Syntax and Morphology; a Single Computational Engine
Hilda Koopman koopman@ucla.edu
University of California, Los Angeles
Paris EALING 2010 september 7 and september 8th
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Syntax and Morphology; a Single Computational Engine Hilda Koopman - - PowerPoint PPT Presentation
Syntax and Morphology; a Single Computational Engine Hilda Koopman koopman@ucla.edu University of California, Los Angeles Paris EALING 2010 september 7 and september 8th Koopman Single computational engine 1 The atoms that Merge
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V1V2res V1V2compound V N LE V1V2-LE V1V2 LE V LE N POT V1 de V2 V1*de V2 RED (V1V1 V2) V1V2-V1V2 V1 V1 N Koopman Single computational engine 3
Very long tradition of study. (Thompson 1973, Yafeil Li 1990, A.Williams 2005 , Sybesma 1997, Cheng and Huang (1997), Cheng (1994), Zang (2007) Wang (2010) among many many others)
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1 How can we understand the property of being pronounced ’as
2 Empirical Focus : resultative constructions (Mandarin, Ewe
3 How do the distributional properties of these constructions
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For excellent discussions see DiSciullo and Williams (1987); Marantz Ealing lectures (2006), and literature cited there 1 Intuitive distinction; but is that distinction theoretically
Historically: taking words to be syntactic atoms was a pretty good research strategy, but this is no longer the case in current stage of the theory (K and Sz (2000)). 2 To the extent there are differences between words and phrases,
3 Modularity
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(Cinque 1999, 2005).
Conclusion: syntax all the way (affix ordering not head movement, but regular phrasal movement K and Sz (2000), K (2005)) Koopman Single computational engine 11
what about case, agreement, complementizers, linkers, functional Ps, thematic vowels, infinitival endings, and the like?
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1 Atoms (LI) ("Lexical Item") 2 Merge (External Merge. First Merge), Internal Merge (Move,
1 not words(traditional grammars), lexicalist theories; nor fully
2 but smaller units.. decompositional approaches (how small:
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1 Words and phrases differ in output size; not w.r.t. atoms nor
2 Locality; (Relativized) Minimality. (cyclic spell-out) 3 Single Computational Engine Hypothesis:
1
2
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Neg >ADV> ..N
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(Thompson 1973, Yafeil Li 1990, A.Williams 2005 , Sybesma 1997, Cheng and Huang (1997), Cheng (1994), Zang (2007) Wang (2010) among many many others)
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V1V2 alternate with phrasal resultatives (Huang, Zhang 2008) I will ignore status and analysis of b; (relation to verb doubling) (cf (25))
have to be an argument of V1) ambiguity and representation. (25) Taotao Taotao zhui chase Youyou Youyou zhui chase lei tire le. LE =(25) b. Taotoa got tired from chasing Youyou Koopman Single computational engine 29
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Taotao chased Youyou and as a result Taotao got tired.
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initial small clause subject
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Taotao zhui- lei- le Youyou le =c. Youyou chase Taotao and as a result Youyou got tired
tire remerges with (silent) CAUSE (there is a way to get around this) tire cannot be modified (for the same reason as English *(very redd(en))) The event (vP)or VP merges as the subject of CAUSE (vP or VP?) Koopman Single computational engine 47
D merges higher than Cause: N to D movement (If vP); the object of V1 is smuggled past vP/PRO, due to silent non active VOICE in Mandarin ). Merge LE; le follows V2 because le attracts CAUSE, as expected. Silent modal (Potential) and Neg> Modal can merge with Perf/ CAUSE. Raising V1 Neg MOD
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Silent modal (Potential) and Neg> Modal can merge with CAUSE. Raising V1 Neg MOD V2. (simplified)
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Taotao vagent Youyou *name/*PRO/SELF tire VP Youyou chase tire CAUSE
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1 shown that the expectations of the current theory ( how to
2 V1 V2 compounds. Not lexical units, not syntactic
3 How do the distributional properties of these constructions
4 Applied the Mandarin analysis to English resultatives; showed
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1 Applied the Mandarin analysis partially to English resultatives;
2 I did not however give a full account (i.e. maybe white be be
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