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- W2805761248 abstract "In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language. The word lists used map each word to a single CEFR level, and the task consists of predicting CEFR levels for unseen words. In contrast to previous work on word-level lexical complexity, we experiment with topics as additional features and show that linking words to topics significantly increases accuracy of classification." @default.
- W2805761248 created "2018-06-13" @default.
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- W2805761248 date "2018-01-01" @default.
- W2805761248 modified "2023-10-18" @default.
- W2805761248 title "Towards Single Word Lexical Complexity Prediction" @default.
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- W2805761248 doi "https://doi.org/10.18653/v1/w18-0508" @default.
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