رؤیا رنجبر

Lexical inferencing is one of the most important strategies in vocabulary learning and it plays an important role in dealing with unknown words in a text. In this regard, the aim of this study was to determine the lexical inferencing strategies used by Iranian EFL learners when they encounter unknown words at both text and sentence levels. To this end, forty lower intermediate students were divided into two groups. For the first group, a text with 10 underlined words was given and for the second group, the same underlined words were given in separate sentences. The students were supposed to read the text and the sentences and to guess the meaning of the underlined words. Then some lexical inferencing strategies were given to them to determine which strategies they used in guessing the meaning of unknown words. The results showed that they used different strategies like using local context and word association in lexical inferencing and also they were more successful at the text level than the sentence one. The results also indicated that they were strategic learners using their own strategies including translation and cultural background knowledge to guess the meaning of the unknown words.

Translation quality assessment with its focus on the formulation of a comprehensive model for translation evaluation has gained a growing interest in the field of translation studies. However, little attention has been paid to the use of linguistic theories in the evaluative judgment of a translation. The aim of this study was to apply a particular kind of linguistic analysis based on systemic functional linguistics (SFL) as a framework for the translation quality assessment of a novel. Meanwhile, it aimed to identify the kinds of overt errors and the used translation strategies in English to Persian. To this end, thirty pages of The Sound and The Fury by Faulkner (1329) and its translation by Bahman Sholevar (2003) were selected and the mismatches across the three metafunctions of ideational, interpersonal, and thematic meanings were identified based on SFL. The comparison of the source text (ST) and the target text (TT) revealed that the ideational meaning had the greatest number of errors as produced by the translator. Moreover, omission constituted the largest kind of overt translation error. Thus, the translator mostly used reduction strategies and text expansion strategies in translating the ST. The results showed that SFL can successfully be applied to evaluate the correct translation of the three metafunctions of language. This study has important implications for syllabus designers of translation studies, translation teachers, and literary translators.