Cross-lingual transfer learning studies how datasets, annotations, and models can be transferred from resource-rich languages to improve language technologies in resource-poor settings . Recent works have shown that we can further benefit from the selection of the best transfer language… In this paper, we propose three pragmatically-motivated features that can help guide the optimal transfer language selection problem . The proposed features operationalize cross-cultural similarities that manifest in various linguistic patterns: language context-level, sharing multi-word expressions, and the use of emotion concepts . These features significantly improve the prediction of optimal transfer languages over baselines in sentiment analysis, but are less useful for dependency parsing .

Links: PDF - Abstract

Code :

https://github.com/hwijeen/langrank

Keywords : transfer - features - language - languages - resource -

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