The development of Language Engineering (LE) and Information Retrieval (IR) applications requires availability of sizeable, reliable and representative corpora. This paper describes how we have constructed a well-structured 345 MB tagged corpus of news, and presents some beneficial statistics of this corpus based upon the characteristics of Farsi language. It also goes into particular detail on...

Farsi, also known as Persian, is the official language of Iran, Tajikistan and one of the two main languages spoken in Afghanistan. It is an Indo-European agglutinating language, written in Arabic script. This paper presents the first step in creating Farsi basic language resources kit. This Step comprises the specifications for morphosyntactic encoding, which is based on the EAGLES/MULTEXT mod...

A retrieval method for explicit recognition free Farsi/Arabic document is proposed in this paper. The system can be used in mixed Farsi/Arabic and English text. The method consists of Preprocessing, word and sub_word extraction, detection and cancelation of sub_letter connectors, annotation sub_letters by shape coding, classifier of sub_letters by use of decision tree and using of RBF neural ne...

In this paper, a word spotting approach for Farsi printed document images has been presented. The main idea of the paper is the font recognition of Farsi document images and query word modification according to the document image’s font before searching. This operation increases the similarity between the query word image and its instances in the document image; therefore, the performance of th...

-The automatic recognition of printed Farsi (Persian) texts is complicated by several properties of the Farsi script: (a) connectivity of symbols, (b) similarity of groups of symbols, (c) highly variable widths, (d) subword overlap, and (e) line overlap. In this paper, a technique for the automatic recognition of printed Farsi texts is presented and its steps are discussed as follows : (1) digi...

We present our findings on projecting part of speech (POS) information from a well resourced language, Farsi, to help tag a lower resourced language, Pashto, following Feldman and Hana (2010). We make a series of modifications to both tag transition and lexical emission parameter files generated from a hidden Markov model tagger, TnT, trained on the source language (Farsi). Changes to the emiss...

Do the languages that people speak affect the way they think about musical pitch? Here we compared pitch representations in native speakers of Dutch and Farsi. Dutch speakers describe pitches as „high‟ (hoog) and „low‟ (laag), but Farsi speakers describe high-frequency pitches as „thin‟ (naazok) and low-frequency pitches as „thick‟ (koloft). Differences in language were reflected in differences...

Do people who speak different languages think differently, even when they are not using language? To find out, we used nonlinguistic psychophysical tasks to compare mental representations of musical pitch in native speakers of Dutch and Farsi. Dutch speakers describe pitches as high (hoog) or low (laag), whereas Farsi speakers describe pitches as thin (nazok) or thick (koloft). Differences in l...