Tense and Types of Tense in Bengali Language
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Evolution, Optimization, and Language Change: the Case of Bengali Verb Inflections
Evolution, Optimization, and Language Change: The Case of Bengali Verb Inflections Monojit Choudhury1, Vaibhav Jalan2, Sudeshna Sarkar1, Anupam Basu1 1 Department of Computer Science and Engineering Indian Institute of Technology, Kharagpur, India {monojit,sudeshna,anupam}@cse.iitkgp.ernet.in 2 Department of Computer Engineering Malaviya National Institute of Technology, Jaipur, India [email protected] Abstract (e.g., Hare and Elman (1995); Dras et al. (2003); Ke et al. (2003); Choudhury et al. (2006b)), all the The verb inflections of Bengali underwent mathematical and computational models developed a series of phonological change between for explaining language change are built for artifi- 10th and 18th centuries, which gave rise cial toy languages. This has led several researchers to several modern dialects of the language. to cast a doubt on the validity of the current compu- In this paper, we offer a functional ex- tational models as well as the general applicability planation for this change by quantifying of computational techniques in diachronic explana- the functional pressures of ease of artic- tions (Hauser et al., 2002; Poibeau, 2006). ulation, perceptual contrast and learnabil- In this paper, we offer a functional explanation1 ity through objective functions or con- of a real world language change – the morpho- straints, or both. The multi-objective and phonological change affecting the Bengali verb multi-constraint optimization problem has inflections (BVI). We model the problem as a been solved through genetic algorithm, multi-objective and multi-constraint optimization whereby we have observed the emergence and solve the same using Multi-Objective Genetic of Pareto-optimal dialects in the system Algorithm2 (MOGA). -
An Alternative Account of English Consonant Cluster Adaptations in Bengali Dialects*
https://doi.org/10.24303/lakdoi.2019.27.3.99 An Alternative Account of English Consonant Cluster Adaptations in Bengali Dialects* Chin-Wan Chung (Chonbuk National University) Chung, Chin-Wan. (2019). An alternative account of English consonant cluster adaptations in Bengali dialects. The Linguistic Association of Korea Journal, 27(3), 99-123. This study provides a constraint-based analysis of cluster adaptations occurring in Bengali dialects such as spoken Bengali, Dhaka, and Sylheti when English complex words are realized by Bengali speakers or borrowed into Bengali. In spoken Bengali, speakers only employ epenthetic strategy when they realize onset clusters of English. For the selection of vowels, the neutral vowel of English is generally inserted between consonants but the high front vowel is prothesized when a cluster is composed of /s/ plus a voiceless stop. In Dhaka dialect, coda clusters are fixed by either insertion or deletion. Unlike spoken Bengali, the inserted vowel between sonorant consonants is affected by a neighboring vowel. Deletion of an obstruent normally occurs when a cluster consists of a sonorant plus an obstruent but an obstruent survives if a sonorant is dental liquid /r/ in Dhaka. Onset cluster adaptations in Sylheti is similar to that of spoken Bengali but one difference between the two dialects is that an interconsonantally inserted vowel is affected by a following vowel in Sylheti while spoken Bengali still maintains the quality of a neutral vowel. (Chonbuk National University) Key Words: consonant clusters, adaptations, insertion, deletion, repair strategy 1. Introduction * This research was supported by “Research Base Construction Fund Support Program” funded by Chonbuk National University in 2019. -
Map by Steve Huffman; Data from World Language Mapping System
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Languages of New York State Is Designed As a Resource for All Education Professionals, but with Particular Consideration to Those Who Work with Bilingual1 Students
TTHE LLANGUAGES OF NNEW YYORK SSTATE:: A CUNY-NYSIEB GUIDE FOR EDUCATORS LUISANGELYN MOLINA, GRADE 9 ALEXANDER FFUNK This guide was developed by CUNY-NYSIEB, a collaborative project of the Research Institute for the Study of Language in Urban Society (RISLUS) and the Ph.D. Program in Urban Education at the Graduate Center, The City University of New York, and funded by the New York State Education Department. The guide was written under the direction of CUNY-NYSIEB's Project Director, Nelson Flores, and the Principal Investigators of the project: Ricardo Otheguy, Ofelia García and Kate Menken. For more information about CUNY-NYSIEB, visit www.cuny-nysieb.org. Published in 2012 by CUNY-NYSIEB, The Graduate Center, The City University of New York, 365 Fifth Avenue, NY, NY 10016. [email protected]. ABOUT THE AUTHOR Alexander Funk has a Bachelor of Arts in music and English from Yale University, and is a doctoral student in linguistics at the CUNY Graduate Center, where his theoretical research focuses on the semantics and syntax of a phenomenon known as ‘non-intersective modification.’ He has taught for several years in the Department of English at Hunter College and the Department of Linguistics and Communications Disorders at Queens College, and has served on the research staff for the Long-Term English Language Learner Project headed by Kate Menken, as well as on the development team for CUNY’s nascent Institute for Language Education in Transcultural Context. Prior to his graduate studies, Mr. Funk worked for nearly a decade in education: as an ESL instructor and teacher trainer in New York City, and as a gym, math and English teacher in Barcelona. -
Map by Steve Huffman Data from World Language Mapping System 16
Tajiki Tajiki Tajiki Shughni Southern Pashto Shughni Tajiki Wakhi Wakhi Wakhi Mandarin Chinese Sanglechi-Ishkashimi Sanglechi-Ishkashimi Wakhi Domaaki Sanglechi-Ishkashimi Khowar Khowar Khowar Kati Yidgha Eastern Farsi Munji Kalasha Kati KatiKati Phalura Kalami Indus Kohistani Shina Kati Prasuni Kamviri Dameli Kalami Languages of the Gawar-Bati To rw al i Chilisso Waigali Gawar-Bati Ushojo Kohistani Shina Balti Parachi Ashkun Tregami Gowro Northwest Pashayi Southwest Pashayi Grangali Bateri Ladakhi Northeast Pashayi Southeast Pashayi Shina Purik Shina Brokskat Aimaq Parya Northern Hindko Kashmiri Northern Pashto Purik Hazaragi Ladakhi Indian Subcontinent Changthang Ormuri Gujari Kashmiri Pahari-Potwari Gujari Bhadrawahi Zangskari Southern Hindko Kashmiri Ladakhi Pangwali Churahi Dogri Pattani Gahri Ormuri Chambeali Tinani Bhattiyali Gaddi Kanashi Tinani Southern Pashto Ladakhi Central Pashto Khams Tibetan Kullu Pahari KinnauriBhoti Kinnauri Sunam Majhi Western Panjabi Mandeali Jangshung Tukpa Bilaspuri Chitkuli Kinnauri Mahasu Pahari Eastern Panjabi Panang Jaunsari Western Balochi Southern Pashto Garhwali Khetrani Hazaragi Humla Rawat Central Tibetan Waneci Rawat Brahui Seraiki DarmiyaByangsi ChaudangsiDarmiya Western Balochi Kumaoni Chaudangsi Mugom Dehwari Bagri Nepali Dolpo Haryanvi Jumli Urdu Buksa Lowa Raute Eastern Balochi Tichurong Seke Sholaga Kaike Raji Rana Tharu Sonha Nar Phu ChantyalThakali Seraiki Raji Western Parbate Kham Manangba Tibetan Kathoriya Tharu Tibetan Eastern Parbate Kham Nubri Marwari Ts um Gamale Kham Eastern -
CHAPTER-V · Linguistic Question : a Cultural Resurgence CHAPTER-V LINGUISTIC QUESTION: a CULTURAL RESURGENCE
CHAPTER-V · Linguistic Question : A Cultural Resurgence CHAPTER-V LINGUISTIC QUESTION: A CULTURAL RESURGENCE. Language is one of the major issues of socio-cultural aspect of a community. The language/ dialect of Northeastern part of India is genetically of the eastern group of the Indo- Aryan family (along with~ at least Oriy_a, B.angla and Assamiy~) with in the member of th~ Putative Bengali- Assames sub- group .1 There is a general view among the scholars that this language/ dialect is spoken in East Purnea district of Bihar, Morang and Jhapa districts of Nepal; Jalpaiguri, Cooch Behar, Darjeeling and Dinajpur ,Maida· districts of West Bengal ; the old Goalpara district of Assam (now Dhubri, Bongaigaon, Kokrajhar, Goalpara); Rangpur, Dinajpur and Mymensingh district of Bangladesh.2 The spoken language of the Rajbanshi people has been identified in various way such as northern dialect of Bengali, 3 Goalparia dialect of Assamese, 4 Kamta, 5 Kamrupi, 6 Deshi, 7 Kamtai language, 8 Kamta Behari9 etc. Sir George A. Grierson in his Linguistic Survey of India has first mentioned the ·language used by the Rajbanshis of Rangpur, Darjeeling, . 10 . Cooch Behar, Jalpaiguri, and Goalpara as a separate dialect. He named this dialect as 'Rajbanshi' since this is spoken mostly by the Rajbanshis but he considered it a dialect of Bengali itself. 11 Rajbanshi dialect accordiQg to Grierson "belong to.. the eastern variety of th~ language, has still points of different, which entitle it to be classes as a separate dialect. It has one sub- dialect called 'Bahe' spoken in the Darjeeling Teari." 12 Grierson also argued that the Koches who adopted Hinduism and Islam generally speak the Rajbanshi dialect and it is called the 'Rangpuri'. -
E-Learning and Wellbeing of Those in Poverty in Bangladesh
E-learning and wellbeing of those in poverty in Bangladesh By: Abureza M. Muzareba A thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy The University of Sheffield Faculty of Social Sciences Department of Sociological Studies November 2016 i ABSTRACT Despite increased use of e-learning in formal learning, those in poverty in rural Bangladesh have inadequate idea of it and its usefulness in their lived reality. My research examines how e-learning can support to enhance their sense of wellbeing. I conducted a qualitative case study to understand: how capability development is related to e-learning, the resource requirements for e-learning, the roles of community, and social embeddedness aspects of e-learning. Drawing on the concept of capability approach, I developed my arguments based on the views shared by respective users of e-learning, project officials, government officials and experts in the areas of ICT and development. My research shows that, in principle, e-learning can foster rural people’s wellbeing by offering freedom of learning through ICT. In the process of learning and developing awareness, skills, and knowledge, e-learning can help them to deal with labour intensive lifestyles, poor economic status, gender inequalities, and limited institutional provisions for informal and formal means of learning. However, it depends on certain vital factors to work as a means of wellbeing in rural Bangladesh. These are: access to ICT, trust, local support, content, and funding. It needs a particular configuration of these factors with a specific arrangement of the related resources, in a setting where social embeddedness aspects are appropriately integrated. -
Iouo Iouo Iouo Iouo Iouo Iouo Iouo Iouo Iouo Iouo Iouo Iouo Iouo Iouo Iouo Iouo Iouo Iouo Iouo Iouo Iouo Iouo Iouo Iouo Iouo
Asia No. Language [ISO 639-3 Code] Country (Region) 1 A’ou [aou] Iouo China 2 Abai Sungai [abf] Iouo Malaysia 3 Abaza [abq] Iouo Russia, Turkey 4 Abinomn [bsa] Iouo Indonesia 5 Abkhaz [abk] Iouo Georgia, Turkey 6 Abui [abz] Iouo Indonesia 7 Abun [kgr] Iouo Indonesia 8 Aceh [ace] Iouo Indonesia 9 Achang [acn] Iouo China, Myanmar 10 Ache [yif] Iouo China 11 Adabe [adb] Iouo East Timor 12 Adang [adn] Iouo Indonesia 13 Adasen [tiu] Iouo Philippines 14 Adi [adi] Iouo India 15 Adi, Galo [adl] Iouo India 16 Adonara [adr] Iouo Indonesia Iraq, Israel, Jordan, Russia, Syria, 17 Adyghe [ady] Iouo Turkey 18 Aer [aeq] Iouo Pakistan 19 Agariya [agi] Iouo India 20 Aghu [ahh] Iouo Indonesia 21 Aghul [agx] Iouo Russia 22 Agta, Alabat Island [dul] Iouo Philippines 23 Agta, Casiguran Dumagat [dgc] Iouo Philippines 24 Agta, Central Cagayan [agt] Iouo Philippines 25 Agta, Dupaninan [duo] Iouo Philippines 26 Agta, Isarog [agk] Iouo Philippines 27 Agta, Mt. Iraya [atl] Iouo Philippines 28 Agta, Mt. Iriga [agz] Iouo Philippines 29 Agta, Pahanan [apf] Iouo Philippines 30 Agta, Umiray Dumaget [due] Iouo Philippines 31 Agutaynen [agn] Iouo Philippines 32 Aheu [thm] Iouo Laos, Thailand 33 Ahirani [ahr] Iouo India 34 Ahom [aho] Iouo India 35 Ai-Cham [aih] Iouo China 36 Aimaq [aiq] Iouo Afghanistan, Iran 37 Aimol [aim] Iouo India 38 Ainu [aib] Iouo China 39 Ainu [ain] Iouo Japan 40 Airoran [air] Iouo Indonesia 1 Asia No. Language [ISO 639-3 Code] Country (Region) 41 Aiton [aio] Iouo India 42 Akeu [aeu] Iouo China, Laos, Myanmar, Thailand China, Laos, Myanmar, Thailand, -
L2 Inflectional Morphology and Prosody: the Case of L1 Bengali
L2 Inflectional Morphology and Prosody: The Case of L1 Bengali Speakers of L2 English Jacqueline Ingham A thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy Department of English Language and Linguistics University of Sheffield March 2019 Acknowledgements First and foremost, I would like to express my sincerest gratitude and appreciation to my supervisor, Dr. Kook-Hee Gil. Kook-Hee has been the most supportive, accessible and patient supervisor that I could have wished for, and has encouraged me throughout. I have learned so much and enjoyed every minute of it. Thank you. I would also like to thank my second supervisor, Dr. Ranjan Sen, especially in guiding me though my analysis of the morphophonology of Bengali and also in directing me towards Dr. Jean Russell. My thanks go to Jean for such kindly given help. I would also like to thank Kook-Hee for introducing me to, amongst others, Dr. Ivan Yuen, who provided me with such helpful insight. Many thanks also to Dr. Patrycja Strycharczuk, Dr. Robyn Orfitelli and Prof. George Tsoulas, who have all helped me along the way. I would also like to express my thanks and appreciation to my internal and external examiners, Dr. Gareth Walker and Dr. Alex Ho-Cheong Leung. There are many people who are not named in this acknowledgment who have been influential in making my time of study at the University of Sheffield so enjoyable and fulfilling. My thanks, therefore, also go to the academic and administrative staff in the School of English, who create such a positive environment and provide so much background support. -
Map by Steve Huffman Data from World Language Mapping System 16
Mandarin Chinese Evenki Oroqen Tuva China Buriat Russian Southern Altai Oroqen Mongolia Buriat Oroqen Russian Evenki Russian Evenki Mongolia Buriat Kalmyk-Oirat Oroqen Kazakh China Buriat Kazakh Evenki Daur Oroqen Tuva Nanai Khakas Evenki Tuva Tuva Nanai Languages of China Mongolia Buriat Tuva Manchu Tuva Daur Nanai Russian Kazakh Kalmyk-Oirat Russian Kalmyk-Oirat Halh Mongolian Manchu Salar Korean Ta tar Kazakh Kalmyk-Oirat Northern UzbekTuva Russian Ta tar Uyghur SalarNorthern Uzbek Ta tar Northern Uzbek Northern Uzbek RussianTa tar Korean Manchu Xibe Northern Uzbek Uyghur Xibe Uyghur Uyghur Peripheral Mongolian Manchu Dungan Dungan Dungan Dungan Peripheral Mongolian Dungan Kalmyk-Oirat Manchu Russian Manchu Manchu Kyrgyz Manchu Manchu Manchu Northern Uzbek Manchu Manchu Manchu Manchu Manchu Korean Kyrgyz Northern Uzbek West Yugur Peripheral Mongolian Ainu Sarikoli West Yugur Manchu Ainu Jinyu Chinese East Yugur Ainu Kyrgyz Ta jik i Sarikoli East Yugur Sarikoli Sarikoli Northern Uzbek Wakhi Wakhi Kalmyk-Oirat Wakhi Kyrgyz Kalmyk-Oirat Wakhi Kyrgyz Ainu Tu Wakhi Wakhi Khowar Tu Wakhi Uyghur Korean Khowar Domaaki Khowar Tu Bonan Bonan Salar Dongxiang Shina Chilisso Kohistani Shina Balti Ladakhi Japanese Northern Pashto Shina Purik Shina Brokskat Amdo Tibetan Northern Hindko Kashmiri Purik Choni Ladakhi Changthang Gujari Kashmiri Pahari-Potwari Gujari Japanese Bhadrawahi Zangskari Kashmiri Baima Ladakhi Pangwali Mandarin Chinese Churahi Dogri Pattani Gahri Japanese Chambeali Tinani Bhattiyali Gaddi Kanashi Tinani Ladakhi Northern Qiang -
Data Source : Todd M. Johnson, Ed., World Christian Database (Leiden/Boston: Brill, July, 2014)
Least evangelized megapeoples 1 The globe’s largest unevangelized peoples: 247 Peoples over 1 million in population in the year 2015 and less than 50% evangelized. Data source : Todd M. Johnson, ed., World Christian Database (Leiden/Boston: Brill, July, 2014). Country People Name Population 2015 Language Autoglossonym Christians Chr% Evangelized Ev% Afghanistan Afghani Tajik (Tadzhik) 8,002,000 tajiki-afghanistan 800 0.0% 1,601,000 20.0% Afghanistan Hazara (Berberi) 2,604,000 hazaragi central 1,000 0.0% 574,000 22.0% Afghanistan Pathan (Pukhtun, Afghani) 11,995,000 pashto 2,400 0.0% 2,761,000 23.0% Afghanistan Southern Pathan 1,600,000 paktyan-pashto 320 0.0% 198,000 12.4% Afghanistan Southern Uzbek 2,590,000 özbek south 260 0.0% 466,000 18.0% Algeria Algerian Arab 23,684,000 jaza'iri general 9,500 0.0% 9,128,000 38.5% Algeria Arabized Berber 1,219,000 jaza'iri general 1,200 0.1% 544,000 44.6% Algeria Central Shilha (Beraber) 1,483,000 ta-mazight 300 0.0% 378,000 25.5% Algeria Hamyan Bedouin 2,836,000 hassaniyya 280 0.0% 582,000 20.5% Algeria Lesser Kabyle (Eastern) 1,002,000 tha-qabaylith east 5,000 0.5% 421,000 42.0% Algeria Shawiya (Chaouia) 2,129,000 shawiya 0 0.0% 479,000 22.5% Algeria Southern Shilha (Shleuh) 1,113,000 ta-shelhit 1,000 0.1% 363,000 32.6% Algeria Tajakant Bedouin 1,666,000 hassaniyya 0 0.0% 262,000 15.8% Azerbaijan Azerbaijani (Azeri Turk) 8,182,000 azeri north 820 0.0% 2,701,000 33.0% Bangladesh Chittagonian 13,475,000 bangla-chittagong 17,500 0.1% 5,542,000 41.1% Bangladesh Rangpuri (Rajbansi) 10,170,000 rajbangshi -
ONLINE APPENDIX: Not for Print Publication
ONLINE APPENDIX: not for print publication A Additional Tables and Figures Figure A1: Permutation Tests Panel A: Female Labor Force Participation Panel B: Gender Difference in Labor Force Participation A1 Table A1: Cross-Country Regressions of LFP Ratio Dependent variable: LFPratio Specification: OLS OLS OLS (1) (2) (3) Proportion speaking gender language -0.16 -0.25 -0.18 (0.03) (0.04) (0.04) [p < 0:001] [p < 0:001] [p < 0:001] Continent Fixed Effects No Yes Yes Country-Level Geography Controls No No Yes Observations 178 178 178 R2 0.13 0.37 0.44 Robust standard errors are clustered by the most widely spoken language in all specifications; they are reported in parentheses. P-values are reported in square brackets. LFPratio is the ratio of the percentage of women in the labor force, mea- sured in 2011, to the percentage of men in the labor force. Geography controls are the percentage of land area in the tropics or subtropics, average yearly precipitation, average temperature, an indicator for being landlocked, and the Alesina et al. (2013) measure of suitability for the plough. A2 Table A2: Cross-Country Regressions of LFP | Including \Bad" Controls Dependent variable: LFPf LFPf - LFPm Specification: OLS OLS (1) (2) Proportion speaking gender language -6.66 -10.42 (2.80) (2.84) [p < 0:001] [p < 0:001] Continent Fixed Effects Yes Yes Country-Level Geography Controls Yes Yes Observations 176 176 R2 0.57 0.68 Robust standard errors are clustered by the most widely spoken language in all specifications; they are reported in parentheses.