We study a new context-free computationally simple stylometrybased attributor: the sliced conditional compression complexity (sCCC or simply CCC) of literary texts introduced in [8] and inspired by the incomputable Kolmogorov conditional complexity (KC). Other stylometry tools can occasionally almost coincide for different authors. Our CCCattributor is asymptotically strictly minimal for the tr...

This paper deals with the problem of automatic language identification of noisy texts, which represents an important task in natural language processing. Actually, there exist several works in this field, which are based on statistical and machine learning approaches for different categories of texts. Unfortunately, most of the proposed methods work fine on clean texts or long texts, but often ...

This study was an attempt to investigate the effect of lexicon-based debates on the felicity of lexical equivalents in translating literary texts by Iranian EFL learners.  To fulfill the purpose of this study, 59 university students, majoring in English Translation, were randomly assigned to the experimental and control groups from a total of 73 students based on their performance on a mock TOE...

based on the theory of intertextuality, literary texts are in natural interaction with other texts before their time. the present study is an attempt to explain the relation between quran - as a religious literary text - with pre-islamic poetry. however the holy quran has a divine origin, but its language is a humane language and understandable to all people. thus, we see the vocabulary and str...

This portal will be composed of two parts: texts on line and a search and retrieval engine linked to medical law ontology. 1) The texts on line are: texts written by the specialists in their field on particular themes in medical law and which are stored in the server. These texts are called “studies”. A study includes an abstract, a bibliography and a glossary (legal, technical). original texts...

Algorithms for the alignment of words in translated texts are well established. However, only recently new approaches have been proposed to identify word translations from non-parallel or even unrelated texts. This task is more difficult, because most statistical clues useful in the processing of parallel texts cannot be applied to non-parallel texts. Whereas for parallel texts in some studies ...