Abstract: Cross-lingual Transfer learning (CLT) has successfully been applied to the dependency parsing task. This is the first work that evaluates a CLT based approach to the Constituency parsing task. Furthermore, we utilized the linguistic typology knowledge in WALS database to improve the cross-lingual transferring ability of our proposed parser.
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