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Code-switching poses a number of challenges and opportunities for multilingual automatic speech recognition.
“An information theoretic measure of sequence recognition performance,”
Andrew Morris, · 2002
Earlier work this paper cites.
“Bleu: a method for automatic evaluation of machine translation,”
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu, · 2002
Earlier work this paper cites.
“From WER and RIL to MER and WIL: improved evaluation measures for connected speech recognition,”
Andrew Cameron Morris, Viktoria Maier, and Phil Green, · 2004
Earlier work this paper cites.
“On Arabic Transliteration,”
Nizar Habash, Abdelhadi Soudi, and Tim Buckwalter, · 2007
Earlier work this paper cites.
“Conventional orthography for dialectal Arabic,”
Nizar Habash, Mona Diab, and Owen Rambow, · 2012
Earlier work this paper cites.
“Integrating an unsupervised transliteration model into statistical machine translation,”
Nadir Durrani, Hassan Sajjad, Hieu Hoang, and Philipp Koehn, · 2014
Earlier work this paper cites.
“Multi-reference evaluation for dialectal speech recognition system: A study for Egyptian ASR,”
Ahmed Ali, Walid Magdy, and Steve Renals, · 2015
Earlier work this paper cites.
“A time delay neural network architecture for efficient modeling of long temporal contexts,”
Vijayaditya Peddinti, Daniel Povey, and Sanjeev Khudanpur, · 2015
Earlier work this paper cites.
“Purely sequence-trained neural networks for ASR based on lattice-free MMI,”
Daniel Povey, Vijayaditya Peddinti, Daniel Galvez, Pegah Ghahrmani, Vimal Manohar, Xingyu Na, Yiming Wang, and Sanjeev Khudanpur, · 2016
Earlier work this paper cites.
“Comparing the level of code-switching in corpora,”
Björn Gambäck and Amitava Das, · 2016
Earlier work this paper cites.
“Attention is all you need,”
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin, · 2017
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“chrf++: words helping character n-grams,”
Maja Popović, · 2017
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“Homophone identification and merging for code-switched speech recognition,”
Brij Mohan Lal Srivastava and Sunayana Sitaram, · 2018
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“Transliteration based approaches to improve code-switched speech recognition performance,”
Jesse Emond, Bhuvana Ramabhadran, Brian Roark, Pedro Moreno, and Min Ma, · 2018
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“Sentencepiece: A simple and language independent subword tokenizer and detokenizer for neural text processing,”
Taku Kudo and John Richardson, · 2018
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“Epitran: Precision G2P for many languages,”
David R. Mortensen, Siddharth Dalmia, and Patrick Littell, · 2018
“Arzen: A speech corpus for code-switched Egyptian Arabic-English,”
Injy Hamed, Ngoc Thang Vu, and Slim Abdennadher, · 2020
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“Conformer: Convolution-augmented transformer for speech recognition,”
Anmol Gulati, James Qin, Chung-Cheng Chiu, Niki Parmar, Yu Zhang, Jiahui Yu, Wei Han, Shibo Wang, Zhengdong Zhang, Yonghui Wu, and Ruoming Pang, · 2020
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“Arabert: Transformer-based model for Arabic language understanding,”
Wissam Antoun, Fady Baly, and Hazem Hajj, · 2020
Later among the works it cites.
“Effects of dialectal code-switching on speech modules: A study using Egyptian Arabic broadcast speech,”
Shammur A Chowdhury, Younes Samih, Mohamed Eldesouki, and Ahmed Ali, · 2020
Later among the works it cites.
“Towards one model to rule all: Multilingual strategy for dialectal code-switching Arabic ASR,”
Shammur Absar Chowdhury, Amir Hussein, Ahmed Abdelali, and Ahmed Ali, · 2021
Later among the works it cites.
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“BERT: pre-training of deep bidirectional transformers for language understanding,”
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova, · 2018
Cited alongside, same era.
“A survey of code-switched speech and language processing,”
Sunayana Sitaram, Khyathi Raghavi Chandu, Sai Krishna Rallabandi, and Alan W Black, · 2019
Cited alongside, same era.
“Towards variability resistant dialectal speech evaluation,”
Ahmed Ali, Salam Khalifa, and Nizar Habash, · 2019
Cited alongside, same era.
“Bertscore: Evaluating text generation with bert,”
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi, · 2019
Cited alongside, same era.
“Semantic distance: A new metric for ASR performance analysis towards spoken language understanding,”
Suyoun Kim, Abhinav Arora, Duc Le, Ching-Feng Yeh, Christian Fuegen, Ozlem Kalinli, and Michael L Seltzer, · 2021
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“Bert, mbert, or bibert? a study on contextualized embeddings for neural machine translation,”
Haoran Xu, Benjamin Van Durme, and Kenton Murray, · 2021
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“The interplay of variant, size, and task type in Arabic pre-trained language models,”
Go Inoue, Bashar Alhafni, Nurpeiis Baimukan, Houda Bouamor, and Nizar Habash, · 2021
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“Multilingual and code-switching ASR challenges for low resource Indian languages,”
Anuj Diwan, Rakesh Vaideeswaran, Sanket Shah, Ankita Singh, Srinivasa Raghavan, Shreya Khare, Vinit Unni, Saurabh Vyas, Akash Rajpuria, Chiranjeevi Yarra, Ashish Mittal, Prasanta Kumar Ghosh, Preethi Jyothi, Kalika Bali, Vivek Seshadri, Sunayana Sitaram, Samarth Bharadwaj, Jai Nanavati, Raoul Nanavati, Karthik Sankaranarayanan, Tejaswi Seeram, and Basil Abraham, · 2021
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“Evaluating user perception of speech recognition system quality with semantic distance metric,”
Suyoun Kim, Duc Le, Weiyi Zheng, Tarun Singh, Abhinav Arora, Xiaoyu Zhai, Christian Fuegen, Ozlem Kalinli, and Michael L Seltzer, · 2022
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