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- W3100584004 abstract "Code-switching is a ubiquitous phenomenon in multilingual communities. Natural language technologies that wish to communicate like humans must therefore adaptively incorporate code-switching techniques when they are deployed in multilingual settings. To this end, we propose a Hindi-English human-machine dialogue system that elicits code-switching conversations in a controlled setting. It uses different code-switching agent strategies to understand how users respond and accommodate to the agent’s language choice. Through this system, we collect and release a new dataset CommonDost, comprising of 439 human-machine multilingual conversations. We adapt pre-defined metrics to discover linguistic accommodation from users to agents. Finally, we compare these dialogues with Spanish-English dialogues collected in a similar setting, and analyze the impact of linguistic and socio-cultural factors on code-switching patterns across the two language pairs." @default.
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- W3100584004 date "2020-01-01" @default.
- W3100584004 modified "2023-09-25" @default.
- W3100584004 title "Understanding Linguistic Accommodation in Code-Switched Human-Machine Dialogues" @default.
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- W3100584004 doi "https://doi.org/10.18653/v1/2020.conll-1.46" @default.
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