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Representativeness as a Forgotten Lesson for Multilingual and Code-switched Data Collection and Preparation., , and . EMNLP (Findings), page 5751-5767. Association for Computational Linguistics, (2023)Resources for Turkish Natural Language Processing: A critical survey., , and . CoRR, (2022)Correction to: Resources for Turkish natural language processing: A critical survey., , and . Lang. Resour. Evaluation, 57 (1): 489 (March 2023)Predicting Machine Translation Performance on Low-Resource Languages: The Role of Domain Similarity., , , , , , , , and . EACL (Findings), page 1474-1486. Association for Computational Linguistics, (2024)Predicting Code-switching in Multilingual Communication for Immigrant Communities., , and . CodeSwitch@EMNLP, page 42-50. Association for Computational Linguistics, (2014)One Size Does Not Fit All: Profiling Personalized Time-Evolving User Behaviors., , , , and . ASONAM, page 331-340. ACM, (2017)Computational Sociolinguistics: A Survey., , , and . CoRR, (2015)Computational Sociolinguistics: A Survey., , , and . Comput. Linguistics, 42 (3): 537-593 (2016)Why Gender and Age Prediction from Tweets is Hard: Lessons from a Crowdsourcing Experiment., , , , , , and . COLING, page 1950-1961. ACL, (2014)Learning from Partially Annotated Data: Example-aware Creation of Gap-filling Exercises for Language Learning., , , , and . BEA@ACL, page 598-609. Association for Computational Linguistics, (2023)