Cross Lingual Transfer Learning for Complex Word Identification

Complex Word Identification (CWI) is a task centered on detecting hard-to-understand words, or groups of words, in texts from different areas of expertise . The purpose of CWI is to highlight problematic structures that non-native speakers would usually find difficult to understand . Our approach surpasses state-of-the-art cross-lingual results in terms of macro F1-score on English (0.774) languages, for the zero-shot learning scenario . Our aim is to provide evidence that the proposed models can learn the characteristics of complex words in a multilingual environment by relying on the CWI shared task 2018 dataset available for four languages (i.e., English, German, Spanish, and also French)

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Keywords : complex - cwi - words - cross - learning -

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