چکیده مقاله
The purpose of this research is identifying and prioritizing the challenges of artificial intelligence in the translation industry In terms of purpose, this research is an applied research, in terms of research method, it is a qualitative quantitative research, and in terms of data collection method, it is a survey exploratory type, and in terms of collection, it is a cross sectional type In order to identify the challenges and sub challenges, the researcher first examined the background of the research and interviewed experts and identified the factors that played a role in general The statistical population includes 30 professors in the field of artificial ejaculation and English translation with a doctorate degree in Tehran, who are knowledgeable about the topic of the research Due to the small size of the population, the same number was chosen as the sample size and the sampling method is the whole number The required data were collected using the interview questionnaire of paired comparisons In relation to research background and interviews with experts, criteria such as Non cooperation of people in order to improve the translation by providing suggestions and editing, software, slow progress in artificial intelligence, lack of evaluation system, lack of specialization, Reduced investment in artificial intelligence, Use of limited data resources, Elimination of human translation was excluded With the help of experts, these criteria were categorized into three options: human factors, factors related to artificial intelligence, and factors related to structure and strategy The mentioned questionnaire was designed with 8 criteria sub indicators or sub challenges in the form of 3 variables indicators or challenges In this research, the validity of the questionnaire was confirmed by experts After the final approval of the indicators and the design of the paired comparisons questionnaire, the inconsistency rate was 0/08 that it shows the reliability of the questionnaire In this section, to examine the questions, the Vikor method and the BEHIN TASMIM software were used for weighting and prioritizing the variables The results showed that among the options challenges , the factor related to artificial intelligence with 0/7105 the factor related to structure and strategy with 0/5 and the human factor with 0/4371 respectively, they were assigned the most importance among the challenges of artificial intelligence in the translation industry Among the criteria sub challenges the Non cooperation of people in order to improve the translation by providing suggestions and editing, Use of limited data resources, software, elimination of human translation, lack of specialization, slow progress in artificial intelligence, lack of evaluation system and Reduced investment in artificial intelligence are more important respectively
کلیدواژهها
نویسندگان
Avisa Allahyari
۱۲th year high school student, language major, Istanbul, Turkey
شیوه ارجاع
Allahyari, Avisa,1401,Identifying and prioritizing artificial intelligence challenges in the translation industry,6th International Conference on Education Science, Psychology, Counseling, Education and Research,Tehran
ارائهشده در
مجموعه مقالات ششمین کنفرانس بین المللی علوم تربیتی، روانشناسی، مشاوره، آموزش و پژوهش30 بهمن 1401 · تهران