Fetching the paper…
Reading the bibliography…
Code-switching is a phenomenon of mixing grammatical structures of two or more languages under varied social constraints.
Sometimes i’ll start a sentence in spanish y termino en español: toward a typology of code-switching1
Shana Poplack. 1980 · 1980
Earlier work this paper cites.
Discourse strategies
John J Gumperz. 1982 · 1982
Earlier work this paper cites.
Estimating code-switching on twitter with a novel generalized word-level language detection technique
Shruti Rijhwani, Royal Sequiera, Monojit Choudhury, Kalika Bali, and Chandra Shekhar Maddila. 2017 · 1982
Earlier work this paper cites.
Social motivations for codeswitching: Evidence from Africa
Carol Myers-Scotton. 1995 · 1995
Earlier work this paper cites.
An efficient algorithm for projective dependency parsing
Joakim Nivre. 2003 · 2003
Earlier work this paper cites.
Pseudo-projective dependency parsing
Joakim Nivre and Jens Nilsson. 2005 · 2005
Earlier work this paper cites.
The TDIL program and the Indian language corpora initiative (ILCI)
Girish Nath Jha. 2010 · 2010
Earlier work this paper cites.
Part-of-speech tagging for twitter: Annotation, features, and experiments
Kevin Gimpel, Nathan Schneider, Brendan O’Connor, Dipanjan Das, Daniel Mills, Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, and Noah A Smith. 2011 · 2011
Earlier work this paper cites.
A dynamic oracle for arc-eager dependency parsing
Yoav Goldberg and Joakim Nivre. 2012 · 2012
Earlier work this paper cites.
Scalable modified kneser-ney language model estimation
Kenneth Heafield, Ivan Pouzyrevsky, Jonathan H Clark, and Philipp Koehn. 2013 · 2013
Earlier work this paper cites.
Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
Earlier work this paper cites.
Improved part-of-speech tagging for online conversational text with word clusters
Olutobi Owoputi, Brendan O’Connor, Chris Dyer, Kevin Gimpel, Nathan Schneider, and Noah A Smith. 2013 · 2013
Earlier work this paper cites.
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M Saxe, James L McClelland, and Surya Ganguli. 2013 · 2013
Earlier work this paper cites.
HindEnCorp - Hindi-English and Hindi-only Corpus for Machine Translation
Ondřej Bojar, Vojtěch Diatka, Pavel Rychlý, Pavel Straňák, Vít Suchomel, Aleš Tamchyna, and Daniel Zeman. 2014 · 2014
Cited alongside, same era.
Universal stanford dependencies: A cross-linguistic typology
Marie-Catherine De Marneffe, Timothy Dozat, Natalia Silveira, Katri Haverinen, Filip Ginter, Joakim Nivre, and Christopher D Manning. 2014 · 2014
Cited alongside, same era.
A dependency parser for tweets
Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, Archna Bhatia, and Chris Dyer. 2014 · 2014
Cited alongside, same era.
Overview for the first shared task on language identification in code-switched data
Thamar Solorio, Elizabeth Blair, Suraj Maharjan, Steve Bethard, Mona Diab, Mahmoud Gonheim, Abdelati Hawwari, Fahad AlGhamdi, Julia Hirshberg, Alison Chang, and Pascale Fung. 2014 · 2014
Cited alongside, same era.
Pos tagging of english-hindi code-mixed social media content
Yogarshi Vyas, Spandana Gella, Jatin Sharma, Kalika Bali, and Monojit Choudhury. 2014 · 2014
Cited alongside, same era.
Simple and accurate dependency parsing using bidirectional lstm feature representations
Eliyahu Kiperwasser and Yoav Goldberg. 2016 · 2016
Later among the works it cites.
Understanding language preference for expression of opinion and sentiment: What do hindi-english speakers do on twitter?
Koustav Rudra, Shruti Rijhwani, Rafiya Begum, Kalika Bali, Monojit Choudhury, and Niloy Ganguly. 2016 · 2016
Later among the works it cites.
Shallow parsing pipeline - hindi-english code-mixed social media text
Arnav Sharma, Sakshi Gupta, Raveesh Motlani, Piyush Bansal, Manish Shrivastava, Radhika Mamidi, and Dipti M. Sharma. 2016 · 2016
Later among the works it cites.
Stack-propagation: Improved representation learning for syntax
Yuan Zhang and David Weiss. 2016 · 2016
Later among the works it cites.
Joining hands: Exploiting monolingual treebanks for parsing of code-mixing data
Irshad Bhat, Riyaz A. Bhat, Manish Shrivastava, and Dipti Sharma. 2017 · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Text normalization in code-mixed social media text
Sukanya Dutta, Tista Saha, Somnath Banerjee, and Sudip Kumar Naskar. 2015 · 2015
Cited alongside, same era.
Part-of-speech tagging for code-mixed english-hindi twitter and facebook chat messages
Anupam Jamatia, Björn Gambäck, and Amitava Das. 2015 · 2015
Cited alongside, same era.
Brahmi-net: A transliteration and script conversion system for languages of the indian subcontinent
Anoop Kunchukuttan, Ratish Puduppully, and Pushpak Bhattacharyya. 2015 · 2015
Cited alongside, same era.
Effective approaches to attention-based neural machine translation
Minh-Thang Luong, Hieu Pham, and Christopher D Manning. 2015 · 2015
Cited alongside, same era.
Learning principled bilingual mappings of word embeddings while preserving monolingual invariance
Mikel Artetxe, Gorka Labaka, and Eneko Agirre. 2016 · 2016
Cited alongside, same era.
Challenges of computational processing of code-switching
Özlem Çetinoğlu, Sarah Schulz, and Ngoc Thang Vu. 2016 · 2016
Cited alongside, same era.
Neural network for heterogeneous annotations
Hongshen Chen, Yue Zhang, and Qun Liu. 2016 · 2016
Cited alongside, same era.
Webshodh: A code mixed factoid question answering system for web
Khyathi Raghavi Chandu, Manoj Chinnakotla, Alan W Black, and Manish Shrivastava. 2017 · 2017
Later among the works it cites.
Stanford’s graph-based neural dependency parser at the conll 2017 shared task
Timothy Dozat, Peng Qi, and Christopher D Manning. 2017 · 2017
Later among the works it cites.
Metrics for modeling code-switching across corpora
Gualberto Guzmán, Joseph Ricard, Jacqueline Serigos, Barbara E Bullock, and Almeida Jacqueline Toribio. 2017 · 2017
Later among the works it cites.
Opennmt: Open-source toolkit for neural machine translation
Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, and Alexander M. Rush. 2017 · 2017
Later among the works it cites.
Dynet: The dynamic neural network toolkit
Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, et al. 2017 · 2017
Later among the works it cites.
Universal dependencies parsing for colloquial singaporean english
Hongmin Wang, Yue Zhang, GuangYong Leonard Chan, Jie Yang, and Hai Leong Chieu. 2017 · 2017
Later among the works it cites.
Conll 2017 shared task: Multilingual parsing from raw text to universal dependencies
Daniel Zeman, Martin Popel, Milan Straka, Jan Hajic, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis Tyers, Elena Badmaeva, Memduh Gokirmak, Anna Nedoluzhko, Silvie Cinkova, Jan Hajic jr., Jaroslava Hlavacova, Václava Kettnerová, Zdenka Uresova, Jenna Kanerva, Stina Ojala, Anna Missilä, Christopher D. Manning, Sebastian Schuster, Siva Reddy, Dima Taji, Nizar Habash, Herman Leung, Marie-Catherine de Marneffe, Manuela Sanguinetti, Maria Simi, Hiroshi Kanayama, Valeria dePaiva, Kira Droganova, Héctor Martínez Alonso, Çağrı Çöltekin, Umut Sulubacak, Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Georg Rehm, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Michael Mandl, Jesse Kirchner, Hector Fernandez Alcalde, Jana Strnadová, Esha Banerjee, Ruli Manurung, Antonio Stella, Atsuko Shimada, Sookyoung Kwak, Gustavo Mendonca, Tatiana Lando, Rattima Nitisaroj, and Josie Li. 2017 · 2017
Later among the works it cites.