Bilingual hr-en parallel corpus from the Journal of the Croatian Association of Civil Engineers website (Processed)

The dataset was created for the European Language Resources Coordination Action (ELRC) (http://lr-coordination.eu/) by ELRC Consortium partner, ILSP/R.C. "Athena" (https://www.athena-innovation.gr/) from the website of the Journal of the Croatian Association of Civil Engineers website (http://www.casopis-gradjevinar.hr) and is licensed under "CC-BY 4.0" (https://creativecommons.org/licenses/by/4.0/).
The dataset was created for the European Language Resources Coordination Action (ELRC) (http://lr-coordination.eu/) by ELRC Consortium partner, ILSP/R.C. "Athena" (https://www.athena-innovation.gr/) from the website of the Journal of the Croatian Association of Civil Engineers website (http://www.casopis-gradjevinar.hr) and is licensed under "CC-BY 4.0" (https://creativecommons.org/licenses/by/4.0/).
The dataset was created for the European Language Resources Coordination Action (ELRC) (http://lr-coordination.eu/) by ELRC Consortium partner, ILSP/R.C. "Athena" (https://www.athena-innovation.gr/) from the website of the Journal of the Croatian Association of Civil Engineers website (http://www.casopis-gradjevinar.hr) and is licensed under "CC-BY 4.0" (https://creativecommons.org/licenses/by/4.0/).
The dataset was created for the European Language Resources Coordination Action (ELRC) (http://lr-coordination.eu/) by ELRC Consortium partner, ILSP/R.C. "Athena" (https://www.athena-innovation.gr/) from the website of the Journal of the Croatian Association of Civil Engineers website (http://www.casopis-gradjevinar.hr) and is licensed under "CC-BY 4.0" (https://creativecommons.org/licenses/by/4.0/).
732-156-538-451-4

ID:

ELRA-W0273

This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu.
Contents of http://casopis-gradjevinar.hr were crawled, aligned on document and sentence level and converted into a parallel corpus

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