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Quality Translation by Deep Language Engineering Approaches

Quality Translation by Deep Language Engineering Approaches is a science project.

Event research_grant eu_cordis:610516
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Key Facts

  • Start time: November 1, 2013[1]
  • End time: October 31, 2016[2]
  • Participant: Faculdade de Ciências da Universidade de Lisboa[3], Institute of Information and Communication Technologies[4], Charles University[5], German Research Center for Artificial Intelligence[6], Humboldt-Universität zu Berlin[7], University of the Basque Country[8], University of Groningen[9], eu_cordis_org:951489200[10]
  • Short name: QTLeap[11]
  • Budget: 3,972,243 euro[12]

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [1] ↑ . wikidata.org.
  2. [2] ↑ . wikidata.org.
  3. [3] ↑ . wikidata.org.
  4. [4] ↑ . wikidata.org.
  5. [5] ↑ . wikidata.org.
  6. [6] ↑ . wikidata.org.
  7. [7] ↑ . wikidata.org.
  8. [8] ↑ . wikidata.org.
  9. [9] ↑ . wikidata.org.
  10. [10] ↑ . wikidata.org.
  11. [11] ↑ . wikidata.org.
  12. [12] ↑ . wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Quality Translation by Deep Language Engineering Approaches. Retrieved October 8, 2026, from https://4ort.xyz/entity/quality-translation-by-deep-language-engineering-approaches
MLA “Quality Translation by Deep Language Engineering Approaches.” 4ort.xyz Knowledge Graph, 4ort.xyz, 8 Oct. 2026, https://4ort.xyz/entity/quality-translation-by-deep-language-engineering-approaches.
BibTeX @misc{4ortxyz_quality-translation-by-deep-language-engineering-approaches_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quality Translation by Deep Language Engineering Approaches}}, year = {2026}, url = {https://4ort.xyz/entity/quality-translation-by-deep-language-engineering-approaches}, note = {Accessed: 2026-10-08}}
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