Abstract is missing.
- Code-Mixing on Sesame Street: Dawn of the Adversarial PolyglotsSamson Tan, Shafiq R. Joty. [doi]
- Political Discourse Analysis: A Case Study of Code Mixing and Code Switching in Political SpeechesDama Sravani, Lalitha Kameswari, Radhika Mamidi. 1-5 [doi]
- Challenges and Limitations with the Metrics Measuring the Complexity of Code-Mixed TextVivek Srivastava, Mayank Singh 0001. 6-14 [doi]
- Translate and Classify: Improving Sequence Level Classification for English-Hindi Code-Mixed DataDevansh Gautam, Kshitij Gupta 0001, Manish Shrivastava 0001. 15-25 [doi]
- Gated Convolutional Sequence to Sequence Based Learning for English-Hingilsh Code-Switched Machine TranslationSuman Dowlagar, Radhika Mamidi. 26-30 [doi]
- IITP-MT at CALCS2021: English to Hinglish Neural Machine Translation using Unsupervised Synthetic Code-Mixed Parallel CorpusRamakrishna Appicharla, Kamal Kumar Gupta, Asif Ekbal, Pushpak Bhattacharyya. 31-35 [doi]
- Exploring Text-to-Text Transformers for English to Hinglish Machine Translation with Synthetic Code-MixingGanesh Jawahar, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan. 36-46 [doi]
- CoMeT: Towards Code-Mixed Translation Using Parallel Monolingual SentencesDevansh Gautam, Prashant Kodali, Kshitij Gupta 0001, Anmol Goel, Manish Shrivastava 0001, Ponnurangam Kumaraguru. 47-55 [doi]
- Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine TranslationEl Moatez Billah Nagoudi, AbdelRahim A. Elmadany, Muhammad Abdul-Mageed. 56-64 [doi]
- Much Gracias: Semi-supervised Code-switch Detection for Spanish-English: How far can we get?Dana-Maria Iliescu, Rasmus Grand, Sara Qirko, Rob van der Goot. 65-71 [doi]
- A Language-aware Approach to Code-switched Morphological TaggingSaziye Betül Özates, Özlem Çetinoglu. 72-83 [doi]
- Can You Traducir This? Machine Translation for Code-Switched InputJitao Xu 0001, François Yvon. 84-94 [doi]
- On the logistical difficulties and findings of Jopara Sentiment AnalysisMarvin M. Agüero-Torales, David Vilares, Antonio Gabriel López-Herrera. 95-102 [doi]
- Unsupervised Self-Training for Sentiment Analysis of Code-Switched DataAkshat Gupta, Sargam Menghani, Sai Krishna Rallabandi, Alan W. Black. 103-112 [doi]
- CodemixedNLP: An Extensible and Open NLP Toolkit for Code-MixingSai Muralidhar Jayanthi, Kavya Nerella, Khyathi Raghavi Chandu, Alan W. Black. 113-118 [doi]
- Normalization and Back-Transliteration for Code-Switched DataDwija Parikh, Thamar Solorio. 119-124 [doi]
- Abusive content detection in transliterated Bengali-English social media corpusSalim Sazzed. 125-130 [doi]
- Developing ASR for Indonesian-English Bilingual Language TeachingZara Maxwell-Smith, Ben Foley. 131-132 [doi]
- Transliteration for Low-Resource Code-Switching Texts: Building an Automatic Cyrillic-to-Latin Converter for TatarChihiro Taguchi, Yusuke Sakai, Taro Watanabe. 133-140 [doi]
- Are Multilingual Models Effective in Code-Switching?Genta Indra Winata, Samuel Cahyawijaya, Zihan Liu, Zhaojiang Lin, Andrea Madotto, Pascale Fung. 142-153 [doi]