Title The open handbook of linguistic data management / edited by Andrea L. Berez-Kroeker, Bradley McDonnell, Eve Koller and Lauren B. Collister

Published Cambridge, Massachusetts : The MIT Press, [2021]

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Description 1 online resource (xiv, 671 pages) : illustrations Series Open handbooks in linguistics series Open handbooks in linguistics series Contents Intro -- Series Page -- Title Page -- Copyright -- Dedication -- Table of Contents -- Series Foreword -- Foreword by Sarah G. Thomason -- I. Conceptual Foundations, Principles, and Implementation of Data Management in Linguistics -- 1. Data, Data Management, and Reproducible Research in Linguistics: On the Need for The Open Handbook of Linguistic Data Management -- 2. Situating Linguistics in the Social Science Data Movement -- 3. The Scope of Linguistic Data -- 4. Indigenous Peoples, Ethics, and Linguistic Data -- 5. The Linguistic Data Life Cycle, Sustainability of Data, and Principles of Solid Data Management -- 6. Transforming Data -- 7. Archiving Research Data -- 8. Developing a Data Management Plan -- 9. Copyright and Sharing Linguistic Data -- 10. Linguistic Data in the Long View -- 11. Guidance for Citing Linguistic Data -- 12. Metrics for Evaluating the Impact of Data Sets -- 13. The Value of Data and Other Non-traditional Scholarly Outputs in Academic Review, Promotion, and Tenure in Canada and the United States -- II. Data Management Use Cases -- 14. Managing Sociolinguistic Data with the Corpus of Regional African American Language (CORAAL) -- 15. Managing Data for Integrated Speech Corpus Analysis in SPeech Across Dialects of English (SPADE) -- 16. Data Management at the uOttawa Sociolinguistics Laboratory -- 17. Managing Legacy Data in a Sociophonetic Study of Vowel Variation and Change -- 18. Managing Sociophonetic Data in a Study of Regional Variation -- 19. Data Management Practices in an Ethnographic Study of Language and Migration -- 20. Managing Conversation Analysis Data -- 21. Managing Sign Language Data from Fieldwork -- 22. Managing Data in a Language Documentation Corpus -- 23. Managing Data for Writing a Reference Grammar 24. Managing Lexicography Data: A Practical, Principled Approach Using FLEx (FieldWorks Language Explorer) -- 25. Managing Data from Archival Documentation for Language Reclamation -- 26. Managing Data for Descriptive and Historical Research -- 27. Managing Historical Data in the Chirila Database -- 28. Managing Historical Linguistic Data for Computational Phylogenetics and Computer-Assisted Language Comparison -- 29. Managing Computational Data for Models of Language Acquisition and Change -- 30. Managing Sign Language Acquisition Video Data: A Personal Journey in the Organization and Representation of Signed Data -- 31. Managing Acquisition Data for Developing Large Sesotho, English, and French Corpora for CHILDES -- 32. Managing Phonological Development Data within PhonBank: The Chisasibi Child Language Acquisition Study -- 33. Managing Oral and Written Data from an ESL Corpus from Canadian Secondary School Students in a Compulsory, School-Based ESL Program -- 34. Managing Second Language Acquisition Data with Natural Language Processing Tools -- 35. Managing Data Workflows for Untrained Forced Alignment: Examples from Costa Rica, Mexico, the Cook Islands, and Vanuatu -- 36. Managing Transcription Data for Automatic Speech Recognition with Elpis -- 37. Managing Data and Statistical Code According to the FAIR Principles -- 38. Managing Synchronic Corpus Data with the British National Corpus (BNC) -- 39. Managing Data in Sign Language Corpora -- 40. Managing Sign Language Video Data Collected from the Internet -- 41. Managing Data from Social Media: The Indigenous Tweets Project -- 42. Managing Semantic Norms for Cognitive Linguistics, Corpus Linguistics, and Lexicon Studies -- 43. Managing Treebank Data with the Infrastructure for the Exploration of Syntax and Semantics (INESS) 44. Managing Data in a Formal Syntactic Study of an Underinvestigated Language (Uzbek) -- 45. Managing Data for Theoretical Syntactic Study of Underdocumented Languages -- 46. Managing Experimental Data in a Study of Syntax -- 47. Managing Web Experiments for Psycholinguistics: An Example from Experimental Semantics/Pragmatics -- 48. Managing, Sharing, and Reusing fMRI Data in Computational Neurolinguistics -- 49. Managing Phonological Data in a Perception Experiment -- 50. Managing Speech Perception Data Sets -- 51. Managing and Analyzing Data with Phonological CorpusTools -- 52. Managing Phonological Inventory Data in the Development of PHOIBLE -- 53. Managing Data in a Typological Study -- 54. Managing Data for Descriptive Morphosemantics of Six Language Varieties -- 55. Managing Data in TerraLing, a Large-Scale Cross-Linguistic Database of Morphological, Syntactic, and Semantic Patterns -- 56. Managing AUTOTYP Data: Design Principles and Implementation -- Contributors -- Index Summary A guide to principles and methods for the management, archiving, sharing, and citing of linguistic research data, especially digital data.Doing language science depends on collecting, transcribing, annotating, analyzing, storing, and sharing linguistic research data. This volume offers a guide to linguistic data management, engaging with current trends toward the transformation of linguistics into a more data-driven and reproducible scientific endeavor. It offers both principles and methods, presenting the conceptual foundations of linguistic data management and a series of case studies, each of which demonstrates a concrete application of abstract principles in a current practice. In part 1, contributors bring together knowledge from information science, archiving, and data stewardship relevant to linguistic data management. Topics covered include implementation principles, archiving data, finding and using datasets, and the valuation of time and effort involved in data management. Part 2 presents snapshots of practices across various subfields, with each chapter presenting a unique data management project with generalizable guidance for researchers. The Open Handbook of Linguistic Data Management is an essential addition to the toolkit of every linguist, guiding researchers toward making their data FAIR: Findable, Accessible, Interoperable, and Reusable Analysis LANGUAGE ARTS & DISCIPLINES / Linguistics / General LANGUAGE ARTS & DISCIPLINES / Library & Information Science / Archives & Special Libraries LANGUAGE ARTS & DISCIPLINES / Library & Information Science / Digital & Online Resources Bibliography Includes bibliographical references and index Subject Computational linguistics. Natural language processing (Computer science) Data mining. Natural Language Processing Data Mining computational linguistics. Computational linguistics Data mining Natural language processing (Computer science) Form Electronic book Author Berez-Kroeker, Andrea L., editor. McDonnell, Bradley James, editor. Koller, Eve, editor. Collister, Lauren B., editor. ISBN 9780262362177 0262362171 026236607X 9780262366076

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