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This project studies works by Asian Pacific American writers and artists that respond critically to the widespread enthusiasm for ethnic food and multiculturalism which arose in the United States during the late-twentieth century. This enthusiasm reflected popular hope that food culture's welcoming of ethnic cuisine was a sign of racism receding into the past. Yet consuming palatable ethnic food representations as a surrogate for racialized bodies encourages the disavowal of past inequities' pressure on the present, and disassociation from unsavory racist histories of exclusion, labor exploitation, and biopolitical regulation established in the decades preceding. Observing how celebratory discourses of liberal multiculturalism and world citizenship invoke appreciation of ethnic cuisine while obscuring structural inequities still embedded in food culture, this project demonstrates ways in which Asian food remains tethered to histories of inequity that have not been overcome. To illuminate these inequities, this study considers how contemporary artists expose what becomes elided in multicultural consumptions of difference, namely, congealed labor, unequal exchange, and circuits of domination. Central to the study are the works' "culinary experimentalism" - literary tactics of representing food, designed to re-engage race by conjuring obscured histories of Asian exclusion, and by challenging Asian food's exemplarity as a deracialized signifier of multiculturalism and globalization. Using parody, mixed languages, and imaginative re-telling of neglected histories, these works refigure food representations to assert political linkages disappeared during the rise of culinary multiculturalism, and to suggest more race-conscious forms of consumption.

© {Owner/Author | ACM} {Year}. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in FIRE '14 Proceedings of the Forum for Information Retrieval Evaluation, http://dx.doi.org/10.1145/2824864.2824876 ; [EN] In this paper, we describe a hybrid approach for word-level language (WLL) identification of Bangla words written in Roman script and mixed with English words as part of our participation in the shared task on transliterated search at Forum for Information Retrieval Evaluation (FIRE) in 2014. A CRF based machine learning model and post-processing heuristics are employed for the WLL identification task. In addition to language identification, two transliteration systems were built to transliterate detected Bangla words written in Roman script into native Bangla script. The system demonstrated an overall token level language identification accuracy of 0.905. The token level Bangla and English language identification F-scores are 0.899, 0.920 respectively. The two transliteration systems achieved accuracies of 0.062 and 0.037. The word-level language identification system presented in this paper resulted in the best scores across almost all metrics among all the participating systems for the Bangla-English language pair. ; We acknowledge the support of the Department of Electronics and Information Technology (DeitY), Government of India, through the project "CLIA System Phase II". The research work of the last author was carried out in the framework of WIQ-EI IRSES (Grant No. 269180) within the FP 7 Marie Curie, DIANA-APPLICATIONS (TIN2012-38603-C02-01) projects and the VLC/CAMPUS Microcluster on Multimodal Interaction in Intelligent Systems. ; Banerjee, S.; Kuila, A.; Roy, A.; Naskar, SK.; Rosso, P.; Bandyopadhyay, S. (2014). A hybrid approach for transliterated word-level language identification: CRF with post processing heuristics. En FIRE '14 Proceedings of the Forum for Information Retrieval Evaluation. ...