Workshop on Computational Approaches to Linguistic Code-Switching 2021 — accepted papers
Workshop on Computational Approaches to Linguistic Code-Switching 2021 is the 2021 edition of the Workshop on Computational Approaches to Linguistic Code-Switching, held in Online, June 2021 (publisher: Association for Computational Linguistics). The ACL Anthology lists 20 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
📍 Online · 🗓 June 2021
Most cited papers
- Are Multilingual Models Effective in Code-Switching? ↗Genta Indra Winata, Samuel Cahyawijaya, Zihan Liu et al.52 citations
- Abusive content detection in transliterated Bengali-English social media corpus ↗Salim Sazzed48 citations
- CoMeT: Towards Code-Mixed Translation Using Parallel Monolingual Sentences ↗Devansh Gautam, Prashant Kodali, Kshitij Gupta et al.35 citations
- Exploring Text-to-Text Transformers for English to Hinglish Machine Translation with Synthetic Code-Mixing ↗Ganesh Jawahar, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed et al.23 citations
- Unsupervised Self-Training for Sentiment Analysis of Code-Switched Data ↗Akshat Gupta, Sargam Menghani, Sai Krishna Rallabandi et al.18 citations
- Can You Traducir This? Machine Translation for Code-Switched Input ↗Jitao Xu, François Yvon16 citations
- Challenges and Limitations with the Metrics Measuring the Complexity of Code-Mixed Text ↗Vivek Srivastava, Mayank Singh15 citations
- Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots ↗Samson Tan, Shafiq Joty14 citations
- IITP-MT at CALCS2021: English to Hinglish Neural Machine Translation using Unsupervised Synthetic Code-Mixed Parallel Corpus ↗Ramakrishna Appicharla, Kamal Kumar Gupta, Asif Ekbal et al.12 citations
- Political Discourse Analysis: A Case Study of Code Mixing and Code Switching in Political Speeches ↗Dama Sravani, Lalitha Kameswari, Radhika Mamidi10 citations
All accepted papers (20)
- Are Multilingual Models Effective in Code-Switching? ↗Genta Indra Winata, Samuel Cahyawijaya, Zihan Liu et al.52 citations
- Abusive content detection in transliterated Bengali-English social media corpus ↗Salim Sazzed48 citations
- CoMeT: Towards Code-Mixed Translation Using Parallel Monolingual Sentences ↗Devansh Gautam, Prashant Kodali, Kshitij Gupta et al.35 citations
- Exploring Text-to-Text Transformers for English to Hinglish Machine Translation with Synthetic Code-Mixing ↗Ganesh Jawahar, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed et al.23 citations
- Unsupervised Self-Training for Sentiment Analysis of Code-Switched Data ↗Akshat Gupta, Sargam Menghani, Sai Krishna Rallabandi et al.18 citations
- Can You Traducir This? Machine Translation for Code-Switched Input ↗Jitao Xu, François Yvon16 citations
- Challenges and Limitations with the Metrics Measuring the Complexity of Code-Mixed Text ↗Vivek Srivastava, Mayank Singh15 citations
- Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots ↗Samson Tan, Shafiq Joty14 citations
- IITP-MT at CALCS2021: English to Hinglish Neural Machine Translation using Unsupervised Synthetic Code-Mixed Parallel Corpus ↗Ramakrishna Appicharla, Kamal Kumar Gupta, Asif Ekbal et al.12 citations
- Political Discourse Analysis: A Case Study of Code Mixing and Code Switching in Political Speeches ↗Dama Sravani, Lalitha Kameswari, Radhika Mamidi10 citations
- Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine TranslationEl Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed9 citations · our summary
- CodemixedNLP: An Extensible and Open NLP Toolkit for Code-Mixing ↗Sai Muralidhar Jayanthi, Kavya Nerella, Khyathi Raghavi Chandu et al.6 citations
- Translate and Classify: Improving Sequence Level Classification for English-Hindi Code-Mixed Data ↗Devansh Gautam, Kshitij Gupta, Manish Shrivastava6 citations
- Gated Convolutional Sequence to Sequence Based Learning for English-Hingilsh Code-Switched Machine Translation. ↗Suman Dowlagar, Radhika Mamidi5 citations
- Much Gracias: Semi-supervised Code-switch Detection for Spanish-English: How far can we get? ↗Dana-Maria Iliescu, Rasmus Grand, Sara Qirko et al.5 citations
- Normalization and Back-Transliteration for Code-Switched Data ↗Dwija Parikh, Thamar Solorio5 citations
- On the logistical difficulties and findings of Jopara Sentiment Analysis ↗Marvin Agüero-Torales, David Vilares, Antonio López-Herrera5 citations
- A Language-aware Approach to Code-switched Morphological Tagging ↗Şaziye Betül Özateş, Özlem Çetinoğlu4 citations
- Developing ASR for Indonesian-English Bilingual Language Teaching ↗Zara Maxwell-Smith, Ben Foley4 citations
- Transliteration for Low-Resource Code-Switching Texts: Building an Automatic Cyrillic-to-Latin Converter for Tatar ↗Chihiro Taguchi, Yusuke Sakai, Taro Watanabe
Papers with our summary in our library (1)
- Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine TranslationWorkshop on Computational Approaches to Linguistic Code-SwitchingEl Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed2021 · 21 citations
Top topics
Machine translation (1)Multilingual & cross-lingual NLP (1)Semitic languages (1)
Fields
Arts and Humanities (1)Computer Science (1)
Top authors
🧑🔬AbdelRahim Elmadany1 work here · 21 citations🧑🔬El Moatez Billah Nagoudi1 work here · 21 citations🧑🔬Muhammad Abdul-Mageed1 work here · 21 citations
Top institutions
This page in Markdown → https://md.research.elamur.ai/free/en/venues/calcs/2021/