Title: Errors in Machine Translation from Croatian to English: a Corpus-based Approach
Abstract: A once heavily flawed method of translation, machine translation has improved and continues to improve every day. However, with the plethora of errors that machine translation systems make, machine translation is undeniably inferior to human translation. This paper analyzes a corpus of texts translated by Google Translate for different types of errors. The results show that Google Translate committed an abundance of lexical, morphosyntactic and stylistic errors, highlighting the limitations of machine translation at this time.
Publication Year: 2020
Publication Date: 2020-09-14
Language: en
Type: dissertation
Access and Citation
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot