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Examining Covert Gender Bias: A Case Study in Turkish and English Machine Translation Models [article]

Chloe Ciora, Nur Iren, Malihe Alikhani
2021 arXiv   pre-print
Through the use of the gender-neutral language Turkish and the gendered language English, we examine cases of both overt and covert gender bias in MT models.  ...  While overt indicators of bias have been studied in machine translation, we argue that covert biases expose a problem that is further entrenched.  ...  Acknowledgements We would like to thank Sami Iren for his assistance and insights in verifying our translation data sets for accuracy.  ... 
arXiv:2108.10379v1 fatcat:gb52jx5r7nhc7hwvqtjznu7szi

Warmth and Competence as Universal Dimensions of Social Perception: The Stereotype Content Model and the BIAS Map [chapter]

Amy J.C. Cuddy, Susan T. Fiske, Peter Glick
2008 Advances in Experimental Social Psychology  
The authors wish to thank their joint and respective research collaborators for stimulating intellectual support.  ...  ACKNOWLEDGMENTS Preparation of this chapter was facilitated by research funds from the Kellogg School of Management at Northwestern University and from Princeton University.  ...  A Belgian sample rated groups from American studies (Fiske et al ., 2002b, Study 2) , but translated into French.  ... 
doi:10.1016/s0065-2601(07)00002-0 fatcat:glzfyjddrrd5nh6lfdbh4pet7y

On the Integration of LinguisticFeatures into Statistical and Neural Machine Translation [article]

Eva Vanmassenhove
2020 arXiv   pre-print
We identify overgeneralization or 'algorithmic bias' as a potential drawback of neural MT and link it to many of the remaining linguistic issues.  ...  The problems range from simple number and gender agreement errors to more complex phenomena such as the correct translation of aspectual values and tenses.  ...  provides an overview of issues related to gender in Machine Translation and Sun et al. (2019) a literature review of work related to gender bias in the field of NLP.  ... 
arXiv:2003.14324v1 fatcat:hjmii6oob5cx3oxxmwlkzuqlgu

Artificial intelligence language models and the false fantasy of participatory language policies

Mandy Lau
2021 Working papers in Applied Linguistics and Linguistics at York  
I argue that neural language models represent a covert and oppressive form of language policy that benefits the privileged and harms the marginalized.  ...  However, the promise of a more participatory, just, and emancipatory language policy as a result of neural language models is a false fantasy.  ...  In this paper, I argue that neural language models represent a covert and oppressive form of language policy that benefits the privileged and harms the marginalized.  ... 
doi:10.25071/2564-2855.5 fatcat:fnb7riqntvfc7of4yw3j6ev4j4

Proceedings of ULAB 2021 [article]

Lydia Wiernik
2021 Zenodo  
Acknowledgements I would first and foremost want to express my gratitude to all the individuals who agreed to participate in this study.  ...  If I am a better researcher, it is because she always showed me a new perspective, especially in things I took for granted.  ...  lead to biased and subjective data.  ... 
doi:10.5281/zenodo.5517963 fatcat:2cn6akx63rh2pehlogd4qlduby

Interpersonal rhetoric of attitude in news

Mona Bahmani, Ahlam Alharbi
2019 Pragmatics and Society  
Drawing on principles of Critical Discourse Analysis (CDA) and Systemic Functional Linguistics (SFL) the proposed study examined and compared the attitudinal positioning of both CNN and Al-Jazeera English  ...  This is not surprising, given that the function of judgment is to judge people and their actions rather than things. This may explain why AJE news coverage is biased.  ...  A detailed examination of the nature and processes involved in news translation problematises central concepts such as authorship and equivalence and leads Translation Studies in new directions."  ... 
doi:10.1075/ps.13016.bah fatcat:ncij4tsmr5ehnnd3hbtu6emnfy

The Development of Study Skill Tools in Evaluating Student's Study Orientation Skills and Its Relationship towards Academic Performance

Mohd Ghani Awang, Suriya Kumar Sinnadurai
2011 Journal of Language Teaching and Research  
This study examines one of the cases who has a language learning problem. III.  ...  Nowadays, TG theory and some other methods such as corpus technique are widely used in machine translation.  ...  It's important to study in groups in order to learn English well. ( ) 7. Students can learn English better by studying alone than by working with others. ( ) 8.  ... 
doi:10.4304/jltr.2.2.314-322 fatcat:gaodi6uavjeb5gevikilqaabbe

Embracing Children's Right to Decisional Privacy in Proceedings under the Family Law Act 1975 (Cth): In Children's Best Interests or a Source of Conflict?

Georgina Dimopoulos
2018 Social Science Research Network  
Out of the received submissions, 55 papers were accepted for oral presentation during the conference and for inclusion in this volume.  ...  The papers were reviewed by at least two independent reviewers under a double-blind peer review process.  ...  Kelli Everton, you were the first to find worthwhile in my writing and have remained a constant source of unyielding faith and support.  ... 
doi:10.2139/ssrn.3303395 fatcat:zzdl7susi5duxegqmc5htrhxeu

Introduction [chapter]

Lisa R. Arnold, Anne Nebel, Lynne Ronesi
2017 Emerging Writing Research from the Middle East-North Africa Region  
Subjects: LCSH: English language-Rhetoric-Study and teaching (Higher)-Middle East. | English language-Rhetoric-Study and teaching (Higher)-Africa, North. | English language-Rhetoric-Study and teaching  ...  The series aims to examine writing activities in 21st-century contexts, particularly how they are informed by globalization, national identity, social networking, and increased cross-cultural communication  ...  Second, a field study explores the influences of the state publishing policies on both Turkish and English academic writing instruction in two major universities in Ankara (one Turkish-and one English-medium  ... 
doi:10.37514/int-b.2017.0896.1.3 fatcat:w2pfhuclyjhhfkgnq2jflhefsq

3 The Multilingual Brain: Implications for the Future [chapter]

Valéria Csépe, Simone E. Pfenninger, Judit Navracsics
2017 Future Research Directions for Applied Linguistics  
, teachers and policy makers in general whose interests include a second language acquisition component.  ...  This series brings together titles dealing with a variety of aspects of language acquisition and processing in situations where a language or languages other than the native language is involved.  ...  a study on the loss and retention of Russian as a foreign language in Hungary, with a special focus on the attitudes towards language learning, Russian people, teacher(s) of Russian, and the Russian language  ... 
doi:10.21832/9781783097135-004 fatcat:mdw4r3hc5be6hdbnaz2elot2le

Subtle Gender Stereotypes in the News Media and Their Role in Reinforcing a Culture Tolerating Violence Against Women [chapter]

Monia Azzalini
2020 Language, Gender and Hate Speech A Multidisciplinary Approach  
This paper examines how news media play a crucial role in tolerating gender-based violence by constantly reinforcing 'subtle' gender stereotypes.  ...  After presenting the institutional background in which media, gender stereotypes and gender-based violence have been studied over the last 30 years, subtle gender stereotypes are defined as those stereotypes  ...  This work is the result of a close cooperation, from the beginning of the design phase onwards, between the three authors. For academic purposes, L.  ... 
doi:10.30687/978-88-6969-478-3/012 fatcat:kz6tzey7obat5c4z2mfcszq2ze

Statistical Parsing by Machine Learning from a Classical Arabic Treebank [article]

Kais Dukes
2015 arXiv   pre-print
Research into statistical parsing for English has enjoyed over a decade of successful results. However, adapting these models to other languages has met with difficulties.  ...  As a reference, a pure dependency parser is adapted using graph transformations, resulting in an 87.47% F1-score.  ...  The question that divides us is whether it is crazy enough to have a chance of being correct. -Niels Bohr  ... 
arXiv:1510.07193v1 fatcat:mkx5gtgehrgfjjy5xmwowxgasq

Analyzing Non-Textual Content Elements to Detect Academic Plagiarism

Norman Meuschke, Bela Gipp, Harald Reiterer, Michael L. Nelson
2021 Zenodo  
The process includes established image similarity assessments and newly proposed use-case-specific methods.  ...  The thesis addresses this problem by proposing plagiarism detection approaches that implement a different concept—analyzing non-textual content in academic documents, such as citations, images, and mathematical  ...  The subset comprises aligned German-English and Spanish-English test cases. Most of the cases were obtained via statistical machine translation.  ... 
doi:10.5281/zenodo.4913344 fatcat:xmpaahvwuva53l5l5i2gaidvi4

Language learning and teaching – theory and practice

1991 Language Teaching  
Teaching foreign language and culture: social impact and political significance.  ...  The political contexts -dealing only with the demographic, statutory, administrative and sociopolitical aspects -are numerous as well.  ...  Two case studies demonstrate how a content-based approach can be used; one in a university setting and one in a military setting.  ... 
doi:10.1017/s0261444800006182 fatcat:z4tcdbixozfqjcfwjnwb7lcz4e

Abstracts of the 20th European Conference on Eye Movements, 18-22 August 2019, in Alicante (Spain)

Susana Martinez-Conde, Luis Martinez-Otero, Albert Compte, Rudolf Groner
2019 Journal of Eye Movement Research  
This document contains all abstracts of the 20th European Conference on Eye Movements, August 18-22, 2019, in Alicante, Spain Video stream "Glimpses at 20th ECEM": https://vimeo.com/user43478756.  ...  Reward was calculated as a fraction of the maximum depending on the performance (accuracy and speed).  ...  Higher dopamine levels led to faster simple reaction times but not choice reaction times and a trend towards higher reward sensitivity was observed. Data collection is currently ongoing.  ... 
doi:10.16910/jemr.12.7.1 pmid:33828763 pmcid:PMC7917478 fatcat:wqzwn552cndsnablyikzx3og5e
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