Paper: Language Transfer Hypotheses with Linear SVM Weights

ACL ID D14-1144
Title Language Transfer Hypotheses with Linear SVM Weights
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

Language transfer, the characteristic sec- ond language usage patterns caused by na- tive language interference, is investigated by Second Language Acquisition (SLA) researchers seeking to find overused and underused linguistic features. In this pa- per we develop and present a methodology for deriving ranked lists of such features. Using very large learner data, we show our method?s ability to find relevant can- didates using sophisticated linguistic fea- tures. To illustrate its applicability to SLA research, we formulate plausible language transfer hypotheses supported by current evidence. This is the first work to ex- tend Native Language Identification to a broader linguistic interpretation of learner data and address the automatic extraction of underused features on a per-native lan-...