Sökning: "david alfter"

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  1. 1. Exploring natural language processing for single-word and multi-word lexical complexity from a second language learner perspective

    Författare :David Alfter; Göteborgs universitet; []
    Nyckelord :HUMANIORA; HUMANITIES; NATURVETENSKAP; NATURAL SCIENCES; natural language processing; lexical complexity; CEFR; second language learning; machine learning; crowdsourcing;

    Sammanfattning : In this thesis, we investigate how natural language processing (NLP) tools and techniques can be applied to vocabulary aimed at second language learners of Swedish in order to classify vocabulary items into different proficiency levels suitable for learners of different levels. In the first part, we use feature-engineering to represent words as vectors and feed these vectors into machine learning algorithms in order to (1) learn CEFR labels from the input data and (2) predict the CEFR level of unseen words. LÄS MER