Albarillo CUNY Conference On Best Practices
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Academic librarians have a long tradition of working with non-native speakers of English in the library. This presentation will explore recent developments in search technology that benefit non-native speakers of English, focusing on library database resources available at CUNY.
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Albarillo CUNY Conference On Best Practices
- 1. Helping ESL Students in the Library: A Look at Language Features in Library Databases Frans Albarillo Librarian for Business and Sociology Brooklyn College
- 2. Background Applied Linguistics & ESL, French, Linguistics Business students in Hawaii Immigrant (Heritage speaker of Tagalog, French 3rd language) Language technologies in education Not computational linguist
- 3. Library Vocabulary Vendors: EBSCO, ProQuest, Gale, JSTOR, Elsevier These are companies that sell libraries digital content like journals, e-books, audio, and images
- 4. Outline CUNY Library Databases http://www.cuny.edu/libraries.html Google Translate (brief) http://translate.google.com/ i2Type (brief) http://www.sciweavers.org/i2type
- 8. You can find at least one, but usually two of these features in most databases: • language personalization • subject terms (thesaurus) • machine translation • machine reading
- 9. EBSCO
- 12. Non-English content Search in English Then filter by language Articles with non-roman scripts are difficult to find
- 15. Scope notes help with search vocabulary
- 17. Gale
- 18. French Example Gale (supports 34 languages)
- 19. No scope notes or definition, clicking on the subject term takes you to articles
- 20. Gale item record
- 21. Newer Gale Platform Not all databases have the same features, and features are always being added, so look around
- 23. ProQuest
- 24. French Interface
- 26. Suggest using Google Translate http://translate.google.com/
- 28. Non-English Journals and Magazines Data from Ulrichs Web August 2012
- 29. Summary • Look for language/features options, ask your librarian • Machine translation is not perfect, but will help the student do better searches and understand their results • Machine reading builds listening and speaking skills • Google Translate and i2Type are good tools to use when there is no machine translation or subject term lookup • Internet searches in their first language to build concept comprehension (Wikipedia in their language) • More non-English scholarly material will be available
- 30. Thank you falbarillo@brooklyn.cuny.edu CUNY Library Databases http://www.cuny.edu/libraries.html Google Translate http://translate.google.com/ i2Type http://www.sciweavers.org/i2type
Notas do Editor
- CUNY Library Portal
- Language personalization most common / subject terms also common ; machine translation (newest) machine reading (new)Databases are adding features that supplement the lack of specialized vocabulary (not only for English Language Learners)--filtering, subject terms
- Interface language changeInconsistent non-English language search (articles with non-roman scripts difficult to find)Non-English content varies with database
- Preferred term, vary by database
- For translating search terms and abstracts