id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
iberica-680	Varela Salinas, María-José; Burbat, Ruth	Google Translate and DeepL: Breaking taboos in translator training. Observational study and analysis	2023-06-07	24	.pdf	application/pdf	7476	350	52	In particular, we analyzed the types and frequencies of translation errors in MT-translated texts and compared them with those of post-edited ones, with the aim of identifying and classifying error tendencies and transferring this knowledge to students. In this research, we classified translation errors into the following categories: pragmatics grammar equivalence (understanding the original text and choosing an equivalent expression or conveying the same idea/function in the target text) spelling lexicon/terminology style culture Although different error classifications can be used, these categories were the most suitable ones for a comparison with the results of our above- mentioned study (Varela Salinas, 2006, pp. 189-203).	cache/iberica-680.pdf	txt/iberica-680.txt