Yining Tan - Academia.edu (original) (raw)
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Papers by Yining Tan
Springer International Publishing eBooks, 2022
Springer International Publishing eBooks, 2022
Revue internationale de politique de développement
Revue internationale de politique de développement
Handbook on China and Globalization, 2019
Named entities are heavily used in the field of spoken language understanding, which uses speech ... more Named entities are heavily used in the field of spoken language understanding, which uses speech as an input. The standard way of doing named entity recognition from speech involves a pipeline of two systems, where first the automatic speech recognition system generates the transcripts, and then the named entity recognition system produces the named entity tags from the transcripts. In such cases, automatic speech recognition and named entity recognition systems are trained independently, resulting in the automatic speech recognition branch not being optimized for named entity recognition and vice versa. In this paper, we propose two attention-based approaches for extracting named entities from speech in an end-to-end manner, that show promising results. We compare both attention-based approaches on Finnish, Swedish, and English data sets, underlining their strengths and weaknesses.
Journal of Ethnic and Migration Studies, 2020
Journal of Ethnic and Migration Studies, 2020
The development of the labour-intensive manufacturing sector in Dongguan, China, stimulated signi... more The development of the labour-intensive manufacturing sector in Dongguan, China, stimulated significant inflows of temporary migrants. However, their temporary status limits migrants' mobility and restrains their access to public resources available in the city. The community square in proximity to factories provides space for temporary migrant workers and their families to congregate, socialise and exercise during after-work hours. Grounded in theoretical discussions of the precarity of temporary migration and the intersection of migrants and urban space, this study uses participant observations and semi-structured interviews to examine the following questions: (1) What are the spatial and temporal patterns of temporary migrants' use of the community square? (2) How do temporary migrants' use of the community square indicate social inclusion or exclusion from the destination society? (3) How do temporary migrants experience precarity in spatial and temporal dimensions? The research findings suggest that the temporary status of migrants and fast-paced work schedules of manufacturing factories limit migrants' options for after-work leisure activities both spatially and temporally. The research has broad implications for the integration of temporary migrants in Chinese cities and the development of public space to enhance social belonging among underserved migrant populations.
Journal of Ethnic and Migration Studies
Springer International Publishing eBooks, 2022
Springer International Publishing eBooks, 2022
Revue internationale de politique de développement
Revue internationale de politique de développement
Handbook on China and Globalization, 2019
Named entities are heavily used in the field of spoken language understanding, which uses speech ... more Named entities are heavily used in the field of spoken language understanding, which uses speech as an input. The standard way of doing named entity recognition from speech involves a pipeline of two systems, where first the automatic speech recognition system generates the transcripts, and then the named entity recognition system produces the named entity tags from the transcripts. In such cases, automatic speech recognition and named entity recognition systems are trained independently, resulting in the automatic speech recognition branch not being optimized for named entity recognition and vice versa. In this paper, we propose two attention-based approaches for extracting named entities from speech in an end-to-end manner, that show promising results. We compare both attention-based approaches on Finnish, Swedish, and English data sets, underlining their strengths and weaknesses.
Journal of Ethnic and Migration Studies, 2020
Journal of Ethnic and Migration Studies, 2020
The development of the labour-intensive manufacturing sector in Dongguan, China, stimulated signi... more The development of the labour-intensive manufacturing sector in Dongguan, China, stimulated significant inflows of temporary migrants. However, their temporary status limits migrants' mobility and restrains their access to public resources available in the city. The community square in proximity to factories provides space for temporary migrant workers and their families to congregate, socialise and exercise during after-work hours. Grounded in theoretical discussions of the precarity of temporary migration and the intersection of migrants and urban space, this study uses participant observations and semi-structured interviews to examine the following questions: (1) What are the spatial and temporal patterns of temporary migrants' use of the community square? (2) How do temporary migrants' use of the community square indicate social inclusion or exclusion from the destination society? (3) How do temporary migrants experience precarity in spatial and temporal dimensions? The research findings suggest that the temporary status of migrants and fast-paced work schedules of manufacturing factories limit migrants' options for after-work leisure activities both spatially and temporally. The research has broad implications for the integration of temporary migrants in Chinese cities and the development of public space to enhance social belonging among underserved migrant populations.
Journal of Ethnic and Migration Studies