نتایج جستجو برای: persian language

تعداد نتایج: 442563  

2014
Mohammad H. Ebrahimzadeh Amir Reza Kachooei Ehsan Vahedi Ali Moradi Zeinab Mashayekhi Mohammad Hallaj-Moghaddam Mehran Azami Ali Birjandinejad

Oxford Elbow Score (OES) is a patient-reported questionnaire used to assess outcomes after elbow surgery. The aim of this study was to validate and adapt the OES into Persian language. After forward-backward translation of the OES into Persian, a total number of 92 patients after elbow surgeries completed the Persian OES along with the Persian DASH and SF-36. To assess test-retest reliability, ...

Journal: :Archives of Iranian medicine 2009
Amir Shabani Laleh Koohi-Habibi Marzieh Nojomi Narges Chimeh S Nassir Ghaemi Naser Soleimani

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...

2013
Keivan Borna

Sorting Persian strings is a common challenge for many users that develop web-based database applications. This issue occurs more frequently while using Persian data. To the best of our knowledge almost many versions of several DBMS do not support Persian strings sorting properly. In this paper we present a Java pattern for solving this issue. Our object-oriented solution consists of three clas...

2013
Imanollah BIGDELI Ornella CORAZZA Zoe ASLANPOUR Fabrizio SCHIFANO

BACKGROUND During the past few years, there has been an increasing recognition that Internet is playing a significant role in the synthesis, the distribution and the consumption of Novel Psychoactive Substances (NPS).The aim of this study was to assess the online availability of NPS in Persian language websites. METHODS The Google search engine was used to carry out an accurate qualitative as...

2011
Azadeh Zamanifar Omid Kashefi

In this paper we propose a summarization approach, nicknamed AZOM, that combines statistical and conceptual property of text and in regards of document structure, extracts the summary of text. AZOM is also capable of summarizing unstructured documents. Proposed approach is localized for Persian language but easily can apply to other languages. The empirical results show comparatively superior r...

2009
AmirHossein Habibian Abolfazl AleAhmad Azadeh Shakery

In this paper we present an introduction to the Persian language and its morphology, and describe available resources for Persian text processing. We then propose and evaluate an information retrieval model, a variation of the vector space model which uses the relations existing between query terms. Our experiments on the Hamshahri collection show that the proposed model has better precision fo...

2006
Shadi GANJAVI Panayiotis G. GEORGIOU Shrikanth NARAYANAN

This paper offers a transcription system for Persian, the target language in the Transonics project, a speech-to-speech translation system developed as a part of the DARPA Babylon program (The DARPA Babylon Program; Narayanan, 2003). In this paper, we discuss transcription systems needed for automated spoken language processing applications in Persian that uses the Arabic script for writing. Th...

Journal: :جستارهای ادبی 0

like sentences, combination of words is the main part of syntax in persian language as well as in russian language and plays an important role in sentence structures of these languages. combination of words in russian language is divided into three categories: verbal combinations, nominal and adverbial combinations. the writers of this article have studied combination of verbs in russian langua...

2011
Mortaza Montazery Heshaam Faili

In this paper we introduce an unsupervised learning approach for WordNet construction. The whole construction method is an Expectation Maximization (EM) approach which uses Princeton WordNet 3.0 (PWN) and a corpus as the data source for unsupervised learning. The proposed method can be used to construct WordNet in any language. Links between PWN synsets and target language words are extracted u...

Journal: :Soft Computing 2023

Natural language inference (NLI) is known as one of the central tasks in natural processing (NLP) which encapsulates many fundamental aspects understanding. With considerable achievements data-hungry deep learning methods NLP tasks, a great amount effort has been devoted to develop more diverse datasets for different languages. In this paper, we present new dataset NLI task Persian language, al...

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