Devanagari

About: Devanagari is a research topic. Over the lifetime, 655 publications have been published within this topic receiving 7428 citations. The topic is also known as: Deva nagari & Hindi Script.

The Meroitic script and the understanding of alpha-syllabic writing

Abstract: At the time of its decipherment by Griffith (1911), the Meroitic writing system was considered an alphabet. This alphabet was found to have a rather limited vowel notation. It was not until 1970 that the system was understood to have a more complex vowel notation. This system of vowel notation is comparable to what is found in an alpha-syllabary, a term used to describe the scripts of the Indian sub-continent, such as Brahmi and Devanagari. Since alpha-syllabaries were rare when the Meroitic writing system was in use (c. 200 BCE‐c. 500 AD), it is tempting to suggest a possible historical connection between the Meroitic kingdom in Sudan and the then existent scripts in India. A systematic analysis, as opposed to a description of alpha-syllabic writing, indicates that the structure of this type of script is less regionally confined. Rather, it places Meroitic writing among scripts that were created in the presence of alphabetic writing both in modern and in ancient times. The description of an alpha-syllabary In the study of writing systems, the classification system in use has given a historical or evolutionary notion about their development. Systems using signs to denote words were eventually superseded by those with a sign for each vowel and consonant, the alphabet. Today, however, a number of scripts are known to use combinations of word, syllable and alphabet signs, creating writing systems that are not easily classified. Some of these systems seem to be limited geographically, such as the Indic scripts (Gelb 1952, Diringer 1968 and Daniels and Bright 1996). A syllabary is a system in which each sign denotes a syllable of the language, while an alphabet has signs for each consonant and vowel. In an abugida, each sign presents a consonant with one particular vowel, with other vowels created by a consistent modification of these consonant plus vowel symbols; this latter type has had a number of different names (Daniels and Bright 1996: 4). Bright introduced the term alpha-syllabary, which in a systematic study of writing systems by Daniels and Bright (1996: 376) was defined as a “diacritically modified consonantal syllabic script”. The definitions of alphasyllabary and abugida describe the Indic scripts by emphasizing either their use of diacritics or the inherent vowel that is found as part of the consonant signs. Indic scripts, such as Brahmi, Devanagari and Kharoshthi writing, present a set of consonant signs that have an inherent vowel /a/ or /! / depending on the Bulletin of the SOAS, 73, 1 (2010), 101‐105. © School of Oriental and African Studies, 2010.

Detection of paraphrases for Devanagari languages using support vector machine

Abstract: Paraphrase is a process of computing the semantic similarity between sentences, which are not lexicographically similar. It relates to the writing a sentence in another form. Though a number of metrics for English language have been proposed in literature, to quantify textual similarity; but none for Devanagari language. Existing system for Indian language paraphrase detection uses lexical similarity are supervised and requires large scale tagged corpus. The proposed method employs SVM learning metrics, based on lexicography similarity with producing output as +1 for paraphrased, −1 for not paraphrased, takes a sentence as input and produces another sentence without changing its semantic. In particular, the system addresses the problem for detection of monolingual text to text similarity for fusion language like Hindi and Marathi, which has complex morphology.

Recognition of Handwritten Devanagari Numerals by Graph Representation and Lipschitz Embedding

Abstract: In this paper, the task of recognizing handwritten devanagari numerals by giving graph representation is introduced. Lipschitz embedding is explored to extract style, size invariant features from numeral graphs. Graph based features adequately model the cursivenes and are invariant to shape transformations. Recognition is carried out by SVM with radial basis function. Extensive experiments have been carried on standard dataset of CVPR ISI Kolkata. Comparative study of our results is presented with previous reported results on the dataset. From this study, graph representation seems to be robust and resilient.

Performance Evalution of Multistage Offline Marathi Script Recognition System

Abstract: is the most effective way by which civilized people speaks. Devanagari is the basic Script widely used all over India. Many Indian languages like Hindi, Marathi, Rajasthani are based on Devanagari Script. Devanagari Scripts Hindi language is the third common language used all over the word. In the proposed work an artificial neural network based classifier and statistical and structural method based feature extraction approach is used for the recognition of the script. Optical isolated Marathi Characters are taken as an input image from the scanner. An input image is preprocessed and segmented. Features are extracted in terms of various structural and statistical features like End points, middle bar, loop, end bar, aspect ratio etc. Feature vector is applied to Self organizing map (SOM) which is one of the classifier of an artificial neural Network.SOM is trained for such 5000 different characters collected from 500 persons. The characters are classified into three different classes. The proposed classifier attains 93% accuracy.