Parallel corpora are one of the key resources in natural language processing. In spite of their importance in many multi-lingual applications, no large-scale English-Persian corpus has been made available so far, given the difficulties in its creation and the intensive labors required. In this paper, the construction process of Tehran English-Persian parallel corpus (TEP) using movie subtitles,...

  Poetry translation involves cognition, discourse, and action by and between human s and textual a c- tors in physical and social settings. The aim of this study was to find out to what extent the non - native translator of Nizami Ganjavi’s “Leili and Majnun” could preserve the poetic imagery in its English translation. To this end, an innovative taxonomic model, which could investiga...

Multilingual corpora are valuable resources for cross-language information retrieval and are available in many language pairs. However the Persian language does not have rich multilingual resources due to some of its special features and difficulties in constructing the corpora. In this study, we build a Persian-English comparable corpus from two independent news collections: BBC News in Englis...

Translating from English, a morphologically poor language, into morphologically rich languages such as Persian comes with many challenges. In this paper, we present an approach to rich morphology prediction using a parallel corpus. We focus on the verb conjugation as the most important and problematic phenomenon in the context of morphology in Persian. We define a set of linguistic features usi...

Automatic transformation of paper documents into electronic documents requires document segmentation at the first stage. However, some parameters restrictions such as variations in character font sizes, different text line spacing, and also not uniform document layout structures altogether have made it difficult to design a general-purpose document layout analysis algorithm for many years. Thus...

The pressure to produce work in English and to publish internationally has increased over recent years. However, a large number of non-native writers may be excluded from the web of global scholarship due to defective rhetorical organizations and discourse structures of their works. This study aimed to investigate frequency and distribution of transition markers (TMs) in introduction sections o...

The present research aimed at investigating the deformation of political news headlines translation between English and Persian News Agencies based on Berman`s deformative system. For this purpose, 100 news headlines in English were selected from BBC, Reuters, Associated Press, France, France 24, Financial Times, Business Times, New York Times, Politico, Guardian, CNN, Bloomberg, Middle East Ey...

In this paper we describe the development of a doctor-patient dialogue corpus to support a speech-to-speech machine translation effort for English-Persian medical dialogues. The corpus was developed by recording and transcribing English-to-English dialogues between medical students and standardized patients (actors who have been trained to portray illness or injury victims), and then translated...

Word Sense Disambiguation has long been a central problem in computational linguistics. Word Sense Disambiguation is the ability to identify the meaning of words in context in a computational manner. Statistical and supervised approaches require a large amount of labeled resources as training datasets. In contradistinction to English, the Persian language has neither any semantically tagged cor...