1 / 38

Why should we care about lexical neighborhoods? What is CLEARPOND?

Why should we care about lexical neighborhoods? What is CLEARPOND? What does CLEARPOND reveal about languages’ structures? How can I use CLEARPOND? http://clearpond.northwestern.edu. Orthographic Neighbors. Addition. Substitution. Deletion. Phonological Neighbors. Addition. Substitution.

vui
Download Presentation

Why should we care about lexical neighborhoods? What is CLEARPOND?

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Why should we care about lexical neighborhoods? • What is CLEARPOND? • What does CLEARPOND reveal about languages’ structures? • How can I use CLEARPOND? • http://clearpond.northwestern.edu

  2. Orthographic Neighbors Addition Substitution Deletion

  3. Phonological Neighbors Addition Substitution Deletion

  4. Neighborhoods Effects onLanguage Processing • Lexical decision (Andrews, 1992; Luce & Pisoni, 1998; Vitevitch & Luce, 1999; Yates, Locker, & Simpson, 2004; Ziegler, Muneaux, & Grainger, 2003) • Word learning (Frisch et al., 2000; Luce & Large, 2001; Thorn & Frankish, 2005; Roodenrys & Hinton, 2002; Storkel et al., 2006)

  5. Differences across languages • Verbal picture naming • Dense phonological neighborhoods in English or Dutch speed up picture naming (Groot, Borgwaldt, Bos, & Vandeneijnden, 2002; Marian & Blumenfeld, 2006; Vitevitch & Stamer, 2006) • Dense phonological neighborhoods in Spanish slow down picture naming (Vitevitch & Stamer, 2006)

  6. face 2 substitution neighbors (fact, race) 1 deletion neighbor (ace) face 3 substitutions 1 deletion 1 addition

  7. 2 1 face 5 Spanish substitutions 3 1 1

  8. Introducing: • SUBTLEX-NL (Dutch) • SUBTLEX-US (English) • LEXIQUE (French) • SUBTLEX-DE (German) • SUBTLEX-ESP (Spanish) • Phonological transcriptions: eSpeak (http://espeak.sourceforge.net/)

  9. English French German Spanish Dutch

  10. English French German Spanish Dutch

  11. English French German Spanish Dutch 27,751 Words in Each Language

  12. English French German Spanish Dutch

  13. Comparing neighborhoods across languages

  14. mer /mɛʁ/ ver /vɛʁ/ vers /vɛʁ/ vert /vɛʁ/ verre /vɛʁ/ Homophones (light) Unique words (dark)

  15. Recap • English has the largest orthographic neighborhood density • French has the largest phonological neighborhood density • Driven by homophones • Substitution neighbors are more common than additions or deletions

  16. Most words are 6-8 letters long, but shorter words have larger neighborhoods. • Average word length in phonemes is language-specific

  17. Foreign Neighbors 75% English Neighbors 25% French Neighbors

  18. Orthographic Within-Language and Foreign Neighbors

  19. Phonological Within-Language and Foreign Neighbors Vitevitch, 2011

  20. How to use CLEARPOND in your research http://clearpond.northwestern.edu

  21. Multi-Word Input Rich Output Selection Frequency/length Filters to generate word lists Neighborhood filters across languages

  22. Example Stimuli Creation:Bilingual lexical decision task • Generate four lists: • English ‘bridge’ words: large English and French neighborhoods • English-specific words: large English neighborhoods, but no French neighbors • French ‘bridge’ words: large French and English neighborhoods • French-specific words: large French neighborhoods, but no English neighborhoods

  23. Built on comparable word lists across Dutch, English, French, German, and Spanish • Reveals common neighborhood patterns as well as language-specific trends • Calculates neighborhoods across languages for cross-linguistic and bilingual research • Free, online tool (http://clearpond.northwestern.edu) • Look up neighborhoods for a list of words • Generate a list based on desired characteristics

  24. Acknowledgments Visit http://clearpond.northwestern.edu And see our manuscript in PLoS ONE (Marian, Bartolotti, Chabal, and Shook, 2012) • Bilingualism and Psycholinguistics Lab • Tony Lam • Xin Wang • Scott Schroeder • Funding sources • NICHD RO1 HD059858-01A

More Related