Recognizing TimeML events and identifying their attributes, are important tasks in natural language processing (NLP). Several NLP applications like question answering, information retrieval, summarization, and temporal information extraction need to have some knowledge about events of the input documents. Existing methods developed for this task are restricted to limited number of languages, an...

Abstract In the “Afghan Genizah,” a recently acquired collection of texts in Judeo-Persian, Early New-Persian, Arabic, Hebrew, and Aramaic from tenth to thirteenth centuries, I recognized Judeo-Persian fragment Jewish, anti-Christian polemic work. This may be – or not part Toledoth Yeshu literature. It contains Gospel quotation Syriac Hebrew letters.

BACKGROUND Considering the difficulties in diagnosing bipolar disorder in clinical practice and lack of needed screening instruments in Persian language, the present study aimed at assessing sensitivity, specificity, and predictive values for the Persian Bipolar Spectrum Diagnostic Scale. METHODS The study was conducted in a university-affiliated hospital in Tehran, Iran, in a sample of 181 c...

Named-Entity Recognition (NER) is still a challenging task for languages with low digital resources. The main difficulties arise from the scarcity of annotated corpora and the consequent problematic training of an effective NER pipeline. To abridge this gap, in this paper we target the Persian language that is spoken by a population of over a hundred million people world-wide. We first present ...

We propose a novel algorithm for English to Persian transliteration. Previous methods proposed for this language pair apply a word alignment tool for training. By contrast, we introduce an alignment algorithm particularly designed for transliteration. Our new model improves the English to Persian transliteration accuracy by 14% over an n-gram baseline. We also propose a novel back-transliterati...

This paper compares clusters of aligned Persian and English texts obtained from k-means method. Text clustering has many applications in various fields of natural language processing. So far, much English documents clustering research has been accomplished. Now this question arises, are the results of them extendable to other languages? Since the goal of document clustering is grouping of docum...

arabic languages is not a foreign language for us as iranins is the language of our religion and islamic culture. thus to protect our religion and culture. we should learn it. because arabic is not our native language. so one way to learn it is through the comparison and contrast of structure and grammatical points of arabic and persian. this issue is very helpful in translating a text. this ar...