نتایج جستجو برای: in persian

تعداد نتایج: 16978038  

2004
Martin Hassel Nima Mazdak

FarsiSum is an attempt to create an automatic text summarization system for Persian. The system is implemented as a HTTP client/server application written in Perl. It uses modules implemented in an existing summarizer geared towards the Germanic languages, a Persian stop-list in Unicode format and a small set of heuristic rules.

2015
Narges Mohammadsalehi Abolfazl Mohammadbeigi Rahmatollah Jadidi Zohreh Anbari Ebrahim Ghaderi Mojtaba Akbari

BACKGROUND Reliability and validity are the key concepts in measurement processes. Young internet addiction test (YIAT) is regarded as a valid and reliable questionnaire in English speaking countries for diagnosis of Internet-related behavior disorders. OBJECTIVES This study aimed at validating the Persian version of YIAT in the Iranian society. PATIENTS AND METHODS A pilot and a cross-sect...

2014
Seyed Mahmoud Tabatabaei Nastaran Sabetkish Seyed Mohammad Ali Tabatabaei

Despite the fact that ophthalmology is one of the foremost branches of medicine, conceptualization of the structure and function of the eye barely advanced in ancient Western civilizations. At the early recovery of Persian civilization (9(th) century AD) after the extinction of the Sassanid Empire (7(th) century AD), translations of Greek medical textbooks played an important role in the develo...

2009
Olivier Bonami Pollet Samvelian

Modern Persian conjugation makes use of five periphrastic constructions. We contrast the properties of these five constructions and argue that they call for different analyses. We propose contrasting analyses relying on the combination of an HPSG approach to feature geometry and syntactic combination, and an approach to paradigm organization and morphological exponence based on Paradigm Functio...

2016
Mona Ebrahimipour Mohammad Reza Motamed Hassan Ashayeri Yahya Modarresi Mohammad Kamali

BACKGROUND Finding the right word is a necessity in communication, and its evaluation has always been a challenging clinical issue, suggesting the need for valid and reliable measurements. The Homophone Meaning Generation Test (HMGT) can measure the ability to switch between verbal concepts, which is required in word retrieval. The purpose of this study was to adapt and validate the Persian ver...

2010
Mahdi Mohseni Behrouz Minaei-Bidgoli

This paper describes a method based on morphological analysis of words for a Persian Part-Of-Speech (POS) tagging system. This is a main part of a process for expanding a large Persian corpus called Peyekare (or Textual Corpus of Persian Language). Peykare is arranged into two parts: annotated and unannotated parts. We use the annotated part in order to create an automatic morphological analyze...

Journal: :Bilingualism: Language and Cognition 2022

Abstract This paper investigates the production of Persian–English bilingual compound verbs (BCVs) type [VERB+VERB]. In this code-switched structure, a lexical verb from donor language English is combined with light native Persian. We tested hypothesis that in BCVs occupy nominal slots monolingual Persian complex predicates [NOMINAL+VERB]. Two methodologies were used. A conversational-corpus an...

Journal: :Ethnicity & disease 2005
Hikmet Jamil Sylvia Nassar-McMillan Richard Lambert

2011
S Pateriya MD Janodia PB Deshpande VS Ligade KB Talole T Kulshrestha Y Kamariya PB Musmade N Udupa

The Gulf cooperation council (GCC) region is considered as "Emerging market" for pharmaceutical export and bilateral trade. The understanding of the regulatory requirements of this region can be beneficial for pharmaceutical export. Some incidents of the year 2008-09, like recession or economic slowdown in highly well-off and regulated market of the EU and US, raised the demand for alternate de...

2007
Farhad Oroumchian Samira Tasharofi Hadi Amiri Hossein Hojjat Fahimeh Raja

This paper describes creation of a test collection for Persian Part of Speech Tagging experiments. This collection was created by modifying a manually Part of Speech (POS) tagged Persian corpus with over two million tagged words. The original collection had a tag set of 550 tags that are more than what any machine learning algorithm can handle. The number of tags for these experiments was reduc...

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function paginate(evt) { url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term pg=parseInt(evt.target.text) var data={ "year":filter_year, "term":term, "pgn":pg } filtered_res=post_and_fetch(data,url) window.scrollTo(0,0); } function update_search_meta(search_meta) { meta_place=document.getElementById("search_meta_data") term=search_meta.term active_pgn=search_meta.pgn num_res=search_meta.num_res num_pages=search_meta.num_pages year=search_meta.year meta_place.dataset.term=term meta_place.dataset.page=active_pgn meta_place.dataset.num_res=num_res meta_place.dataset.num_pages=num_pages meta_place.dataset.year=year document.getElementById("num_result_place").innerHTML=num_res if (year !== "unfilter"){ document.getElementById("year_filter_label").style="display:inline;" document.getElementById("year_filter_place").innerHTML=year }else { document.getElementById("year_filter_label").style="display:none;" document.getElementById("year_filter_place").innerHTML="" } } function update_pagination() { search_meta_place=document.getElementById('search_meta_data') num_pages=search_meta_place.dataset.num_pages; active_pgn=parseInt(search_meta_place.dataset.page); document.getElementById("pgn-ul").innerHTML=""; pgn_html=""; for (i = 1; i <= num_pages; i++){ if (i===active_pgn){ actv="active" }else {actv=""} pgn_li="
  • " +i+ "
  • "; pgn_html+=pgn_li; } document.getElementById("pgn-ul").innerHTML=pgn_html var pgn_links = document.querySelectorAll('.mypgn'); pgn_links.forEach(function(pgn_link) { pgn_link.addEventListener('click', paginate) }) } function post_and_fetch(data,url) { showLoading() xhr = new XMLHttpRequest(); xhr.open('POST', url, true); xhr.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); xhr.onreadystatechange = function() { if (xhr.readyState === 4 && xhr.status === 200) { var resp = xhr.responseText; resp_json=JSON.parse(resp) resp_place = document.getElementById("search_result_div") resp_place.innerHTML = resp_json['results'] search_meta = resp_json['meta'] update_search_meta(search_meta) update_pagination() hideLoading() } }; xhr.send(JSON.stringify(data)); } function unfilter() { url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term var data={ "year":"unfilter", "term":term, "pgn":1 } filtered_res=post_and_fetch(data,url) } function deactivate_all_bars(){ var yrchart = document.querySelectorAll('.ct-bar'); yrchart.forEach(function(bar) { bar.dataset.active = false bar.style = "stroke:#71a3c5;" }) } year_chart.on("created", function() { var yrchart = document.querySelectorAll('.ct-bar'); yrchart.forEach(function(check) { check.addEventListener('click', checkIndex); }) }); function checkIndex(event) { var yrchart = document.querySelectorAll('.ct-bar'); var year_bar = event.target if (year_bar.dataset.active == "true") { unfilter_res = unfilter() year_bar.dataset.active = false year_bar.style = "stroke:#1d2b3699;" } else { deactivate_all_bars() year_bar.dataset.active = true year_bar.style = "stroke:#e56f6f;" filter_year = chart_data['labels'][Array.from(yrchart).indexOf(year_bar)] url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term var data={ "year":filter_year, "term":term, "pgn":1 } filtered_res=post_and_fetch(data,url) } } function showLoading() { document.getElementById("loading").style.display = "block"; setTimeout(hideLoading, 10000); // 10 seconds } function hideLoading() { document.getElementById("loading").style.display = "none"; } -->