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The 4th Workshop on Computational Approaches to Code Switching


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PROGRAM

 9:00–9:10 Welcome Remarks
 9:10–10:00 Novel Datasets
9:10–9:30An Annotated Corpus of Emerging Anglicisms in Spanish Newspaper Headlines
Elena Alvarez-Mellado
9:30–9:50A New Dataset for Natural Language Inference from Code-mixed Conversations
Simran Khanuja, Sandipan Dandapat, Sunayana Sitaram and Monojit Choudhury
 10:00–10:30 Coffee Break
 10:30–12:00 Understanding Code-Mixing - A closer look
10:30–10:50When is Multi-task Learning Beneficial for Low-Resource Noisy Code-switched User-generated Algerian Texts?
Wafia Adouane and Jean-Philippe Bernardy
10:30–10:50Evaluating Word Embeddings for Indonesian–English Code-Mixed Text Based on Synthetic Data
Arra’Di Nur Rizal and Sara Stymne
10:30–10:50Understanding Script-Mixing: A Case Study of Hindi-English Bilingual Twitter Users
Abhishek Srivastava, Kalika Bali and Monojit Choudhury
 12:00–1:30 Lunch break
 1:30–3:00 Application domains of code-mixing
1:30–1:50Sentiment Analysis for Hinglish Code-mixed Tweets by means of Cross-lingual Word Embeddings
Pranaydeep Singh and Els Lefever
1:50–2:20Semi-supervised acoustic and language model training for English-isiZulu code-switched speech recognition
Astik Biswas, Febe De Wet, Ewald Van der westhuizen and Thomas Niesler
2:20–2:40Code-mixed parse trees and how to find them
Anirudh Srinivasan, Sandipan Dandapat and Monojit Choudhury
2:40–3:00Towards an Efficient Code-Mixed Grapheme-to-Phoneme Conversion in an Agglutinative Language: A Case Study on To-Korean Transliteration
Won Ik Cho, Seok Min Kim and Nam Soo Kim
 3:00–3:10 Closing and Valedictory