نتایج جستجو برای: persian language borrowing

تعداد نتایج: 446959  

2006
GILLIAN KAY

As a result of the economic, political and cultural influence of Britain and the US, and the emergence of English as an international language, many world languages have absorbed loanwords from English, especially during the twentieth century. Japanese contains thousands of such borrowings, many of which are well-established and in universal use. A domestic phonetic script is available to both ...

Journal: :دراسات الادب المعاصر 0
رمضان رضائی پریناز علی أکبری

each nation has something to proud and glory it, and this is the manner of arabs who proud about their language and good style, and they maintained on their language because they sent their sons into al badaiy desert’ to keep their arabic language, even with we have found in their language some  arabic and  loan words and from here it was our subject for investigating loan words in the book of ...

Journal: :international journal of finance and managerial accounting 0
ahmad nasseri assistant professor of accounting, university of sistan and baluchestan, zahedan, iran (corresponding author) hassan yazdifa professor of accounting, salford university, uk mohammad ali mahmoodi associate professor of persian language and linguistics, university of sistan and baluchestan, zahedan, iran akram arefi m.a.in persian language and linguistics, university of sistan and baluchestan, zahedan, iran

some of the difficulties and misunderstandings that happen in accounting theory, practice, regulation and education are grounded in language and linguistics. as an illustration of this the persian equivalent of 'accounting' is linguistically analysed to reveal how a mistranslation may cause difficulties in understanding and improving iranian accounting. this paper shows how hesaabdaar...

Journal: :CoRR 2014
Ayoub Bagheri Mohammad Saraee

In the recent decade, with the enormous growth of digital content in internet and databases, sentiment analysis has received more and more attention between information retrieval and natural language processing researchers. Sentiment analysis aims to use automated tools to detect subjective information from reviews. One of the main challenges in sentiment analysis is feature selection. Feature ...

The Reduplications are made by repeating part of the base. The repeated part does not make sense and will never be used alone and is just popular in spoken language. In recent times, they have been used in some texts of poetry and prose, in particular, in stories written in vernacular. This research, with a historical approach, and with an analytical-explanatory method, examines the information...

Journal: :Journal of neurodevelopmental cognition 2023

The present study aims to compare the language development of normal Persian and Persian-Turkish preschoolers using PDSS as a morpho-syntactic measure determine if bilingualism has any effects on development. Subjects included 30 Persian- Turkish from middle social class in three age groups 37-46, 47-56, 57-66 months old. Language background ASQ II questionnaires were completed by children’s pa...

Objectives: Persian is a pro-drop language with canonical Subject-Object-Verb (SOV) word order. This study investigates the acquisition of word order in Persian-speaking children. Methods: In the present study, participants were 60 Persian-speaking children (30 girls and 30 boys) with typically developing language skills, and aged between 30-47 months. The 30-minute language samples were audio...

2013
Ehsaneddin Asgari Jean-Cédric Chappelier

This paper describes the usage of Natural Language Processing tools, mostly probabilistic topic modeling, to study semantics (word correlations) in a collection of Persian poems consisting of roughly 18k poems from 30 different poets. For this study, we put a lot of effort in the preprocessing and the development of a large scope lexicon supporting both modern and ancient Persian. In the analys...

Journal: :International journal on natural language computing 2022

Grammatical error correction (GEC) greatly benefits from large quantities of high-quality training data. However, the preparation a amount labelled data is time-consuming and prone to human errors. These issues have become major obstacles in GEC systems. Recently, performance English systems has drastically been enhanced by application deep neural networks that generate synthetic limited sample...

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