TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Dakota, Daniel
A1  - Gilmanov, Timur
A1  - Li, Wen
A1  - Kuzma, Christopher
A1  - Kim, Evgeny
A1  - Abo Mokh, Noor
A1  - Kübler, Sandra
ED  - Candito, Marie
ED  - Choi, Jinho
ED  - Versley, Yannick
T1  - Do FreeWord Order Languages Need More Treebank Data? Investigating Dative Alternation in German, English, and Russian
T2  - Proceedings of the 6th Workshop on Statistical Parsing of Morphologically Rich Languages (SPMRL 2015). July 23rd in Bilbao, Basque Country, Spain
N2  - We investigate whether non-configurational languages, which display more word order variation than configurational ones, require more training data for a phenomenon to be parsed successfully. We perform a tightly controlled study comparing the dative alternation for English (a configurational language), German, and Russian (both non-configurational). More specifically, we compare the performance of a dependency parser when only canonical word order is present with its performance on data sets when all word orders are present. Our results show that for all languages, canonical data not only is easier to parse, but there exists no direct correspondence between the size of training sets containing free(er) word order variation and performance.
KW  - Deutsch
KW  - Russisch
KW  - Englisch
KW  - Treebanks
KW  - Wortstellung
KW  - Syntaktische Analyse
KW  - Dativ
Y1  - 2015
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-61847
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-61847
UR  - http://www.spmrl.org/accepted2015.html
SP  - 14
EP  - 20
ER  -