What about translation? New coding system for content analysis on the perception of literary translation around the political transformation in 1989 in Hungary as a classificat
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To track trends in the perception of literary translation around the political transformation in 1989 in Hungary, a coding system was developed on the paragraphs of the 1980-1999 issues of the literary journal Alföld. This paper describes how we trained BERT models to carry over the coding system to the 1980-1999 issues of the literary journal Nagyvilág. We use extensive hyperparameter tuning, loss functions robust to label unbalance, 10-fold cross-validation for precise evaluations and a model ensemble for prediction, manual validation on the predict set, a new calibration method to better predict label counts for sections of the Nagyvilág corpus, and to study the relations between labels, we construct label relation networks.
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