All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Reading Comprehension in Czech via Machine Translation and Cross-lingual Transfer

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10415122" target="_blank" >RIV/00216208:11320/20:10415122 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11320/20:10424477

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-030-58323-1_18" target="_blank" >https://doi.org/10.1007/978-3-030-58323-1_18</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-58323-1_18" target="_blank" >10.1007/978-3-030-58323-1_18</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Reading Comprehension in Czech via Machine Translation and Cross-lingual Transfer

  • Original language description

    Reading comprehension is a well studied task, with huge training datasets in English. This work focuses on building reading comprehension systems for Czech, without requiring any manually annotated Czech training data. First of all, we automatically translated SQuAD 1.1 and SQuAD 2.0 datasets to Czech to create training and development data, which we release at http://hdl.handle.net/11234/1-3249. We then trained and evaluated several BERT and XLM-RoBERTa baseline models. However, our main focus lies in cross-lingual transfer models. We report that a XLM-RoBERTa model trained on English data and evaluated on Czech achieves very competitive performance, only approximately 2% points worse than a model trained on the translated Czech data. This result is extremely good, considering the fact that the model has not seen any Czech data during training. The cross-lingual transfer approach is very flexible and provides a reading comprehension in any language, for which we have enough monolingual raw texts.

  • 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

    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

  • Article name in the collection

    Text, Speech, and Dialogue. TSD 2020

  • ISBN

    978-3-030-58322-4

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    171-179

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Brno

  • Event date

    Sep 8, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article