Nowadays, Wordnet is used in natural language processing as one of the major linguistic resources. Having such a resource for Persian language helps researchers in computational linguistics and natural language processing fields to develop more accurate systems with higher performances. In this research, we propose a model for semi-automatic construction of Persian wordnet of verbs. Compound ve...

In this article, we have introduced the first parallel corpus of Persian with more than 10 other European languages. This article describes primary steps toward preparing a Basic Language Resources Kit (BLARK) for Persian. Up to now, we have proposed morphosyntactic specification of Persian based on EAGLE/MULTEXT guidelines and specific resources of MULTEXT-East. The article introduces Persian ...

This paper is an attempt to exclusively focus on investigating the pivot language technique in which a bridging language is utilized to increase the quality of the Persian–Spanish low-resource Statistical Machine Translation (SMT). In this case, English is used as the bridging language, and the Persian–English SMT is combined with the English–Spanish one, where the relatively large corpora of e...

Development of robust spoken language technology ideally relies on the availability of large amounts of data preferably in the target domain and language. However, more often than not, speech developers need to cope with very little or no data, typically obtained from a different target domain. This paper focuses on developing techniques towards addressing this challenge. Specifically we consid...

Finding an appropriate dataset for natural language processing applications is one of the main challenges for researches of this field. This issue is more problematic in Non-Latin languages especially Persian language. Access to an appropriate dataset that can be used in development of practical programs in language processing field, helps us to validate the obtained results and provide the fea...

The Persian language is one of the dominant languages in the Middle East, so there are significant amount of Persian documents available on the Web. Due to the special and different nature of the Persian language compared to other languages like English, the design of information retrieval systems in Persian requires special considerations. However, there are relatively few studies on retrieval...

Persian is an Indo-European language written using Arabic script, and is an official language of Iran, Afghanistan, and Tajikistan. Transliteration of Persian to English—that is, the character-bycharacter mapping of a Persian word that is not readily available in a bilingual dictionary—is an unstudied problem. In this paper we make three novel contributions. First, we present performance compar...

Spelling errors in digital documents are often caused by operational and cognitive mistakes, or by the lack of full knowledge about the language of the written documents. Computer-assisted solutions can help to detect and suggest replacements. In this paper, we present a new string distance metric for the Persian language to rank respelling suggestions of a misspelled Persian word by considerin...

Optical Character Recognition (OCR) is an area of research that has attracted the interest of researchers for the past forty years. Although the subject has been the center topic for many researchers for years, it remains one of the most challenging and exciting areas in pattern recognition. Because of the cursive nature of Persian language, recognition of its characters is more difficult than ...