Older and younger adults read aloud and answered questions about texts that did or did not have distracting material interspersed amid target text. When present, distracting material occurred in a different type font from that of target material. Across 2 experiments, distracting material was meaningless, meaningful but unrelated to the text, or meaningful and text related. Subjects were instru...

This study is the result of an attempt to investigate the differences between the Persian translated drama text (page) of each English drama text with its performance on the stage (stage) in Iran. In other words, the present researchers tried to find the implemented changes in page which make it real on the stage in the target language and culture in order to show that in drama translating and ...

Instructional analogies are commonly used in science and mathematics text, yet students may have difficulty understanding analogies in the absence of adequate instructional support. In spatially rich domains like geoscience, visual depictions of both the base and target concepts of text analogies (i.e. visual analogies) may provide crucial support for students. To test whether visual analogies ...

Stance classification, which aims at detecting the stance expressed in text towards a specific target, is an emerging problem in sentiment analysis. A major difference between stance classification and traditional aspect-level sentiment classification is that the identification of stance is dependent on target which might not be explicitly mentioned in text. This indicates that apart from text ...

This study tried to find the strategies applied in three English translations of the Battle of Rostam and Esfandiyar. To this aim, the source text (ST) was analyzed verse by verse with each verse being compared with its English translations to determine what procedures the translators had used to render the source text. Subsequently, the frequency of usage for each procedure was measured ...

The current study investigated the effects of oral code-mixing and glossing on L2 vocabulary learning. To this end, 60 EFL learners studying at pre-university school were given a pre-test to make sure that they did not have any prior knowledge of the target words. Based on their scores in the pre-test, 36 pre-university students were selected and divided into three groups, including two experim...

Abstract Sentiment analysis techniques have a long history in natural language processing and become standard tool the of political texts, promising conceptually straightforward automated method extracting meaning from textual data by scoring documents on scale positive to negative. However, while these kinds sentiment scores can capture overall tone document, underlying concept interest for is...

1. Introduction The dominant strategy currently employed in machine translation (MT) is transfer: 1 Under this strategy, the MT system derives an abstract representation of the source language text; this representation is then transferred into a corresponding abstract representation formed in terms of the target language, which is subsequently realised in the target language proper. At each sta...

In translation, choosing appropriate equivalent is essential to convey the right message from source-text to target-text, and one of the issues that may have a determinative role in appropriate equivalent choice is the semantic prosody (SP) behavior of words and the relation existing between the SP of a word and semantic senses (i.e. negativity, positivity or neutrality) of its collocations in ...