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1
Predicting the Performance of Multilingual NLP Models ...
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2
Multilingual and code-switching ASR challenges for low resource Indian languages ...
Abstract: Recently, there is increasing interest in multilingual automatic speech recognition (ASR) where a speech recognition system caters to multiple low resource languages by taking advantage of low amounts of labeled corpora in multiple languages. With multilingualism becoming common in today's world, there has been increasing interest in code-switching ASR as well. In code-switching, multiple languages are freely interchanged within a single sentence or between sentences. The success of low-resource multilingual and code-switching ASR often depends on the variety of languages in terms of their acoustics, linguistic characteristics as well as the amount of data available and how these are carefully considered in building the ASR system. In this challenge, we would like to focus on building multilingual and code-switching ASR systems through two different subtasks related to a total of seven Indian languages, namely Hindi, Marathi, Odia, Tamil, Telugu, Gujarati and Bengali. For this purpose, we provide a total of ... : 6 pages ...
Keyword: Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering
URL: https://arxiv.org/abs/2104.00235
https://dx.doi.org/10.48550/arxiv.2104.00235
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3
On the Universality of Deep Contextual Language Models ...
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4
A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies ...
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5
GLUECoS : An Evaluation Benchmark for Code-Switched NLP ...
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6
A New Dataset for Natural Language Inference from Code-mixed Conversations ...
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7
Learning not to Discriminate: Task Agnostic Learning for Improving Monolingual and Code-switched Speech Recognition ...
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8
Cross-lingual and Multilingual Spoken Term Detection for Low-Resource Indian Languages ...
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9
Phone Merging for Code-switched Speech Recognition
In: Third Workshop on Computational Approaches to Linguistic Code-switching ; https://hal.inria.fr/hal-01800466 ; Third Workshop on Computational Approaches to Linguistic Code-switching, collocated with ACL 2018 Jul 2018, Melbourne, Australia (2018)
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Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning ...
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