title: Ð¡ÑÐ°Ð²Ð½Ð¸ÑÐµÐ»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð»ÐµÐºÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð¾ÑÐ¸Ð±Ð¾Ðº Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¿ÐµÑÐµÐ²Ð¾Ð´Ð° Ð¿ÑÐ±Ð»Ð¸ÑÐ¸ÑÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð¸ Ð½Ð°ÑÑÐ½Ð¾-ÑÐµÑ Ð½Ð¸ÑÐµÑÐºÐ¸Ñ ÑÐµÐºÑÑÐ¾Ð²
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Comparative analysis of lexical errors in machine translation of journalistic and scientific-technical texts
Creators: name: ÐÐ¾ÑÐºÐ¾Ð²ÑÐºÐ°Ñ, ÐÑÐµÐ½Ð¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: Ð¼Ð°ÑÐ¸Ð½Ð½ÑÐ¹ Ð¿ÐµÑÐµÐ²Ð¾Ð´
Ð¿ÑÐ±Ð»Ð¸ÑÐ¸ÑÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð¸ Ð½Ð°ÑÑÐ½Ð¾-ÑÐµÑ Ð½Ð¸ÑÐµÑÐºÐ¸Ðµ ÑÐµÐºÑÑÑ
Ð»ÐµÐºÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð¾ÑÐ¸Ð±ÐºÐ¸
Ð¿Ð¾ÑÑÑÐµÐ´Ð°ÐºÑÐ¸Ð²Ð°Ð½Ð¸Ðµ
machine translation
journalistic and scientific-technical texts
lexical errors
post-editing

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸Ð·ÑÑÐµÐ½Ð¸Ñ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÐµÐ¹ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¿ÐµÑÐµÐ²Ð¾Ð´Ð°. ÐÐ°Ð´Ð°ÑÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ Ð±ÑÐ»Ð¸ ÑÐµÑÐµÐ½Ñ Ð² ÑÐ¾Ð´Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: 1. ÑÐ°ÑÐºÑÑÑÑ Ð¿Ð¾Ð½ÑÑÐ¸Ðµ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¿ÐµÑÐµÐ²Ð¾Ð´Ð° (ÐÐ) Ð¸ Ð¾Ð¿ÑÐµÐ´ÐµÐ»Ð¸ÑÑ ÐµÐ³Ð¾ ÑÐ¾Ð»Ñ Ð² ÑÐ¾-Ð²ÑÐµÐ¼ÐµÐ½Ð½Ð¾Ð¹ Ð¸Ð½Ð´ÑÑÑÑÐ¸Ð¸ Ð¿ÐµÑÐµÐ²Ð¾Ð´Ð¾Ð²; 2. Ð¿ÑÐ¾Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°ÑÑ Ð»ÐµÐºÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð¾ÑÐ¾Ð±ÐµÐ½Ð½Ð¾ÑÑÐ¸ Ð¿ÑÐ±Ð»Ð¸ÑÐ¸ÑÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð¸ Ð½Ð°ÑÑÐ½Ð¾-ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ñ ÑÐµÐºÑÑÐ¾Ð²; 3. Ð¸Ð·ÑÑÐ¸ÑÑ Ð¿ÑÐ¾ÑÐµÑÑ Ð¿Ð¾ÑÑÑÐµÐ´Ð°ÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÐÐ ÐºÐ°Ðº ÑÑÐ°Ð¿ Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÐµÐ³Ð¾ ÐºÐ°ÑÐµ-ÑÑÐ²Ð°; 4. Ð¾Ð¿Ð¸ÑÐ°ÑÑ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐµ Ð²Ð¸Ð´Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð»ÐµÐºÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð¾ÑÐ¸Ð±Ð¾Ðº ÐÐ 5. ÑÑÐ°Ð²Ð½Ð¸ÑÑ ÐºÐ°ÑÐµÑÑÐ²Ð¾ Ð¿ÐµÑÐµÐ²Ð¾Ð´Ð° ÑÐ¸ÑÑÐµÐ¼ Google, PROMT Ð¸ Yandex. ÐÑÐ»Ð¸ Ð¸Ð·ÑÑÐµÐ½Ñ ÑÐµÐ¾ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð¼Ð°ÑÐµÑÐ¸Ð°Ð»Ñ Ð¿Ð¾ ÑÐµÐ¼Ðµ Ð»Ð¸Ð½Ð³Ð²Ð¸ÑÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð°ÑÐ¿ÐµÐºÑÐ¾Ð² Ð°Ð½Ð³Ð»Ð¸Ð¹ÑÐºÐ¾Ð³Ð¾ Ð¸ ÑÑÑÑÐºÐ¾Ð³Ð¾ ÑÐ·ÑÐºÐ¾Ð² Ð¸ Ð»ÐµÐºÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð¾ÑÐ¾Ð±ÐµÐ½Ð½Ð¾ÑÑÐµÐ¹ Ð¿ÑÐ±Ð»Ð¸ÑÐ¸ÑÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¸ Ð½Ð°ÑÑÐ½Ð¾-ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¾Ð³Ð¾ ÑÐµÐºÑÑÐ°. ÐÑÐ» Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð¿ÐµÑÐµÐ²Ð¾Ð´ÑÐµÑÐºÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð²Ð°ÑÐ¸Ð°Ð½ÑÐ¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¿ÐµÑÐµÐ²Ð¾Ð´Ð° Ð½Ð°ÑÑÐ½Ð¾-ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ñ Ð¸ Ð¿ÑÐ±Ð»Ð¸ÑÐ¸ÑÑÐ¸ÑÐµÑÐºÐ¸Ñ ÑÐµÐºÑÑÐ¾Ð² Ð¾Ñ ÑÑÐµÑ ÑÐ¸ÑÑÐµÐ¼ - Google, PROMT Ð¸ Yandex, Ð½Ð° Ð¿ÑÐµÐ´Ð¼ÐµÑ Ð½Ð°Ð»Ð¸ÑÐ¸Ñ Ð»ÐµÐºÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð¾ÑÐ¸Ð±Ð¾Ðº. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð±ÑÐ»Ð¾ ÑÑÑÐ°Ð½Ð¾Ð²Ð»ÐµÐ½Ð¾, ÑÑÐ¾ ÑÑÐ¾ ÑÐ¸ÑÑÐµÐ¼Ð° Yandex Ð¸Ð¼ÐµÐµÑ Ð½Ð°Ð¸Ð»ÑÑÑÑÑ Ð»ÐµÐºÑÐ¸ÑÐµÑÐºÑÑ ÑÐ¾ÑÐ½Ð¾ÑÑÑ ÑÑÐµÐ´Ð¸ ÑÑÐµÑ ÑÐ¸ÑÑÐµÐ¼ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¿ÐµÑÐµÐ²Ð¾Ð´Ð° Ð´Ð»Ñ Ð½Ð°ÑÑÐ½Ð¾-ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ñ Ð¸ Ð¿ÑÐ±Ð»Ð¸ÑÐ¸ÑÑÐ¸ÑÐµÑÐºÐ¸Ñ ÑÐµÐºÑÑÐ¾Ð². ÐÐµ-ÑÐ¼Ð¾ÑÑÑ Ð½Ð° ÑÑÐ¾, Ð²ÑÐµ ÑÑÐ¸ ÑÐ¸ÑÑÐµÐ¼Ñ Ð´Ð¾Ð¿ÑÑÐºÐ°ÑÑ Ð¾ÑÐ¸Ð±ÐºÐ¸, Ð¸ÑÐºÐ°Ð¶Ð°ÑÑÐ¸Ðµ Ð¸ Ð½ÐµÐ¸ÑÐºÐ°Ð¶Ð°ÑÑÐ¸Ðµ ÑÐ¼ÑÑÐ», ÑÑÐ¾ Ð¿Ð¾Ð´ÑÐµÑÐºÐ¸Ð²Ð°ÐµÑ Ð²Ð°Ð¶Ð½Ð¾ÑÑÑ ÑÑÑÐ½Ð¾Ð¹ Ð¿ÑÐ¾Ð²ÐµÑÐºÐ¸ Ð¸ Ð¿Ð¾ÑÑÑÐµÐ´Ð°ÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¼Ð°ÑÐ¸Ð½Ð½ÑÑ Ð¿ÐµÑÐµÐ²Ð¾Ð´Ð¾Ð².
description: The given work is devoted to studying the potential of machine translation. The research set the following goals: 1. Explore the concept of machine translation (MT) and define its role in the modern translation industry; 2. Analyze lexical features of journalistic and scientific-technical texts; 3. Identify the main types of existing lexical errors in machine translation Study post-editing of MT; 4. Compare translation quality of Google, PROMT and Yandex systems. The theoretical materials on the topic of linguistic aspects of the English and Russian languages and lexical features of the journalistic and scientific-technical texts were studied. Translation analysis of the machine translation versions of journalistic and scientific-technical texts from three systems - Google, PROMT and Yandex - has been carried out in terms of the presence of lexical errors. As a result of the conducted research, it was found that the Yandex system has the best lexical accuracy among the three machine translation systems for the scientific, technical and journalistic texts. In spite of this, all three systems have errors that distort and do not distort the meaning, which emphasises the importance of manual checking and post-editing of machine translations.