Interestingly, the textual voice features contributing to voice strength (boosters, attitude markers, and self-mentions) were different from those contributing to essay quality (hedges). The results also indicated weak correlations between textual voice and essay quality. The results suggested positive, but weak to moderate, correlations between textual voice and holistic voice strength a regression model with three textual voice features explained 26% of the variance in voice strength scores. Presented in partial fulfillment of the requirements for the completion of Strata 1 of English Language Department specialized in translation by: Rezki Lintang Anggana C11.2008. To explore the relationship between textual voice elements and holistic voice strength, as well as between voice elements and essay quality, this study analyzed 219 argumentative essays written by L1 Greek-speaking EFL students. TEXTUAL ELEMENTS AND TRANSLATION METHODS OF TOETI HERATY’S POEMS TRANSLATED BY ULRICH. For the quantification of voice elements, this study used an automated processing tool, the Authorial Voice Analyzer (AVA), which was developed based on categories from Hyland’s voice model (i.e., hedges, boosters, attitude markers, self-mentions, reader pronouns, and directives).
UL, OL, LI tags: Unordered and Ordered lists now have a TYPE attribute that controls the labeling of list. This study examined how the quantity and diversity of textual voice elements contribute to holistic voice strength and essay quality. Netscape Textual Elements and Character Entities.