Roman-Script Epigraphy in Norwegian Towns

2021 ◽  
pp. 105-134
Author(s):  
Elise Kleivane
Keyword(s):  
Roman Script

scholarly journals Nominal Inflection of the Tutsa Language

2021 ◽  
Vol 10 (4) ◽  
pp. 138-140
Author(s):  
Hemanta Konch
Keyword(s):  
South East Asia ◽  
Language Family ◽  
Arunachal Pradesh ◽  
Folk Tales ◽  
North East ◽  
Nominal Inflection ◽  
Roman Script ◽  
A Minor ◽  
New Generation ◽  
Assamese Language

North-East is a hub of many ethnic languages. This region constitutes with eight major districts; like-Assam, Arunachal Pradesh, Nagaland, Manipur, Mizoram, Tripura, Meghalaya and Sikkim. Tutsa is a minor tribe of Arunachal Pradesh. The Tutsa was migrated from the place ‘RangkhanSanchik’ of the South-East Asia through ‘Hakmen-Haksan’ way to Arunachal Pradesh. The Tutsa community is mainly inhabited in Tirap district and southern part of Changlang district and a few people are co-exists in Tinsukia district of Assam. The Tutsa language belongs to the Naga group of Sino-Tibetan language family. According to the Report of UNESCO, the Tutsa language is in endangered level and it included in the EGIDS Level 6B. The language has no written literature; songs, folk tales, stories are found in a colloquial form. They use Roman Script. Due to the influence of other languages it causes lack of sincerity for the use of their languages in a united form. Now-a-days the new generation is attracted for using English, Hindi and Assamese language. No study is found till now in a scientific way about the language. So, in this prospect the topic Nominal Inflection of the Tutsa Language has been selected for study. It will help to preserve the language and also help in making of dictionary, Grammar and language guide book.

Is the consonant primacy script-universal or script-specific? Evidence from non-Roman script Korean Hangul

2018 ◽  
Vol 32 (4) ◽  
pp. 1085-1106 ◽  
Author(s):  
Hye K. Pae ◽  
Sungbong Bae ◽  
Kwangoh Yi
Keyword(s):  
Roman Script ◽  
Korean Hangul

The systematization and typology of the instant messaging writing system used by young Israeli Arabs

2008 ◽  
Vol 11 (1) ◽  
pp. 35-48 ◽  
Author(s):  
Sandy Habib ◽  
Dennis Kurzon
Keyword(s):  
Instant Messaging ◽  
Computer Mediated Communication ◽  
Writing System ◽  
Mediated Communication ◽  
Computer Mediated ◽  
Israeli Arabs ◽  
Roman Script

This study investigates a new writing system based on the Roman script that has been used by Israeli Arabs in Israel for about ten years. This system is associated with instant messaging (IM); people usually use it when sending SMSs or when utilizing any of the computer-mediated communication forms, such as Messenger. The paper focuses on the systematization and the typology of this writing system based on data collected from about 40 participants studying in the same school. The results show that most of the participants have used this system systematically, and that this system can be classified as a developing alphabet.

scholarly journals Development of Jawi Spelling Skills Mobile Applications, 'Oh Jawiku'

2019 ◽  
Vol 13 (07) ◽  
pp. 80
Author(s):  
Noor Asmina Binti Mohd Rashid ◽  
Shaharuddin Bin Md Salleh ◽  
Norah Binti Md Noor
Keyword(s):  
Mobile Learning ◽  
Mobile Applications ◽  
Mobile Application ◽  
Mean Value ◽  
The Past ◽  
Post Test ◽  
Main Medium ◽  
The Mean ◽  
Addie Model ◽  
Roman Script

<p class="0abstract"> In the past, Jawi script was the main medium of intermediation in Malaya. However, since the emergence of the Roman script, the use of Jawi script has been marginalized causing less awareness among some of the younger generation on the uniqueness of Jawi script. Therefore, a mobile application has been developed to attract students to explore Jawi script especially the spelling of Jawi words. This Jawi Spelling Skills mobile application used constructivism approach and ADDIE model during the development process. This study used quantitative one group pre-test and post-test research design that conducted among 20 students of a primary school. The result shows that the mean value of the post-test was higher than the pre-test which is 89.00 while the percentage of students who liked the Jawi Spelling Skills mobile learning application was high. In conclusion, the application of Jawi Spelling Skills Mobile Learning Application able to attract students to learn Jawi indirectly raised the dignity of Jawi script in the future besides supporting the 21st- century education.</p>

scholarly journals A clustering framework for lexical normalization of Roman Urdu

2020 ◽  
pp. 1-31
Author(s):  
Abdul Rafae Khan ◽  
Asim Karim ◽  
Hassan Sajjad ◽  
Faisal Kamiran ◽  
Jia Xu
Keyword(s):  
Language Processing ◽  
Clustering Algorithm ◽  
String Matching ◽  
Feature Learning ◽  
Similarity Function ◽  
Feature Based ◽  
Real World Datasets ◽  
Roman Script ◽  
Maximum Similarity ◽  
Textual Content

Abstract Roman Urdu is an informal form of the Urdu language written in Roman script, which is widely used in South Asia for online textual content. It lacks standard spelling and hence poses several normalization challenges during automatic language processing. In this article, we present a feature-based clustering framework for the lexical normalization of Roman Urdu corpora, which includes a phonetic algorithm UrduPhone, a string matching component, a feature-based similarity function, and a clustering algorithm Lex-Var. UrduPhone encodes Roman Urdu strings to their pronunciation-based representations. The string matching component handles character-level variations that occur when writing Urdu using Roman script. The similarity function incorporates various phonetic-based, string-based, and contextual features of words. The Lex-Var algorithm is a variant of the k-medoids clustering algorithm that groups lexical variations of words. It contains a similarity threshold to balance the number of clusters and their maximum similarity. The framework allows feature learning and optimization in addition to the use of predefined features and weights. We evaluate our framework extensively on four real-world datasets and show an F-measure gain of up to 15% from baseline methods. We also demonstrate the superiority of UrduPhone and Lex-Var in comparison to respective alternate algorithms in our clustering framework for the lexical normalization of Roman Urdu.

scholarly journals Notes on a Special Feature of Greek Orthoepy: Use of a Non-Nasal Consonant for Representing the Velar Nasal

Humanitas ◽  
2015 ◽  
Vol 67 ◽  
pp. 83-91
Author(s):  
Brian F. Head
Keyword(s):  
Roman Script ◽  
Nasal Consonant

This study describes the contexts in which the letter gama is used in order to represent the velar nasal, it presents a hypothesis as to the origin of this consonant in Greek, and it considers a problem that results from the inadequate representation of Greek etyma in Roman script, as revealed in data from various dictionaries of Portuguese and other languages.http://dx.doi.org/10.14195/2183-1718_67_4

scholarly journals AUTOMATIC NUMBER PLATE RECOGNITION FOR DIFFERENT FONTS AND NON-ROMAN SCRIPT

2021 ◽  
Vol 5 (11) ◽  
Author(s):  
Kirad Varad Vinay ◽  
Indla Omkar Balaobaiah ◽  
Mujawar Sohail Mahiboob ◽  
Shinde Dinesh Nagnath ◽  
Prof. Darshana Patil
Keyword(s):  
Image Processing ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Red Light ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Learning Technology ◽  
Size Number ◽  
Roman Script

According to survey taken the total number of vehicles in [1] India were 260 million. Therefore, there is a need to develop Automatic Number Plate Recognition (ANPR) systems [1] in India because of the large number of vehicles travelling on the roads. [1] It would also help in proper tracking of the vehicles, traffic examining, finding stolen vehicles, supervising parking toll and imposing strict actions against red light breaching. Automatic number plate recognition is image processing technique for finding number plate from image and extracting characters from detected number plate. ANPR in India has always been challenging due to different lighting conditions, changes in fonts, shapes, angles, letters size, number of lines and padding between lines, different languages used. In our project we proposed a model that can detects number plate with considering all irregularities. this system uses Computer vision and machine learning technology in order to detect number plate from image. In our proposed system number plate can be of different fonts and non-roman script. For identification of characters from number plate we use OCR (Optical character recognition) technique. OCR involves two parts: Character segmentation and Character Recognition. This OCR system can be used to extract characters of different fonts and non-roman script. The Quality of OCR depends on the quality of image, image contrast, text font style and size. To improve quality of OCR we can use image processing technique to enhance quality of image.

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