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Moses & Treex Hybrid MT Systems Bestiary

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10335517" target="_blank" >RIV/00216208:11320/16:10335517 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.aclweb.org/anthology/W16-6401" target="_blank" >http://www.aclweb.org/anthology/W16-6401</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Moses & Treex Hybrid MT Systems Bestiary

  • Original language description

    Moses is a well-known representative of the phrase-based statistical machine translation systems family, which are known to be extremely poor in explicit linguistic knowledge, operating on flat language representations, consisting only of tokens and phrases. Treex, on the other hand, is a highly linguistically motivated NLP toolkit, operating on several layers of language representation, rich in linguistic annotations. Its main application is TectoMT, a hybrid machine translation system with deep syntax transfer. We review a large number of machine translation systems that have been built over the past years by combining Moses and Treex/TectoMT in various ways.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LM2015071" target="_blank" >LM2015071: Language Research Infrastructure in the Czech Republic</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 2nd Deep Machine Translation Workshop

  • ISBN

    978-80-88132-02-8

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    1-10

  • Publisher name

    ÚFAL MFF UK

  • Place of publication

    Praha, Czechia

  • Event location

    Lisboa, Portugal

  • Event date

    Oct 21, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article