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In-depth evaluation of Romanian natural language processing pipelines

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A90101%2F21%3A10441616" target="_blank" >RIV/00216208:90101/21:10441616 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=4EPuFfhHFg" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=4EPuFfhHFg</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    In-depth evaluation of Romanian natural language processing pipelines

  • Original language description

    With the increased size of Universal Dependencies tree banks, several basic language processing kits (BLARK) for multiple languages appeared in recent years, indicating improved performances on different languages. Nevertheless, published results are not directly comparable for the Romanian language since different tools make use of different Universal Dependencies versions and different additional resources, such as pre-trained word embeddings. In this paper, we re-train several state-of-the-art tools for processing Romanian language by using a common methodology comprising of training and evaluating on the same version of RoRefTrees corpus and using the same pre-trained word embeddings from the representative corpus of contemporary Romanian language (CoRoLa). Furthermore, we also explore the capabilities of the trained models when faced with unseen text from a different domain. For this purpose, we further test the resulting model on the SiMoNERo corpus. We employ different metrics to assess the performance on operations like tokenization, sentence splitting, lemmatization, part-of-speech tagging and dependency parsing.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • 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

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Romanian Journal of Information Science and Technology

  • ISSN

    1453-8245

  • e-ISSN

  • Volume of the periodical

    24

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    RO - ROMANIA

  • Number of pages

    18

  • Pages from-to

    384-401

  • UT code for WoS article

    000731880700004

  • EID of the result in the Scopus database