MARINA PANTCHEVA is a polyglot with a passion for languages, data, and structure. She combined all three in her PhD research on nanosyntax. She currently works at RWS leading a multidisciplinary team that focuses on crowd localization solutions.
Is our approach to linguistic quality evaluation (LQE) flawed? Marina Pantcheva dives deep into the MQM 2.0 metrics, questioning its linearity and its inability to account for sample size variations. Drawing on linguistic theory and the nuances of human perception, this article challenges the industry norms, pushing for a more nuanced approach to translation quality metrics. Explore the intriguing disconnect between standardized metrics and actual linguistic perception in Pantcheva's in-depth analysis.
In the May issue of MultiLingual earlier this year, writer Eddie Osborne took us on an impressive journey through his language-learning experiences that span more than 10 languages from five different language families. In his piece, he discusses the effect that prior knowledge of one language can have on the acquisition of another language, concluding that the decisive factor for the success of language learning is the time and patience a learner devotes to its study.
This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Cookie settingsACCEPT
Privacy & Cookies Policy
Privacy Overview
This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.