Part-of-Speech and Morphological Tagging of Algerian Judeo-Arabic

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A7VX7S4A8" target="_blank" >RIV/00216208:11320/22:7VX7S4A8 - isvavai.cz</a>
Result on the web
<a href="https://nejlt.ep.liu.se/article/view/4315" target="_blank" >https://nejlt.ep.liu.se/article/view/4315</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3384/nejlt.2000-1533.2022.4315" target="_blank" >10.3384/nejlt.2000-1533.2022.4315</a>

Result language
angličtina
Original language name
Part-of-Speech and Morphological Tagging of Algerian Judeo-Arabic
Original language description
Most linguistic studies of Judeo-Arabic, the ensemble of dialects spoken and written by Jews in Arab lands, are qualitative in nature and rely on laborious manual annotation work, and are therefore limited in scale. In this work, we develop automatic methods for morpho-syntactic tagging of Algerian Judeo-Arabic texts published by Algerian Jews in the 19th--20th centuries, based on a linguistically tagged corpus. First, we describe our semi-automatic approach for preprocessing these texts. Then, we experiment with both an off-the-shelf morphological tagger and several specially designed neural network taggers. Finally, we perform a real-world evaluation of new texts that were never tagged before in comparison with human expert annotators. Our experimental results demonstrate that these methods can dramatically speed up and improve the linguistic research pipeline, enabling linguists to study these dialects on a much greater scale.
Czech name
—
Czech description
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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)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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