extended abstract 1. introduction the present study aims to investigate the potentials of two significant translation paradigms in children’s literature: 1) skopos paradigm; and 2) equivalence paradigm. the former seeks equivalence in the source text while the latter seeks it in the target text. to this end, three translations of “the little prince” by mohammad ghazi, ahmad shamlou, and abolhas...

In this article, we present a novel machine translation model, the Operation Sequence Model (OSM), that combines the benefits of phrase-based and N-gram-based SMT and remedies their drawbacks. The model represents the translation process as a linear sequence of operations. The sequence includes not only translation operations but also reordering operations. As in Ngram-based SMT, the model is: ...

In sight translation, a written message is converted into spoken message, or text must be read aloud in another language. Sight translation has long been considered hybrid of and interpreting preparatory training method for simultaneous interpreting. However, because the information input form rather than fleeting speech, not enough attention paid to time factor translation. This paper addresse...

Objectives: This case study highlights the applicability of Dynamic Assessment (DA) in exploring the cognitive development and intellectual functioning of a schizophrenic foreign language learner. Methods: The general analytical framework of study to unmask the changes in the learner’s competence is Microgenesis. Results: Analysis of the findings not only supports the Vygotskian view re...

The translation of compound nouns is a major issue in machine translation due to their frequency of occurrence and high productivity. Various shallow methods have been proposed to translate compound nouns, notable amongst which are memory-based machine translation and word-to-word compositional machine translation. This paper describes the results of a feasibility study on the ability of these ...

The ability to measure the quality of word order in translations is an important goal for research in machine translation. Current machine translation metrics do not adequately measure the reordering performance of translation systems. We present a novel metric, the LRscore, which directly measures reordering success. The reordering component is balanced by a lexical metric. Capturing the two m...