DOCSLIB.ORG

Senthil Nathan Freelance Translator Tamil

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Senthil Nathan Freelance Translator Tamil Senthil Nathan E-mail : [email protected] Phone : 919884155289 Address: C 9/6, TNBH Quarters, Near Andaman House, Anna Nagar West Exnt, Chennai, Tamil Nadu, India, Chennai Summary Why me? 20 years of translation: English to Tamil and Tamil to English Core Expertise: Medical/Clinical Trial, IT, Business, Legal/Immigration, Apps, Software Localization, Educational, Literary and Media Major LSPs worked for: SDL, Lionbridge, BGS, Tek Translation, Multilinguist, iLen Technologies, CLS Communication, Transperfect, Applied Language Solutions Major Clients: Microsoft, Facebook, Caterpillar, Nokia, Samsung, Ericsson Major Projects: 200,000+ words: Caterpillar (Company Manuals) 200,000+ words: Clinical Trial (through various agencies) 300,000 words: Microsoft Research Labs's Machine Translation Project (Planning, editing and management): Parallel Corpus that required 100 percent accuracy. 150,000 words: Nokia (2 years): GUI 50,000+ words: Facebook (Editing) Hundreds of press releases and media translation Worked as Chief Copy Editor of India Today (Tamil) to edit fifty pages per week of translation and original content for almost two years. Editor with Aazhi Publishers, 2008-Till Now: Translating and editing translated books. Work experience India Today (Living Media India) Feb. 1995 — March 1999 Sub Editor The great experience in learning translation, editing and project management skills as the weekly magazine demanded high quality output at the pace of media events. The primary task was translating India Today (English) stories of various domains into Tamil. Freelance May 1999 — May 2001 Freelance Translator and Journalist In 1999 I made a move towards translation industry as a freelancer, and headed part-time as an editor of a computer magazine in Tamil. It was the start of the dot.com era and I was one of thousands of entrepreneurs who tried the luck. I contributed to various dot.com ventures and finally decided to start a boutique translation services firm for Tamil and other south Indian languages. Joined Proz.com as early as 1999, I have started my services for Tamil, later expanded to other languages. I worked with major and medium LSPs from US/UK and learnt the professional basics of the industry. Se nthil Nathan 1 I was almost in all major localization projects of the time. Many software localization and mobile localization projects were handled by me through global agencies like SDL, Lionbridge, Tek Translation and others. Slangsoft Inc June 2001 — Dec 2001 Linguistic Engineer In an short assignment with Slangsoft Inc, a language technology company which was later acquired by Research In Motion in 2002, I worked as a linguistic engineer in their R&D division that developed Unicode fonts for handheld devices. I was in charge of developing ligature rules for 10 major Indian languages (Hindi, Gujarati, Bengali, Punjabi, Marathi, Assamese, Tamil, Telugu, Oriya, Kannada and Malayalam). My assignment was to create data (by research) for font development. The data include all characters, glyphs, ligature forms and special characters for each language and their Unicode representation. It was extremely complex and demanding task. I took it a challenge and developed the resource-base and presented it as ready-to-code rules in the Unicode values. I also provided the keyboard layout mapping, assigning and sequencing details. I had to provide font metrics and aesthetical suggestions to the font designer who was not an Indian. My task included QA with 10 different testers. I was single person handled all those tasks and I had to work in the Jerusalem Time Zone (where their development team worked from) from India. I also co- presented a paper on behalf of the company in an international Tamil computing meet at Malaysia. I also contributed to their business development. In Slangsoft, I learnt the issues related to fonts and encoding, Unicode solutions and special aspects of programming for low footprint handheld devices. Though it is not a translation job, this short time contract job gave me a good standing in language technologies and an exposure to work with global team of professionals. In 2001, developing technologies for mobile devices were still a fantasy, I had a great opportunity to work with some of the best minds in language and mobile industries. All this were complemented by other activities related to Tamil computing. Globalingo Jan 2002 — Aug 2007 Co-founder and Head, Project and Client Management Under the business name of Globalingo, one of the first agencies in South India that I co-founded, I have done projects for both global and national agencies and end customers as well. My earlier clients includes MLVs like TransPerfect, LionBridge, Bowne Global Solutions, and CLS Communication and direct clients like Caterpillar, NIIT, Maruti Udyog, Komatsu, ELGI Software etc. I have learned the basics of business development, project management and translation technologies in this period. During this period, I have handled more than 80 languages and thousands of projects from hundreds of companies. The professional skills acquired: Developing Translation Process Management System. Client account management Customer service Freelancers management Temp staff acquiring/recruiting and managing. In-house project process management Managing different requirements for the translators, programmers and non-programming professionals like DTP designers. Deadline adherence. QA development Working under intranet/extranet environments The domain expertise acquired: Language Markets: Understanding Asian and European markets from localization and linguistic-demographic point of view G11N/L10N: Understanding internationalization pre-requisites and localization special requirements Linguistics: Grasping of knowledge on language variants and dialects, Unicode and other font issues Se nthil Nathan 2 Multicultural: Having global outlook in managing freelancers and agencies with diverse work cultures. Special Attention to Ethnic Minorities Languages I am always fascinated in working with ethnic languages. Some of the languages I worked with in the last ten years are from the nooks and corners of all five continents. Examples: Inuktitut (from Greenland), Kara kalpak, Nahuatl, Shona, Oromo, Samoan, etc Some Major Projects: 1. A big 2 years-long mobile localization project (50,000 words plus) for a leading mobile manufacturer of the world. Later we had worked projects from all major mobile set manufacturers. All these are done through major LSPs like BGS (now LB) and SDL. I have been invited to Finland to attend Indic Localization project training by Nokia for two weeks. My presentation on Indian languages, not just on Tamil for which I was invited, were valued very useful by Nokia R&D. 2. Translation and editing/QC/XML conversion of 500,000 words news articles from English to Tamil to create a bilingual corpus for a Machine Translation project, for Microsoft Research Labs. This linguistic project won by us by showing expertise in both translation and news media. 3. Translating 20 books in 4 south Indian languages for a New Delhi based book publishing company. Supporting Services: We provided language training services for companies for Chinese, Japanese, French, German and Korean. Clients included: ABN-AMRO, HCL and Carborundum. Applied Language Solutions Sep. 2007 — March 2008 Project and Account Manager and Team Leader Applied Language Solutions, an UK based LSP, now acquired by another company. In its Chennai office, I worked for a short time as its project head. Headed a team and handled large Accounts and Projects Contributed increasing the number of Indian languages freelancers to get paneled. ALS enhances my career in a significant way as I was working thorugh a world class project management tools and with more variety of customers, big and small. Got global professional exposure as I co-ordinated my team with a multi-local team that spreads from UK, Bulgaria to India. Langscape April 2008 — Present Senior Consultant Langscape is fledged Indic LSP where I have managed mostly translators, in-house or freelance. I translate, edit or manage Tamil projects on my own and manage other languages with a team of translators. Aazhi Publishers 2008 — 2013 Publisher Being a media professional, I continue editing a news magazine in Tamil, Thamizh Aazhi and writing books for Aazhi Publishers. With Aazhi, I have secured the skills for the entire value chain of book publishing and digital publishing, including language editing, publishing and pre-press management, printing, eBooks creation, online promotion, social media marketing, event and exhibition management and more. Qualifications IT SKILL SET Se nthil Nathan 3 Productive Applications MS Office (Word, Excel (string functions included), PowerPoint, Access, and Front Page) Typing of all major Indian languages using Inscript type-writing layout (which is supported by Windows XP and Leap Office from CDAC, India) TM tools: Logoport, Trados, Wordfast Adobe InDesign and QuarkXpress - latest versions. Adobe Photoshop Translation Office Other regular utilities Programming Related Skills Web: HTML 5 Content Management Tools: Drupal Concepts: OOPs, Mobile Computing, Unicode. G11N/L10N, Indic computing Project Management Concepts. Concepts: Natural Language Processing and Computational Linguistics Languages known: Tamil and English Languages currently learning: Chinese Education M.A (Mass Communication) 1992 — 1994 Dept. of Journalism, University of Madras, Chennai Basics of print media, electronic media,
Load more

Recommended publications
  • Two Schemas for Online Character Recognition of Telugu Script Based on Support Vector Machines
    2012 International Conference on Frontiers in Handwriting Recognition Two Schemas for Online Character Recognition of Telugu script based on Support Vector Machines Rajkumar.J, Mariraja K., Kanakapriya,K., Nishanthini, S., Chakravarthy, V.S., Indian Institute of Technology, Madras [email protected] , [email protected] , [email protected] , [email protected] , [email protected] Abstract genetic algorithms for recognition of Devnagari script was described in (Jitendra and Chakravarthy We present two schemas for online recognition of 2008).A system for OHCR of Tamil and Telugu Telugu characters, involving elaborate multi- characters based on elastic matching was proposed in classifier architectures. Considering the three-tier (Prashanth et al 2007). Jagdeesh Babu et al (2007) vertical organization of a typical Telugu character, present a Hidden Markov Model (HMM) based we divide the stroke set into 4 subclasses primarily OHCR system for Telugu, at symbol level and not at based on their vertical position. Stroke level character level. recognition is based on a bank of Support Vector In this paper we develop an OHCR system using Machines (SVMs), with a separate SVM trained on SVMs for Telugu script. Telugu is a language spoken each of these classes. Character recognition for in the southern part of India. The language consists of Schema 1 is based on a Ternary Search Tree (TST), 16 vowels and 35 consonants that can combine to while for Schema 2 it is based on a SVM. The two form about 10000 composite characters. Defining a schemas yielded overall stroke recognition stroke as what is written between touch-down and performances of 89.59% and 96.69% respectively lift-off of the pen, we found 235 unique strokes in surpassing some of the recent online recognition Telugu script.
    [Show full text]
  • Bringing Ol Chiki to the Digital World
    Typography and Education http://www.typoday.in Bringing Ol Chiki to the digital world Saxena, Pooja, [email protected] Panigrahi, Subhashish, Programme Officer, Access to Knowledge, Center for Internet and Society, Bengaluru (India), [email protected] Abstract: Can a typeface turn the fate of an indigenous language around by making communication possible on digital platforms and driving digital activism? In 2014, a project was initiated with financial support from the Access to Knowledge programme at The Center for Internet and Society, Bangalore to look for answers to this question. The project’s goal was to design a typeface family supporting Ol Chiki script, which is used to write Santali, along with input methods that would make typing in Ol Chiki possible. It was planned that these resources would be released under a free license, with the hope to provide tools to Santali speakers to read and write in their own script online. Key words: Ol Chiki script, typeface design, minority script, Santali language 1. Introduction The main aim of this paper is to share the experiences and knowledge gained by working on a typeface and input method design project for a minority script from India, in this case Ol Chiki, which is used to write Santali. This project was initiated by the Access to Knowledge programme at the Center for Internet and Society (CIS-A2K, whose mandate is to work towards catalysing the growth of the free and open knowledge movement in South Typography Day 2016 1 Asia and in Indic languages. From September 2012, CIS has been actively involved in growing the open knowledge movement in India through a grant received from the Wikimedia Foundation (WMF).
    [Show full text]
  • Dr. UB Pavanaja
    Dr. U.B. Pavanaja - a profile Born in a village bordering Karnataka and Kerala. Education - MSc (Mysore Univ), PhD (Bombay Univ), Post-doctoral research at Taiwan. Scientist at BARC, Bombay for 15 years. Published many research articles. Active member of Kannada Sangha of BARC -an association for the propagation of science through Kannada. Edited the Kannada Science magazine of Kannada Sangha, BARC, "belagu", for 5 years. Gave a new look to the magazine by DTP. Organized many seminars in Kannada on various science topics at BARC. Brought a PC culture to the chemist communities at BARC. Resigned BARC in 1997 June and came down to Bangalore to work for Kannada and computers. Made the first Kannada program called "Kannada Kali" (Learn Kannada), a game which helps nursery kids and non- Kannadigas to learn Kannada alphabet, in 1993. The program is now evolved to include graphics and multimedia. This program is well appreciated by many Kannadigas and non-Kannadigas. Many Kannada organizations all over the world use this program to introduce Kannada alphabet to children at their Kannada classes. This program is available for free download at the Vishva Kannada site. Put up Kannada web site Vishva Kannada (http://www.vishvakannada.com/ ) in Dec. 1996. It has many firsts to its credit - First Kannada web site. First Kannada online magazine. First Indian Language web site to use dynamic fonts. Actively involved with Kannada Ganaka Parishat. KGP is an voluntary body formed by Computer professionals, literary persons and Kannada enthusiasts for the standardization and usage of Kannada on computers. KGP is the official certifying agency of Karnataka Govt for Kannada software.
    [Show full text]
  • Digital Review of Asia Pacific 2007-2008
    DIGITAL REVIEW of ri LA V i. L I 2007 2008 REPORTS ON 31 ECONOMIES 2 SUB-REGIONAL ASSOCIATIONS ICT4D in Asia Pacific: An Overview of Emerging Issues Mobile and Wireless Technologies for Development in Asia Pacific The Role of ICTs in Risk Communication in Asia Pacific I Localization in Asia Pacific I I Key Policy Issues in I Intellectual Property and Technology in Asia Pacific I State and Evolution of ICTs: A Tale of Two Asias ARCHIV 127081 www.digital-review.org DIGITAL REVIEW of Asia acjfic 2007-2008 I Supplementary news, reports and analyses are available for download at: http ://www. digital-review. org DIGITAL REVIEW of As 2007—2008 <dirAP> CHIEF EDIToR: Felix Librero CONTRIBUTING AUTHORS: ASSOCIATE EDITOR: Patricia B. Arinto Frederick John Abo Salman Malik EDITORIAL BOARD: Musa Abu Hassan Muhammad Aimal Marjan Ilyas Ahmed Jamshed Masood Danny Butt Zorayda Ruth Andam Ram Mohan Claude-Yves Charron Lkhagvasuren Ariunaa Charles Mok Suchit Nanda Batpurev Batchuluun Rapin Mudiardjo Maria Ng Lee Hoon Axel Bruns Frederick Noronha Milagros Rivera Danny Butt Them Oo Rajesh Sreenivasan Donny B.U. Sushil Pandey Knshnamurthy Sriramesh Elizabeth V. Cardoza Adam Peake Jian Yan Wang Claude-Yves Charron Phonpasit Phissamay Kapil Chawla Gopi Pradhan Masoud Davarinejad Ananya Raihan Deng Jianguo Naomi Robinson Massood Saffari Hj Abd Rahim Derus Lorraine Carlos Joâo Câncio Freitas Salazar George Sciadas John Fung Basanta Shrestha Atanu Garai Abhishek Singh Goh Seow Hiong Rajesh Sreenivasan Lelia Green Krishnamurthy Sriramesh Nalaka Gunawardene Tan
    [Show full text]
  • CSIC 2014( March )
    50/- ` ISSN 0970-647X | Volume No. 37 | Issue No. 12 | March 2014 12 | March | Issue No. 37 No. | Volume 0970-647X ISSN Article Cover Story BITCOIN – An Overview of the A Big Need for Indic-Language Solutions 7 Popular Digital Cryptocurrency 27 Technical Trends CIO Perspective Digitized Document Processing – Critical Success Factors of Global Character Recognition Techniques 9 Video Conference: A Case Study 31 Article Utility Computing and Cloud Computing - Card Skimming A Major Threat Summary of Speech by www.csi-india.org www.csi-india.org to E-Commerce 23 Prof. V. RajaramanCSI Communications 42 | March 2014 | 1 Inviting Proposals from CSI Student Branches to Organize National / Regional / State Level CSI Student Conventions During the Year 2014-15 Computer Society of India (CSI) organizes National, Regional, and State level Student Conventions annually, at the active Student Branches across India. These Conventions promote the awareness on technological developments and applications, and foster creative professional orientations among the student community. The Conventions off er excellent opportunities to the students to manifest their technical profi ciency and prowess through paper presentations, discussions and extensive interactions with peers and pioneers. CSI invites Proposals from Student Branches to conduct the National / Regional / State level Student Conventions to be held during the academic year 2014-15 (April to March). Criteria: The proposing Student Branch should be very active, with a track record of several CSI activities,
    [Show full text]
  • Human Language Computing in Indian Languages - a Holistic Perspective
    Human Language Computing in Indian Languages - A Holistic Perspective Swaran Lata Country Manager , W3C India Director & Head , TDIL Programme , Dept of Informaon Technology , Govt.of India E-mail : [email protected] 1 Organization of presentation: • Languages of India and its distribution • Technology Development for Indian Languages Programme • Phases of TDIL Programme • Paradigm Shift –Consortium mode projects • Linguistic Resources developed • Standardization Efforts - Core - Linguistic Resources • Testing and Evaluation Initiatives • Possible Collaborations with EU Programme • Future Directions 2 Languages of India ……INDIA: A Primer • Total Population: INDIA 1,028,737,436 (Source: STATES: 28 Census of India 2001) 10 States 03 UTs UT: 07 01 State 01 States • Language’s (Percentage to total population) 01 State 01 State HINDI (41.03) 01 State GUJARATI 02 States 02 UTs (4.48) BENGALI MARATHI (8.11) (6.99) 01 States MANIPURI 01 State (0.14) (3.21) (3.21) MALAYALAM MALAYALAM TELUGU 02 States (7.19) 01 State 01 State 01 States 01 UTs 01 UTs 01 State Linguistic Scenario in India Source – Census 2001, India Language Speakers Percentage to State(s) total population Assamese 13,168,484 1.28 Assam Bengali 83,369,769 8.11 Andaman & Nicobar Islands, Assam, Tripura, West Bengal Bodo 1,350,478 0.13 Assam Dogri 2,282,589 0.22 Jammu and Kashmir Gujarati 46,091,617 4.48 Dadra and Nagar Haveli, Daman and Diu, Gujarat Hindi 422,048,642 41.03 Andaman and Nicobar Islands, Arunachal Pradesh, Bihar, Chandigarh, Chhattisgarh, Delhi, Haryana, Himachal Pradesh, Jharkhand, Madhya Pradesh, Rajasthan, Uttar Pradesh and Uttarakhand Kannada 37,924,011 3.69 Karnataka.
    [Show full text]
  • Issues in Representation of Indic Scripts in Unicode
    Issues in Representation of Indic Scripts in Unicode Dr. Om Vikas Government of India Ministry of Communications & Information Technology Department of Information Technology Email: [email protected] UTC # 102 Unicode Technical Committee Meeting February 7-10, 2005, Mountain View, CA, USA Contents • Characteristics of Indic script. • India’s initiative for Language Technology Development • Awaiting updates in Unicode. • Proposal for New Scripts UTC # 102 Representation of Indic Scripts in Unicode Standard Dr. Om Vikas Characteristics of Indic Scripts UTC # 102 Representation of Indic Scripts in Unicode Standard Dr. Om Vikas Linguistic Scenario in India • India is Multilingual Multiscript Country • Twenty Two constitutionally recognized Indian Languages are mentioned as follows with their scripts within parentheses: Hindi (Devanagari), Konkani (Devanagari), Marathi (Devanagari), Nepali (Devanagari), Sanskrit (Devanagari), Sindhi (Devanagari/Urdu), Kashmiri (Devanagari/Urdu); Assamese (Assamese), Manipuri (Manipuri), Bangla (Bangali), Oriya (Oriya), Gujarati (Gujarati), Punjabi (Gurumukhi), Telugu (Telugu), Kannada (Kannada), Tamil (Tamil), Malayalam (Malayalam) Urdu (Urdu), Bodo (Devanagari, Assamese), Dogri (Devanagari), Maithili (Devanagari), Santhali (Ol Chiki). There are 10 Indic Scripts in vogue. • Less than 5 percent of people can either read & write English. Over 95 percent population is normally deprived of the benefits of English- based Information Technology. UTC # 102 Representation of Indic Scripts in Unicode Standard Dr. Om Vikas Characteristics of Indian Languages: • What You Speak Is What You Write (WYSIWYW) • Script grammar describes transformation rules • Relatively word-order-free • Common phonetic based alphabet • Common concept terms (from Sanskrit) Indian languages owe their origin to Sanskrit, hence they have in common rich cultural heritage and treasure of knowledge. Indic scripts have originated from Brahmi script.
    [Show full text]
  • Proposal for a Devanagari Script Root Zone Label Generation Rule-Set (LGR)
    Proposal for a Devanagari Script Root Zone Label Generation Rule-Set (LGR) LGR Version: 3.0 Date: 2019-03-06 Document version: 6.3 Authors: Neo-Brahmi Generation Panel [NBGP] 1 General Information/ Overview/ Abstract This document lays down the Label Generation Rule Set for the Devanagari script. Three main components of the Devanagari Script LGR i.e. Code point repertoire, Variants and Whole Label Evaluation Rules have been described in detail here. All these components have been incorporated in a machine-readable format in the accompanying XML file named "proposal-devanagari-lgr-06mar19-en.xml". In addition, a document named “devanagari-test-labels-06mar19-en.txt” has been provided. It contains a list of valid and invalid labels as per the Whole Label Evaluation laid down in Section 7 of this document. The labels have been tagged as valid and invalid under the specific rules1. In addition, the file also lists the set of labels which can produce variants as laid down in Section 6 of this document. 2 Script for which the LGR is proposed ISO 15924 Code: Deva ISO 15924 Key N°: 315 ISO 15924 English Name: Devanagari (Nagari) Latin transliteration of native script name: dévanâgarî 1 The categorization of invalid labels under specific rules is given as per the general understanding of the LGR Tool by the NBGP. During testing with any LGR tool, whether a particular label gets flagged under the same rule or the different one is totally dependent on the internal implementation of the LGR Tool. In case of discrepancy among the same, the fact that it is an invalid label should only be considered.
    [Show full text]
  • Automatic Transliterator from One Indic Script to Another
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by European Scientific Journal (European Scientific Institute) European Scientific Journal May edition vol. 8, No.11 ISSN: 1857 – 7881 (Print) e - ISSN 1857- 7431 AUTOMATIC TRANSLITERATION AMONG INDIC SCRIPTS USING CODE MAPPING FORMULA Ahmad Hweishel AL-Farjat Applied Science Department, AlBalqa Applied University, Jordan, Aqaba Abstract: This paper, discuss about developing an Automatic Transliterator which transliterates one Bramhi origin Indic script to another. This methodology is used specifically to map a text from one writing system to another and does not map the sounds of one language to the best matching script of another language. Here, we have discussed a method of Transliteration by finding out the patterns in Unicode Chart. It is mainly works for the following Indic Scripts: Bangla, Devanagari, Gurumukhi, Gujarati, Kannada, Malayalam, Oriya, Tamil, and Telugu. Each of these Indic Scripts can be interchangeably transliterated. Keywords: Translation, Transliteration, Script, Arabic, Kannada Introduction As majority of population know more than one language, they understand the spoken or verbal communication, however when it comes to scripts or written communication, the number diminishes, thus a need for transliteration tools which can convert text written in one language script to another script arises. Transliteration is mapping of pronunciation and articulation of words written in one script into another script. Transliteration should
    [Show full text]
  • A Survey of Software Localization Work
    Volume 4, No. 8, August 2013 Journal of Global Research in Computer Science REVIEW ARTICLE Available Online at www.jgrcs.info A SURVEY OF SOFTWARE LOCALIZATION WORK Manisha Bhatia*1, Varsha Tomar2 and Aparna Sharma3 *1Computer Science, Banasthali University, Jaipur, Rajasthan, India [email protected] 2Information Technology, Banasthali University, Jaipur, Rajasthan, India [email protected] 3Computer Science, Banasthali University, Jaipur, Rajasthan, India [email protected] Abstract: Localization concerns the translation of digital content and software, and their appropriate presentation to end users in different locales. Localization is important because having software, a website or other content in several languages, and meeting several sets of cultural expectations is an important international marketing advantage. This paper presents the difference between software localization, globalization and internationalization and compares the traditional document translation with respect to software localization. The paper further includes the survey of various localization software and software localization services, methods and tools available worldwide. As part of conclusion the steps followed for localizing a software project is included. We intend this paper to be useful to researchers and practitioners interested in software localization. Keywords: Localization (L10n), Internationalization (I18n), Globalization (G11n), Document Translation, Indic Computing. INTRODUCTION In computing, internationalization and localization are means of adapting computer software to different languages, Localization is the process of adapting a product or service regional differences and technical requirements of a target to a particular language, culture, and desired local "look- market. Internationalization (i18n) is the process of and-feel (Rouse, 2005). Software Localization is more than designing a software application so that it can be adapted to the translation of a product's User Interface.
    [Show full text]
  • Proposal for a Devanagari Script Root Zone Label Generation Rule-Set (LGR)
    Proposal for a Devanagari Script Root Zone Label Generation Rule-Set (LGR) LGR Version: 3.0 Date: 2018-07-27 Document version: 6.1 Authors: Neo-Brahmi Generation Panel [NBGP] 1 General Information/ Overview/ Abstract This document lays down the Label Generation Rule Set for the Devanagari script. Three main components of the Devanagari Script LGR i.e. Code point repertoire, Variants and Whole Label Evaluation Rules have been described in detail here. All these components have been incorporated in a machine-readable format in the accompanying XML file named "Proposal-lgr-devanagari-20180727.xml". In addition, a document named “Devanagari-test-labels-20180727.txt” has been provided. It contains a list of valid and invalid labels as per the Whole Label Evaluation laid down in Section 7 of this document. The labels have been tagged as valid and invalid under the specific rules1. In addition, the file also lists the set of labels which can produce variants as laid down in Section 6 of this document. 2 Script for which the LGR is proposed ISO 15924 Code: Deva ISO 15924 Key N°: 315 ISO 15924 English Name: Devanagari (Nagari) Latin transliteration of native script name: dévanâgarî 1 The categorization of invalid labels under specific rules is given as per the general understanding of the LGR Tool by the NBGP. During testing with any LGR tool, whether a particular label gets flagged under the same rule or the different one is totally dependent on the internal implementation of the LGR Tool. In case of discrepancy among the same, the fact that it is an invalid label should only be considered.
    [Show full text]
  • An Extensive Literature Review on CLIR and MT Activities in India
    International Journal of Scientific & Engineering Research Volume 4, Issue 2, February-2013 1 ISSN 2229-5518 An Extensive Literature Review on CLIR and MT activities in India Kumar Sourabh Abstract: This paper addresses the various developments in Cross Language IR and machine transliteration system in India, First part of this paper discusses the CLIR systems for Indian languages and second part discusses the machine translation systems for Indian languages. Three main approaches in CLIR are machine translation, a parallel corpus, or a bilingual dictionary. Machine translation- based (MT-based) approach uses existing machine translation techniques to provide automatic translation of queries. The information can be retrieved and utilized by the end users by integrating the MT system with other text processing services such as text summarization, information retrieval, and web access. It enables the web user to perform cross language information retrieval from the internet. Thus CLIR is naturally associated with MT (Machine Translation). This Survey paper covers the major ongoing developments in CLIR and MT with respect to following: Existing projects, Current projects, Status of the projects, Participants, Government efforts, Funding and financial aids, Eleventh Five Year Plan (2007-2012) activities and Twelfth Five Year Plan (2012- 2017) Projections. Keywords: Machine Translation, Cross Language Information Retrieval, NLP —————————— —————————— 1. INTRODUCTION: support truly cross-language retrieval. Many search engines Information retrieval (IR) system intends to retrieve relevant are monolingual but have the added functionality to carry out documents to a user query where the query is a set of translation of the retrieved pages from one language to keywords. Monolingual Information Retrieval - refers to the another, for example, Google, yahoo and AltaVista.
    [Show full text]