation?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10424318" target="_blank" >RIV/00216208:11320/20:10424318 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=UZrANwtlOv" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=UZrANwtlOv</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.14712/00326585.007" target="_blank" >10.14712/00326585.007</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Morphological Networks for Persian and Turkish: What Can Be Induced from Morpheme Segmentation?

  • Original language description

    In this work, we propose an algorithm that induces morphological networks for Persian and Turkish. The algorithm uses morpheme-segmented lexicons for the two languages. The resulting networks capture both derivational and inflectional relations. The network induction algorithm can use either manually annotated lists of roots and affixes, or simple heuristics to distinguish roots from affixes. We evaluate both variants empirically. We use our large hand-segmented set of word forms in the experiments with Persian, which is contrasted with employing only a very limited manually segmented lexicon for Turkish that existed previously. The network induction algorithm uses gold segmentation data for initializing the networks, which are subsequently extended with additional corpus attested word forms that were unseen in the segmented data. For this purpose, we use existing morpheme-segmentation tools, namely supervised and unsupervised version of Morfessor, and (unsupervised) MorphSyn. The experimental results

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    The Prague Bulletin of Mathematical Linguistics

  • ISSN

    0032-6585

  • e-ISSN

  • Volume of the periodical

    Neuveden

  • Issue of the periodical within the volume

    115

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    23

  • Pages from-to

    105-127

  • UT code for WoS article

  • EID of the result in the Scopus database