This paper reports the present results of a research on unsupervised Persian morpheme discovery. In this paper we present a method for discovering the morphemes of Persian language through automatic analysis of corpora. We utilized a Minimum Description Length (MDL) based algorithm with some improvements and applied it to Persian corpus. Our improvements include enhancing the cost function usin...

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...

Segmentation is a process of dividing cursive words into smaller parts in order to decrease complexity and increase accuracy of handwriting recognition process. However it is a complicated and timeconsuming task. In this paper, we introduce the concepts of basic shapes and explore its application for segmentation of Persian words. Considering a set of pre-defined shapes include line and open or...

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...

The development of transport lexicography in retrospect, starting with the first technical dictionaries (railway and others), shown. An almost exhaustive list (55 titles) that have been published so far make up Russian as main language or one languages included given. multilingual form noted, covering those countries where, by time constitution railway network Russia, railways had advanced deve...