FinnTransFrame : translating frames in the FinnFrameNet project

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Pysyväisosoite

http://hdl.handle.net/10138/266770

Lähdeviite

Lindén , K , Haltia , H , Laine , A , Luukkonen , J , Piitulainen , J & Väisänen , N 2019 , ' FinnTransFrame : translating frames in the FinnFrameNet project ' , Language Resources and Evaluation , vol. 53 , no. 1 , pp. 141-171 . https://doi.org/10.1007/s10579-018-9434-y

Julkaisun nimi: FinnTransFrame : translating frames in the FinnFrameNet project
Tekijä: Lindén, Krister; Haltia, Heidi; Laine, Antti; Luukkonen, Juha; Piitulainen, Jussi; Väisänen, Niina
Muu tekijä: University of Helsinki, Centre of Excellence in Ancient Near Eastern Empires (ANEE)
University of Helsinki, Department of Modern Languages 2010-2017
University of Helsinki, Doctoral Programme in Language Studies
University of Helsinki, Department of Modern Languages 2010-2017
University of Helsinki, Department of Digital Humanities
University of Helsinki, Department of Finnish, Finno-Ugrian and Scandinavian Studies
Päiväys: 2019
Kieli: eng
Sivumäärä: 31
Kuuluu julkaisusarjaan: Language Resources and Evaluation
ISSN: 1574-0218
URI: http://hdl.handle.net/10138/266770
Tiivistelmä: The article details the formational process of the FinnTransFrame corpus, a part of the FinnFrameNet project. In addition to a large annotated frame semantic corpus of natural language examples, the project created a separate corpus of examples translated from English to Finnish. The research question when creating the FinnTransFrame corpus was to see to what extent the various frames of the original Berkeley FrameNet transfer into Finnish in translated examples, i.e. what are the main problems and how can they be categorized? A variety of Berkeley FrameNet examples were chosen from different frames and then translated by professionals. The FinnFrameNet annotation team checked all the examples and their translations to see if the frames remained intact in translation. Problematic examples were tagged according to the type of the encountered problem, with the main focus on the type of fine-grained mismatches of meaning that caused frame changes even when the translation was the best possible one. The frame-loss amounted to 4.2% of the 88,209 relevant example sentences. Filtering out sentences with other types of problems, we found that 88.1% of all the frame instances still translated into Finnish with their frame intact. In addition, the article analyzes the error types in the problematic frames.
Avainsanat: 6121 Languages
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