Cross-Linguistic Near-Synonym in the Context of Machine Translation

Authors : Emrah Eriş, Yılmaz Akdemir

Pages : 270-289

Doi:10.62605/ufb.1734904

View : 63 | Download : 388

Publication Date : 2025-11-30

Article Type : Research Paper

Abstract :The present study seeks to address the emotional lexical units in the context of Turkish synonyms that fall under the categories of terms for pain, joy, and excitement, in addition to examining potential English equivalents based on two machine translation tools: Google Translate and DeepL. Additionally, the researchers sought to identify whether two distinct machine translation systems presented near-synonyms in the same way, whether machine translation algorithms considered context when translating emotive lexical units, and how DeepL and Google Translate translated emotive lexical units differently. In this case, Google Translate and DeepL were used to assess sentences from the TDK online website that covered each category and had a total word count of 25. The findings have demonstrated that the machine translation systems DeepL and Google Translate typically produce translations that are comparable, that Google Translate platform considers context more when translating synonyms, and that Google Translate also considers words that are specific to Turkish or words borrowed from Arabic, Persian, and Ottoman Turkish, whereas DeepL occasionally failed in this area. Another finding is that machine translation tools have advanced to a great level, considering near-synonym translation. It is recommended that scholars benefit from the near-synonym corpora gathered in other subjects and their detections in other language pairs and that future research assess synonyms in other fields using machine translation or in various settings.
Keywords : Eş Anlamlılık, Yakın Eş Anlamlılık, Türkçe, İngilizce, Makine Çevirisi

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