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Multilingual models have demonstrated impressive cross-lingual transfer performance.
A survey of code-switched speech and language processing
Sunayana Sitaram, Khyathi Raghavi Chandu, Sai Krishna Rallabandi, and Alan W Black. 2019 · 1904
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Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, and Jamie Brew. 2019 · 1910
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Toward structuring code-mixing: An indian perspective
Braj B Kachru. 1978 · 1978
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Sometimes i’ll start a sentence in spanish y termino en español: toward a typology of code-switching
Shana Poplack. 1980 · 1980
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The syntax and psycholinguistics of bilingual code mixing
Shikaripur N Sridhar and Kamal K Sridhar. 1980 · 1980
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Adversarial attacks on deep-learning models in natural language processing: A survey
Wei Emma Zhang, Quan Z. Sheng, Ahoud Alhazmi, and Chenliang Li. 2020 · 1980
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Processing of sentences with intra-sentential code-switching
Aravind K. Joshi. 1982 · 1982
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Dc statistical circuit analysis for bipolar ic’s using parameter correlations-an experimental example
Dileep A Divekar. 1984 · 1984
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The social correlates and linguistic processes of lexical borrowing and assimilation
Shana Poplack, David Sankoff, and Christopher Miller. 1988 · 1988
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A description of patterns of code-mixing and code-switching in a multilingual household
Peck Tung Tan. 1988 · 1988
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Code switching and code mixing as a communicative strategy in multilingual discourse
Mary W. J. Tay. 1989 · 1989
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Wordnet: A lexical database for english
George A. Miller. 1995 · 1995
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Duelling languages: Grammatical structure in codeswitching
Carol Myers-Scotton. 1997 · 1997
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Multimix: A robust data augmentation framework for cross-lingual nlp
M Saiful Bari, Tasnim Mohiuddin, and Shafiq Joty. 2020 · 2004
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Xglue: A new benchmark dataset for cross-lingual pre-training, understanding and generation
Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Daniel Campos, Rangan Majumder, and Ming Zhou. 2020 · 2004
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Masoud Jalili Sabet, Philipp Dufter, and Hinrich Schütze. 2020 · 2004
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Benjamin Muller, Benoit Sagot, and Djamé Seddah. 2020 · 2005
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Word Sense Disambiguation: Algorithms and Applications , 1st edition
Eneko Agirre and Philip Edmonds. 2007 · 2007
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Grammatical borrowing in cross-linguistic perspective , volume 38
Yaron Matras and Jeanette Sakel. 2007 · 2007
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Multilingualism as a new linguistic dispensation
Larissa Aronin and David Singleton. 2008 · 2008
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Statistical Machine Translation , 1st edition
Philipp Koehn. 2010 · 2010
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The multilingual mind, optimization theory, and hinglish
Tej K Bhatia. 2011 · 2011
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Inducing crosslingual distributed representations of words
Alexandre Klementiev, Ivan Titov, and Binod Bhattarai. 2012 · 2012
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Code switching and code mixing in arabic written advertisements: Patterns, aspects, and the question of prestige and standardisation
Ghazi M Abuhakema. 2013 · 2013
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The effect of bilingualism on creativity: Developmental and educational perspectives
Mark Leikin. 2013 · 2013
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“i am borrowing ya mixing?” an analysis of english-hindi code mixing in facebook
Kalika Bali, Jatin Sharma, Monojit Choudhury, and Yogarshi Vyas. 2014 · 2014
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Code mixing: A challenge for language identification in the language of social media
Utsab Barman, Amitava Das, Joachim Wagner, and Jennifer Foster. 2014 · 2014
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Overview for the first shared task on language identification in code-switched data
Thamar Solorio, Elizabeth Blair, Suraj Maharjan, Steven Bethard, Mona Diab, Mahmoud Ghoneim, Abdelati Hawwari, Fahad AlGhamdi, Julia Hirschberg, Alison Chang, and Pascale Fung. 2014 · 2014
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, and Rob Fergus. 2014 · 2014
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Transnationalism, multilingualism, and identity
Patricia A Duff. 2015 · 2015
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Explaining and harnessing adversarial examples
Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy. 2015 · 2015
Cited alongside, same era.
The role of code-switching in bilingual creativity
Anatoliy V Kharkhurin and Li Wei. 2015 · 2015
Cited alongside, same era.
Code-switching and social change: Convergent language mixing in a multilingual society
Kofi Yakpo. 2015 · 2015
Cited alongside, same era.
PyThaiNLP: Thai Natural Language Processing in Python
Wannaphong Phatthiyaphaibun, Korakot Chaovavanich, Arthit Suriyawongkul Charin Polpanumas, Lalita Lowphansirikul, and Pattarawat Chormai. 2016 · 2016
Cited alongside, same era.
SQuAD: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Cited alongside, same era.
Cross-language learning with adversarial neural networks
openTSNE: a modular Python library for t-SNE dimensionality reduction and embedding
Pavlin G. Poličar, Martin Stražar, and Blaž Zupan. 2019 · 2019
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Screenomics: A framework to capture and analyze personal life experiences and the ways that technology shapes them
Byron Reeves, Nilam Ram, Thomas N Robinson, James J Cummings, C Lee Giles, Jennifer Pan, Agnese Chiatti, MJ Cho, Katie Roehrick, Xiao Yang, et al. 2019 · 2019
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Generating natural language adversarial examples through probability weighted word saliency
Shuhuai Ren, Yihe Deng, Kun He, and Wanxiang Che. 2019 · 2019
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MASS: Masked sequence to sequence pre-training for language generation
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, and Tie-Yan Liu. 2019 · 2019
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Robustness may be at odds with accuracy
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Alexander Turner, and Aleksander Madry. 2019 · 2019
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Shafiq Joty, Preslav Nakov, Lluís Màrquez, and Israa Jaradat. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł \L ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Generating natural language adversarial examples
Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani Srivastava, and Kai-Wei Chang. 2018 · 2018
Cited alongside, same era.
Part-of-speech tagging for code-switched, transliterated texts without explicit language identification
Kelsey Ball and Dan Garrette. 2018 · 2018
Cited alongside, same era.
Comparing attention-based convolutional and recurrent neural networks: Success and limitations in machine reading comprehension
Matthias Blohm, Glorianna Jagfeld, Ekta Sood, Xiang Yu, and Ngoc Thang Vu. 2018 · 2018
Cited alongside, same era.
Adversarial deep averaging networks for cross-lingual sentiment classification
Xilun Chen, Yu Sun, Ben Athiwaratkun, Claire Cardie, and Kilian Weinberger. 2018 · 2018
Cited alongside, same era.
XNLI: Evaluating cross-lingual sentence representations
Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel Bowman, Holger Schwenk, and Veselin Stoyanov. 2018 · 2018
Cited alongside, same era.
Universal adversarial triggers for attacking and analyzing NLP
Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, and Sameer Singh. 2019 · 2019
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Code-switched language models using neural based synthetic data from parallel sentences
Genta Indra Winata, Andrea Madotto, Chien-Sheng Wu, and Pascale Fung. 2019 · 2019
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Beto, bentz, becas: The surprising cross-lingual effectiveness of bert
Shijie Wu and Mark Dredze. 2019 · 2019
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Generating fluent adversarial examples for natural languages
Huangzhao Zhang, Hao Zhou, Ning Miao, and Lei Li. 2019 · 2019
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From English to code-switching: Transfer learning with strong morphological clues
Gustavo Aguilar and Thamar Solorio. 2020 · 2020
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What code-switching strategies are effective in dialogue systems?
Emily Ahn, Cecilia Jimenez, Yulia Tsvetkov, and Alan Black. 2020 · 2020
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Should all cross-lingual embeddings speak English?
Antonios Anastasopoulos and Graham Neubig. 2020 · 2020
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On the cross-lingual transferability of monolingual representations
Mikel Artetxe, Sebastian Ruder, and Dani Yogatama. 2020 · 2020
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Do multilingual users prefer chat-bots that code-mix? let’s nudge and find out!
Anshul Bawa, Pranav Khadpe, Pratik Joshi, Kalika Bali, and Monojit Choudhury. 2020 · 2020
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BAE: BERT-based adversarial examples for text classification
Siddhant Garg and Goutham Ramakrishnan. 2020 · 2020
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Adversarial attack and defense of structured prediction models
Wenjuan Han, Liwen Zhang, Yong Jiang, and Kewei Tu. 2020 · 2020
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Is BERT really robust? A strong baseline for natural language attack on text classification and entailment
Di Jin, Zhijing Jin, Joey Tianyi Zhou, and Peter Szolovits. 2020 · 2020
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Cross-lingual ability of multilingual bert: An empirical study
Karthikeyan K, Zihan Wang, Stephen Mayhew, and Dan Roth. 2020 · 2020
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GLUECoS: An evaluation benchmark for code-switched NLP
Simran Khanuja, Sandipan Dandapat, Anirudh Srinivasan, Sunayana Sitaram, and Monojit Choudhury. 2020 · 2020
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From zero to hero: On the limitations of zero-shot language transfer with multilingual transformers
Anne Lauscher, Vinit Ravishankar, Ivan Vulić, and Goran Glavaš. 2020 · 2020
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Semeval-2020 task 9: Overview of sentiment analysis of code-mixed tweets
Parth Patwa, Gustavo Aguilar, Sudipta Kar, Suraj Pandey, Srinivas PYKL, Björn Gambäck, Tanmoy Chakraborty, Thamar Solorio, and Amitava Das. 2020 · 2020
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Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals
M. Popel, M. Tomková, J. Tomek, Łukasz Kaiser, Jakob Uszkoreit, Ondrej Bojar, and Z. Žabokrtský. 2020 · 2020
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Processing South Asian languages written in the Latin script: the Dakshina dataset
Brian Roark, Lawrence Wolf-Sonkin, Christo Kirov, Sabrina J. Mielke, Cibu Johny, Işin Demirşahin, and Keith Hall. 2020 · 2020
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LAReQA: Language-agnostic answer retrieval from a multilingual pool
Uma Roy, Noah Constant, Rami Al-Rfou, Aditya Barua, Aaron Phillips, and Yinfei Yang. 2020 · 2020
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Mind your inflections! Improving NLP for non-standard Englishes with Base-Inflection Encoding
Samson Tan, Shafiq Joty, Lav Varshney, and Min-Yen Kan. 2020b · 2020
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OPUS-MT — Building open translation services for the World
Jörg Tiedemann and Santhosh Thottingal. 2020 · 2020
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Code-switching pre-training for neural machine translation
Zhen Yang, Bojie Hu, Ambyera Han, Shen Huang, and Qi Ju. 2020 · 2020
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Word-level textual adversarial attacking as combinatorial optimization
Yuan Zang, Fanchao Qi, Chenghao Yang, Zhiyuan Liu, Meng Zhang, Qun Liu, and Maosong Sun. 2020 · 2020
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Domain-adversarial training of neural networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, and Victor Lempitsky. 2016 · 2030
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