نتایج جستجو برای: persian multi part words

تعداد نتایج: 1215226  

Using the language-specific behavior in information retrieval systems can improve the quality of the retrieved results significantly. Part of the word that remains after removing its affixes is called stem. Stemming process can be used for improving the relevancy of the results in information retrieval system. Different morphological variants of words (plural, past tense…) will be mapped into t...

Journal: :Journal of old Turkic studies 2021

Tar?kh-i Jah?n-gush? by Ata-Malik Juvayni was written in the thirteenth century. A critical edition of this book published at beginning twentieth century Europe. The same recently Tehran. This text is Persian, but contains many Turkic and Mongolian words. study these words has become a linguistic issue Iran. number people have studied Turkish an idiosyncratic folk etymological manner. article d...

2005
Karine Megerdoomian

Assigning grammatical categories to words in a text is an important component of a natural language processing (NLP) system. Corpora tagged with Part of speech (POS) information are often used as a prerequisite for more complex NLP applications such as information extraction, syntactic parsing, machine translation or semantic field annotation. They are also used to help train statistical models...

Journal: :CoRR 2014
Ayshe Rashidi Mina Zolfy Lighvan

In this paper, a novel hierarchical Persian Stemming approach based on the Part-Of-Speech (POS) of the word in a sentence is presented. The implemented stemmer includes hash tables and several deterministic finite automata (DFA) in its different levels of hierarchy for removing the prefixes and suffixes of the words. We had two intentions in using hash tables in our method. The first one is tha...

2014
Samad Ghasemi Mohammad Nabi Ranjbari

Mastering vocabulary knowledge has always been a major concern for language learners (Nation, 2002). The present research mainly concerned with the impression comparing the performance of Iranian bilingual EFL students with monolingual groups by means of the treatment of the etymology of unknown English words upon their vocabulary retention. The ongoing research aimed at exploring the significa...

Journal: :پژوهش های زبانشناختی در زبانهای خارجی 0
مهناز رهبری دکتری آموزش زبان روسی، دانشکدة زبان ها و ادبیات خارجی، دانشگاه تهران، ایران علیرضا ولی پور دانشیار زبان روسی، دانشکدة زبان ها و ادبیات خارجی، دانشگاه تهران، ایران

occasionally, explaining certain lingual phenomena can be very difficult and complex. for example, one may ask why there are certain types of words or combination of words or why a language contains grammatical, conjugation and syntax structure. all these questions are connected to a long term process of the growth and development of language. everybody uses words without thinking, or rather a ...

2012
Tayebeh Mosavi Miangah Ali Delavar khalafi

In this paper we present a rather novel unsupervised method for part of speech (below POS) disambiguation which has been applied to Persian. This method known as Iterative Improved Feedback (IIF) Model, which is a heuristic one, uses only a raw corpus of Persian as well as all possible tags for every word in that corpus as input. During the process of tagging, the algorithm passes through sever...

2014
Seyyed Yasser Hashemi

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...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه زنجان - دانشکده ادبیات و علوم انسانی 1392

abstract the present study investigated the effects of task types and involvement load hypothesis on incidental learning of 10 target words (tws) in junior high schools (jhss) in givi, ardabil. the tasks deployed in this study were two input-based tasks (reading plus dictionary use with an involvement index of 3, and reading plus gap-fill task with an involvement index of 2), and one output-ba...

Journal: :International Journal of Artificial Intelligence & Applications 2012

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