This paper will discuss several computational tools for creating a stemma of Avestan manuscripts, such as: a letter similarity matrix, a morphological expander, and co-occurrence networks. After a short introduction to Avestan and Avestan manuscripts and a representation of Avestan peculiarities concerning the creation of stemmata, the operatability of the above-mentioned tools for this text co...

This paper will discuss several computational tools for creating a stemma of Avestan manuscripts, such as: a letter similarity matrix, a morphological expander, and co-occurrence networks. After a short introduction to Avestan and Avestan manuscripts and a representation of Avestan peculiarities concerning the creation of stemmata, the operatability of the above-mentioned tools for this text co...

Background: Providing emergency shelter for disaster victims is a part of risk mitigation strategies. International organizations have proposed framework appropriate planning and design. These agencies are encouraging local authorities to manage events use existing structures such as schools, community centers, etc., shelters the victims. According social religious spiritual status mosques in c...

mood is, in general, a meaning concept that indicates the speaker’s point of view about a proposition. there are different modal elements in each language to embody a mood; in other words, different languages have variety of methods to express modal concepts. using verbal moods is one of these methods. verbal mood represents the morphology of a verb and can hence be considered as a grammatical ...

Persian is a challenging language in the field of NLP. Rightto-left orthography, complex morphology, complicated grammatical rules, and different forms of letters make it an interesting language for NLP research. In this paper we measure the effectiveness of a simple and efficient stemming algorithm, Perstem, on Persian information retrieval. Our experiments on the Hamshahri corpus at CLEF2009 ...

a glance at the growth and development of vocabulary control in persian will make it clear that the process can be divided into three distinct stages: 1.  preparation of lists of persian terms selected by documentation centers during the indexing process. 2.  translation into persian of the thesauri available in english and french languages. 3.  compilation of thesauri in persian based on warra...

This article studies different aspects of a new approach to word sense disambiguation using statistical information gained from a monolingual corpus of the target language. Here, the source language is English and the target is Persian, and the disambiguation method can be directly applied in the system of English-to-Persian machine translation for solving lexical ambiguity problems in this sys...

Sense tagged corpora play a crucial role in Natural Language Processing, particularly in Word Sense Disambiguation and Natural Language Understanding. Since semantic annotations are usually performed by humans, such corpora are limited to a handful of tagged texts and are not available for many languages with scarce resources including Persian. The shortage of efficient, reliable linguistic res...