Automatic Identification of Motivation for Code-Switching in Speech Transcripts

• URL: http://arxiv.org/abs/2212.08565v1
• Date: Wed, 30 Nov 2022 05:45:05 GMT
• Title: Automatic Identification of Motivation for Code-Switching in Speech Transcripts
• Authors: Ritu Belani and Jeffrey Flanigan
• Abstract summary: Code-switching, or switching between languages, occurs for many reasons and has important linguistic, sociological, and cultural implications. We build the first system to automatically identify a wide range of motivations that speakers code-switch in everyday speech. We show that the system can be adapted to new language pairs, achieving 66% accuracy on a new language pair (Hindi-English)
• Score: 3.8073142980733
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Code-switching, or switching between languages, occurs for many reasons and has important linguistic, sociological, and cultural implications. Multilingual speakers code-switch for a variety of purposes, such as expressing emotions, borrowing terms, making jokes, introducing a new topic, etc. The reason for code-switching may be quite useful for analysis, but is not readily apparent. To remedy this situation, we annotate a new dataset of motivations for code-switching in Spanish-English. We build the first system (to our knowledge) to automatically identify a wide range of motivations that speakers code-switch in everyday speech, achieving an accuracy of 75% across all motivations. Additionally, we show that the system can be adapted to new language pairs, achieving 66% accuracy on a new language pair (Hindi-English), demonstrating the cross-lingual applicability of our annotation scheme

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