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| "paper_id": "2021", | |
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| "abstract": [], | |
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| "text": "Bienvenidos to the proceedings of the fifth edition of the workshop on computational approaches for linguistic code-switching (CALCS-2021)! Code-switching is this very interesting phenomenon where multilingual speakers communicate by moving back and forth between the languages they speak when communicating with other multilingual speakers. Code-switching (CSW) is predominantly used in speech but since it also tends to be more prevalent in casual settings, we can observe CSW in genres like social media platforms where interactions tend to be more casual.", | |
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| "section": "Message from the Program Chairs", | |
| "sec_num": null | |
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| "text": "However interesting, our current NLP technology is lagging behind in the development of resources and methodologies that can effectively process code-switched language. This is true for even the large multilingual pretrained models such as mBERT and BART. At the same time, the growing adoption of smart devices and automated assistants that rely on speech interfaces, makes it even more pressing that our field addresses CSW language data.", | |
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| "section": "Message from the Program Chairs", | |
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| "text": "This workshop series brings together experts and practitioners that are currently working on different aspects of CSW with a special focus on motivating tighter collaborations between speech and text researchers. We received 18 regular workshop submissions, of which we accepted 13. But this year we also had a special submission type called \"Rising Stars\". The goal of the Rising Stars is to allow young scientists that have recently published work in the space of CSW to present this work again to a specialized audience. These submissions are non-archival and are intended to increase visibility of CSW research by young researchers. We received two submissions of this type and we hope to continue this new track in future editions.", | |
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| "section": "Message from the Program Chairs", | |
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| "text": "Our workshop also aims to motivate new research and energize the community to take on the challenges posed by CSW data. With this in mind, we hosted a new shared task on machine translation in CSW settings colocated with the workshop. This shared task provided two modalities for participation, supervised and unsupervised. For the supervised mode we asked participants to translate English data into Hinglish (Hindi-English). For the unsupervised setting we provided the following language pairs: Spanish-English (Spanglish) to English, English to Spanglish, Modern Standard Arabic-Egyptian Arabic (MSA-EA) to English and English to MSA-EA. The current leaderboard for the task shows 12 individual public system submissions coming out of 5 different teams. The overview of the shared task and the individual system submissions will be presented at the workshop.", | |
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| "section": "Message from the Program Chairs", | |
| "sec_num": null | |
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| "text": "The workshop program includes short talks from regular workshop submissions, rising star talks and system description talks. We also have a stellar invited speaker program with talks by \u00d6zlem \u00c7etinoglu, Manish Shrivastava and Ngoc Thang Vu. In addition, the one day program will also feature an exciting panel discussing research challenges unique to Machine Translation in CSW environments. Panelists include: Kalika Bali, Pushpak Bhattacharyya, Marina Fomicheva, Philipp Koehn, and Holger Schwenk.", | |
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| "section": "Message from the Program Chairs", | |
| "sec_num": null | |
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| { | |
| "text": "We would like to thank the NAACL workshop organizers, Bhavana Dalvi, Mamoru Komachi and Michel Galley for their help during the organization of the workshop. We also extend our appreciation to Priscilla Rasmussen for her continuous help in the organization of these events. Last, but not least, we thank the NAACL organizing team for handling the conference organization in such a smooth way, even in the face of the current pandemic.", | |
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| "section": "Message from the Program Chairs", | |
| "sec_num": null | |
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| { | |
| "text": "It would have been great to see everyone face to face in Mexico City, but alas we have another virtual event this year. Nonetheless, we hope that you join us on Friday June 11th and that you enjoy the program we put together.", | |
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| "section": "Message from the Program Chairs", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "Let's talk code-switching in June! The Workshop Organizers", | |
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| "section": "Message from the Program Chairs", | |
| "sec_num": null | |
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| ], | |
| "back_matter": [ | |
| { | |
| "text": "Friday, June 11, 2021 (Mexico City Time, CDT, 8:00-10:30Morning Session I ", | |
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| "section": "Conference Program", | |
| "sec_num": null | |
| } | |
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| "authors": [ | |
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| "last": "Friday ; Prashant Kodali", | |
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| "raw_text": "Friday, June 11, 2021 (Mexico City Time, CDT, GMT -5) (continued) 10:30-13:00 Morning Session II 10:30-10:40 Shared Task Overview Thamar Solorio 10:40-10:50 Gated Convolutional Sequence to Sequence Based Learning for English-Hingilsh Code-Switched Machine Translation. Suman Dowlagar and Radhika Mamidi 10:50-11:00 IITP-MT at CALCS2021: English to Hinglish Neural Machine Translation using Unsupervised Synthetic Code-Mixed Parallel Corpus Ramakrishna Appicharla, Kamal Kumar Gupta, Asif Ekbal and Pushpak Bhat- tacharyya 11:00-11:10 Exploring Text-to-Text Transformers for English to Hinglish Machine Translation with Synthetic Code-Mixing Ganesh Jawahar, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed and Laks Lakshmanan, V.S. 11:10-11:20 CoMeT: Towards Code-Mixed Translation Using Parallel Monolingual Sentences Devansh Gautam, Prashant Kodali, Kshitij Gupta, Anmol Goel, Manish Shrivastava and Ponnurangam Kumaraguru 11:20-11:30 Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation El Moatez Billah Nagoudi, AbdelRahim Elmadany and Muhammad Abdul-Mageed 11:30-12:15 Invited Talk \u00d6zlem \u00c7etinoglu 12:15-13:00 Lunch Break x Friday, June 11, 2021 (Mexico City Time, CDT, GMT -5) (continued) 13:00-15:30 Afternoon Session I 13:00-13:10 Much Gracias: Semi-supervised Code-switch Detection for Spanish-English: How far can we get? Dana-Maria Iliescu, Rasmus Grand, Sara Qirko and Rob van der Goot 13:10-13:20 A Language-aware Approach to Code-switched Morphological Taggin\u0123 Saziye Bet\u00fcl \u00d6zate\u015f and \u00d6zlem \u00c7etinoglu 13:20-13:30 Can You Traducir This? Machine Translation for Code-Switched Input Jitao Xu and Fran\u00e7ois Yvon 13:30-13:40 On the logistical difficulties and findings of Jopara Sentiment Analysis Marvin Ag\u00fcero-Torales, David Vilares and Antonio L\u00f3pez-Herrera 13:40-15:00 Panel Discussion Moderated by Mona Diab Panelists: Kalika Bali, Pushpak Bhattacharyya, Marina Fomicheva, Philipp Koehn, Holger Schwenk 15:00-15:30 Midday Short Break 15:30-16:45 Afternoon Session II 15:30-16:15 Invited Talk Ngoc Thang Vu 16:15-16:45 Evening Break Friday, June 11, 2021 (Mexico City Time, CDT, GMT -5) (continued) 16:45-18:15 Evening Session 16:45-16:55 Unsupervised Self-Training for Sentiment Analysis of Code-Switched Data Akshat Gupta, Sargam Menghani, Sai Krishna Rallabandi and Alan W Black 16:55-17:05 CodemixedNLP: An Extensible and Open NLP Toolkit for Code-Mixing Sai Muralidhar Jayanthi, Kavya Nerella, Khyathi Raghavi Chandu and Alan W Black 17:05-17:15 Normalization and Back-Transliteration for Code-Switched Data Dwija Parikh and Thamar Solorio 17:15-17:25 Abusive content detection in transliterated Bengali-English social media corpus Salim Sazzed 17:25-17:35 Developing ASR for Indonesian-English Bilingual Language Teaching Zara Maxwelll-Smith and Ben Foley 17:35-17:45 Transliteration for Low-Resource Code-Switching Texts: Building an Automatic Cyrillic-to-Latin Converter for Tatar Chihiro Taguchi, Yusuke Sakai and Taro Watanabe 17:45-17:55 Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots Samson Tan and Shafiq Joty 17:55-18:05 Are Multilingual Models Effective in Code-Switching? Genta Indra Winata, Samuel Cahyawijaya, Zihan Liu, Zhaojiang Lin, Andrea Madotto and Pascale Fung 18:05-18:15 Closing Remarks", | |
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