“qasidat al-hussein (as), ya ibn al-kiram” is a poem written on imam hussein (as) and the tragedy of ashura, there are also features of the resistance literature in it. this study addressed qasidat al-hussein (as), by descriptive analytical method and based on the statistical stylistics. in this study, we investigated the phonetic level looking for sonorous and whispered phonemes and treat them...

This paper contains a close look at Koskenniemi’s Two-level morphol­ ogy from a linguistic point of view. The model will be compared to three other traditional, linguistic morphological models, lA , IP and WP. It will be shown that there are linguistic phenomena that can hardly be handled by some of the just mentioned models, and not at all in a linguistically satisfactory manner by the Two-lev...

ABSTH,AGT The two-level morThology model has received a grcal deal oJ attention and ha,s been implcmcnlcd for languages like li'ianish, English, JalmnCSe , Ru,ssian, l,'rcnch, and so on. However, this model has been claimed to be inapproprialc ]or Korean morphological analysis, because the complez" conjugation (inflection) and agglutination in word formation, and the syllabic-based representati...

We describe and experimentally evaluate a complete method for the automatic acquisition of two-level rules for morphological analyzers/generators. The input to the system is sets of source-target word pairs, where the target is an inflected form of the source. There are two phases in the acquisition process: (1) segmentation of the target into morphemes and (2) determination of the optimal two-...

A line of a bilingual document page may contain text words in regional language and numerals in English. For Optical Character Recognition (OCR) of such a document page, it is necessary to identify different script forms before running an individual OCR system. In this paper, we have identified a tool of morphological opening by reconstruction of an image in different directions and regional de...

Even for common NLP tasks, sufficient supervision is not available in many languages—morphological tagging is no exception. In the work presented here, we explore a transfer learning scheme, whereby we train character-level recurrent neural taggers to predict morphological taggings for high-resource languages and low-resource languages together. Learning joint character representations among mu...