首页|Yerevan State University Researcher Publishes New Data on Machine Translation (Lost in 'Transl-Hation': Exploring the Impact of Machine Translation as an Intermediary Tool in Detecting Armenian Hate Speech)
Yerevan State University Researcher Publishes New Data on Machine Translation (Lost in 'Transl-Hation': Exploring the Impact of Machine Translation as an Intermediary Tool in Detecting Armenian Hate Speech)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on machine translation is now available. According to news originatingfrom Yerevan State University by NewsRx correspondents, research stated, “As the pervasive spread of hate speech continues to pose significant challenges to online communities, detecting, and countering hatefulcontent on social media has become a priority.”Our news reporters obtained a quote from the research from Yerevan State University: “Social mediaplatforms typically use machine translation to identify the hateful content of the posts made in languagesother than English. If this approach works effectively in identifying explicit hateful content in languagesthat are predominantly used on social media, its effect is almost insignificant when it comes to Armenian.The present research investigates the effectiveness of machine translation as an intermediary tool in accuratelyidentifying and addressing instances of Armenian hate speech posts retrieved from social networkingwebsites.”
Yerevan State UniversityEmerging TechnologiesMachine LearningMachine Translation
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