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A Survey of Cross-lingual Word Embedding Models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10427057" target="_blank" >RIV/00216208:11320/19:10427057 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.jair.org/index.php/jair/article/view/11640" target="_blank" >https://www.jair.org/index.php/jair/article/view/11640</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Survey of Cross-lingual Word Embedding Models

  • Original language description

    Cross-lingual representations of words enable us to reason about word meaning inmultilingual contexts and are a key facilitator of cross-lingual transfer when developingnatural language processing models for low-resource languages. In this survey, we provide acomprehensive typology of cross-lingual word embedding models. We compare their datarequirements and objective functions. The recurring theme of the survey is that many ofthe models presented in the literature optimize for the same objectives, and that seeminglydifferent models are often equivalent, modulo optimization strategies, hyper-parameters,and such. We also discuss the different ways cross-lingual word embeddings are evaluated,as well as future challenges and research horizons.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • 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

    2019

  • Confidentiality

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