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OT and JXNL-Soar

OT and JXNL-Soar. Nathan Glenn Nathan.g.glenn@gmail.com BYU. Optimality Theory. Is a method of predicting linguistic or other behavior using ranked violable constraints Good for predicting linguistic phenomena, cross-linguistic and dialectic variation Currently biggest use is in phonology

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OT and JXNL-Soar

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  1. OT and JXNL-Soar Nathan Glenn Nathan.g.glenn@gmail.com BYU

  2. Optimality Theory • Is a method of predicting linguistic or other behavior using ranked violable constraints • Good for predicting linguistic phenomena, cross-linguistic and dialectic variation • Currently biggest use is in phonology • Also used for morphology, syntax, etc. • Can be combined with other frameworks (Minimalist syntax, Analogical Modeling)

  3. Desired Application • Case assignment in Japanese • Possible assignments: • は・が-topic/subject • を-object • に-dative • Usually straightforward, but there are exceptions! • Quirky case verbs allow dative marking on the subject

  4. How OTWorks • Tableau shows violable constraints and possible behavior • Compare and rule out cells on a column-by-column basis • Index points to outcome

  5. Approach from Woolford’s“Case Patterns” Generalized approach accounting for case patterns in Japanese, Icelandic, and other quirky case languages

  6. Soar Implementation • Initialize s1 ^tableau.constraint • Each constraint has a ^badness integer value • Match violations and mark operator with ^violation pointing to tableau.constraint • 1 production does all the logic • Find highest violation that <o1> violates which <o2> doesn’t • If <o2> doesn’t violate anything with higher badness, prefer <o2>

  7. Nuggets Coal • General OT implementation • Natural use in Soar • Good account for Japanese case assignment • Use of OT is non-exclusive • Not integrated into JXNL-Soar yet • Japanese WordNethas no verb frames (argh!)

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