Finding statistically motivated features influencing subtree alignment performance

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dc.contributor.authorKotzé, Gideon
dc.contributor.editorPedersen, Bolette Sandford
dc.contributor.editorNešpore, Gunta
dc.contributor.editorSkadiņa, Inguna
dc.date.accessioned2023-09-22T12:54:21Z
dc.date.available2023-09-22T12:54:21Z
dc.date.issued2011
dc.identifier.issnISSN 1736-6305 (Online)
dc.identifier.urihttps://hdl.handle.net/10062/92829
dc.language.isoeng
dc.publisherRiga, Latvia, Northern European Association for Language Technology (NEALT), pp. 332--335
dc.relation.ispartofProceedings of the 18th Nordic Conference of Computational Linguistics (NODALIDA 2011)
dc.rightsopenAccessen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Estonia*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/ee/*
dc.titleFinding statistically motivated features influencing subtree alignment performanceen
dc.typeArticleen

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Proceedings of the 18th Nordic Conference of Computational Linguistics (NODALIDA 2011)