نتایج جستجو برای: persian multi part words
تعداد نتایج: 1215226 فیلتر نتایج به سال:
Plagiarism is defined as an unauthorized act of using or adapting others’ works and ideas without referring to them. Numerous methods have been proposed to detect plagiarism in different languages; however, not a lot has been accomplished in Persian. The present study has utilized statistical and semantic features to determine the functionality of Support Vector Machines (SVMs) in detecting act...
In recent years, large monolingual, comparable and parallel corpora have played a very crucial role in solving various problems of computational linguistics including machine translation, information retrieval, natural language processing, and the like. This paper tries to solve the problem of polysemy of Persian words while translating them into Persian by the computer. We use Mutual Informati...
this study purported to compare and contrast the use of self-mention and evidentials as two mtadiscourse features in opinion columns of persian and english newspapers. the theoretical basis of this study is the idea that metadiscourse features vary across cultural boundaries. for this purpose, 150 persian and 150 english opinion columns were collected based on three factors of topic, audience a...
This paper presents the statistical part-ofspeech tagger HunPoS trained on a Persian corpus. The result of the experiments shows that HunPoS provides an overall accuracy of 96.9%, which is the best result reported for Persian part-of-speech tagging.
The exponential growth of the Persian blogosphere and the increased number of neologisms create a major challenge in NLP applications of Persian blogs. This paper describes a method for extracting and classifying newly constructed words and borrowings from Persian blog posts. The analysis of the occurrence of neologisms across five distinct topic categories points to a correspondence between th...
Word Sense Disambiguation has long been a central problem in computational linguistics. Word Sense Disambiguation is the ability to identify the meaning of words in context in a computational manner. Statistical and supervised approaches require a large amount of labeled resources as training datasets. In contradistinction to English, the Persian language has neither any semantically tagged cor...
Objectives: This paper studies the effect of Persian Cued Speech on the perception of Persian language phonemes and monosyllabic words with and without sound in hearing impaired children. Cued Speech is a sound based mode of communication for hearing impaired people that is comprised of a limited series of hand complements and the normal pattern of speech. And it is shown that it effectively ca...
One of the important actions in the processing of languages is part-of-speech tagging. Against of this importance, although numerous models have been presented in different languages but there is few works have been done in Persian language. In this paper, a part-of-speech tagging system on Persian corpus by using hidden Markov model is proposed. Achieving to this goal, the main aspects of Pers...
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