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...

One of the main tasks related to multiword expressions (MWEs) is compound verb identification. There have been so many works on unsupervised identification of multiword verbs in many languages, but there has not been any conspicuous work on Persian language yet. Persian multiword verbs (known as compound verbs), are a kind of light verb construction (LVC) that have syntactic flexibility such as...

in the name of him who taught the soul to think,and kindled the heart's lamp with the light of soul the role of iranians in affecting the culture, literature and sects of other nations, as well as in preaching the last divine religion and islamic sciences is revealed for all. the nation of great iran has continuously presented its spiritual and materialistic resources to other nations; inc...

The interest in text to speech synthesis increased in the world . text to speech have been developed for many popular languages such as English, Spanish and French and many researches and developments have been applied to those languages. Persian on the other hand, has been given little attention compared to other languages of similar importance and the research in Persian is still in its infan...

Word finding difficulty is a known impairments in multiple sclerosis (MS). The purpose of this study is to adapt homophone meaning generation test to Persian language, and then examine word storage and access in multiple sclerosis patients through these three word-finding tests. This study examined the word retrieval in 90 Persian speaking patients with multiple sclerosis and 90 matched healthy...

Translating from English, a morphologically poor language, into morphologically rich languages such as Persian comes with many challenges. In this paper, we present an approach to rich morphology prediction using a parallel corpus. We focus on the verb conjugation as the most important and problematic phenomenon in the context of morphology in Persian. We define a set of linguistic features usi...

Complex predicates, or compound verbs, constitute a major portion of verbal forms in the Persian language. They are normally formed using a noun, adjective, preposition, or prepositional phrase, followed by a light verb. Unlike many other languages that employ such constructions, Persian allows the two components to become separated. This paper will investigate where complex predicates syntacti...

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...

this research was conducted to reveal the differences between the intonation systems of persian and japanese languages and to be applied to the contrastive linguistics and language teaching fields. first,a description of the intonation system in the autosegmental-metrical phonology framework was chosen as reference for each language. based on these two descriptions, the intonations of the two l...

Identifying topics and concepts associated with a set of documents is a critical task for information retrieval systems. One approach is to associate a query with a set of topics selected from a fixed ontology or vocabulary of terms. The core idea of this research is using Wikipedia articles and associated pages to make a topic ontology for this purpose. The benefit of this method is that Wikip...