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  1. 1. A Method for the Assisted Translation of QA Datasets Using Multilingual Sentence Embeddings

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Thomas Vakili; [2020]
    Nyckelord :Natural Language Processing NLP ; Information Retrieval IR ; Multilingual Sentence Embeddings; QADatasets; Lesser-Resourced Languages; språkteknologi; informationssökning; språkagnostiska meningsvektorer; fråga-svarskorpusar; språk med mindre resurser;

    Sammanfattning : This thesis presents a method which reduces the amount of labour required to translate the English question answering dataset SQuAD into Swedish. The purpose of the study is to contribute to shrinking the gap between natural language processing research in English and research in lesser-resourced languages by providing a method for creating datasets in these languages which are counterparts to those used in English. LÄS MER