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Fitting In or Standing Out? The Tradeoffs of Structural and Cultural Embeddedness
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In: American Sociological Review, vol 81, iss 6 (2016)
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Introduction
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In: Hill, Nathan; & Jiang, Di. (2016). Introduction. Himalayan Linguistics, 15(1). doi:10.5070/H915131516. Retrieved from: http://www.escholarship.org/uc/item/3nm7k9xq (2016)
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Fitting In or Standing Out? The Tradeoffs of Structural and Cultural Embeddedness
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In: Goldberg, A; Srivastava, SB; Manian, VG; Monroe, W; & Potts, C. (2016). Fitting In or Standing Out? The Tradeoffs of Structural and Cultural Embeddedness. American Sociological Review, 81(6), 1190 - 1222. doi:10.1177/0003122416671873. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/3779r4h9 (2016)
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Исследование и реализация методики автоматической генерации вопросов по заданным неструктурированным текстам на русском языке ... : магистерская диссертация ...
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Архипова, Мария. - : Санкт-Петербургский политехнический университет Петра Великого, 2016
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Computer-Assisted Language Comparison: Reconciling Computational And Classical Approaches In Historical Linguistics ...
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Computer-Assisted Language Comparison: Reconciling Computational And Classical Approaches In Historical Linguistics ...
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Digital Humanities, Computational Linguistics, And Natural Language Processing ...
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Digital Humanities, Computational Linguistics, And Natural Language Processing ...
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Modeling of problems of projection: A non-countercyclic approach
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In: Glossa: a journal of general linguistics; Vol 1, No 1 (2016); 7 ; 2397-1835 (2016)
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Toward Online Linguistic Surveillance of Threatening Messages
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In: Journal of Digital Forensics, Security and Law (2016)
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Data Cleaning for XML Electronic Dictionaries via Statistical Anomaly Detection ...
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Code-switched English Pronunciation Modeling for Swahili Spoken Term Detection (Pub Version, Open Access)
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One, no one and one hundred thousand events: Defining and processing events in an inter-disciplinary perspective
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Fifty years of European history through the Lens of Computational Linguistics: the De Gasperi Project
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KD Strikes Back: from Keyphrases to Labelled Domains Using External Knowledge Sources
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