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
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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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
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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
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EID of the result in the Scopus database
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