This paper deals with the theoretical analysis of Devanagari script according to machine recognition perspective. An individual having good knowledge of the script of a language can easily read some words written on a paper pertaining to that script, though these are expressed in very bad manner, on the basis of his/her mental dictionary. Such words may not be easy to read through a machine as ...

The main goal of this project is to research technical advances in order to enhance the possibility to develop narratives within immersive mediated environments. An important part of the research is concerned with the question of how a script can be written, annotated and realized for an immersive context. A first description of the main theoretical framework and the ongoing work and a first sc...

With an increasing popularity of social-media, people post updates that aid other users in finding answers to their questions. Most of the user-generated data on social-media are in code-mixed or multi-script form, where the words are represented phonetically in a non-native script. We address the problem of Question-Classfication on social-media data. We propose an ensemble classifier based ap...

With a boom in the internet, social media text has been increasing day by day. Much of the user generated content on internet is written in a very informal way. Usually people tend to write text on social media using indigenous script. To understand a script different from ours is a difficult task. Moreover, nowadays queries received by the search engines are large number of transliterated text...

This article presents the script for a performance autoethnography that explores how mothers of adults with schizophrenia talk about their children. The script draws on my own experience as a mother of a person with schizophrenia, interviews I conducted with mothers of people with schizophrenia, and written accounts by mothers of people with schizophrenia. Autoethnography refers to an approach ...

This book provides system developers and researchers in natural language processing and computational linguistics with the necessary background information for working with the Arabic language. The goal is to introduce Arabic linguistic phenomena and review the state-of-the-art in Arabic processing. The book discusses Arabic script, phonology, orthography, morphology, syntax and semantics, with...

In this position paper, we describe a novel approach for creating visual stimuli for research on gesture in instruction. The approach is based on a system of computer animation instructor avatars whose gesture is controlled with a script. Compared to video recording instructor actors, the approach has the advantage of efficiency—once the script is written, it is executed automatically by the av...

The recognition of Arabic script and its derivatives such as Urdu, Persian, Pashto etc. is a difficult task due to complexity of this script. Particularly, Urdu text recognition is more difficult due to its Nasta'liq writing style. Nasta'liq writing style inherits complex calligraphic nature, which presents major issues to recognition of Urdu text owing to diagonality in writing, high cursivene...

The paper proposes an algorithm for the script recognition based on the texture characteristics. The image texture is achieved by coding each letter with the equivalent script type (number code) according to its position in the text line. Each code is transformed into equivalent gray level pixel creating an 1-D image. Then, the image texture is subjected to the run-length analysis. This analysi...

Documents written in cuneiform script are one of the largest sources about ancient history. The script is written by imprinting wedges (Latin: cunei) into clay tablets and was used for almost four millennia. This three-dimensional script is typically transcribed by hand with ink on paper. These transcriptions are available in large quantities as raster graphics by online sources like the Cuneif...