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Syntactic Ambiguity Resolution Is Not a Form of Lexical Ambiguity Resolution

 Matthew J. Traxler, Roger P.G. van Gompel and Martin J. Pickering
  
 

Abstract:

Current constraint-based models, most explicitly MacDonald, Pearlmutter, and Seidenberg (1994), propose that syntactic ambiguity resolution is a form of lexical ambiguity resolution. We discuss data from two experiments that challenge this view.

Evidence from lexical ambiguity resolution suggests that balanced ambiguous words in neutral contexts are more difficult to read than unambiguous control words (Duffy, Morris, and Rayner, 1988; Rayner and Duffy, 1986). An explanation of these results is that equally favored meanings compete for activation. If syntactic ambiguity resolution is a form of lexical ambiguity resolution, balanced syntactic ambiguities should behave similarly. However, our experiments show that ambiguous syntactic structures are easier to read than disambiguated structures.

In one study, we contrasted (1a-c):

1a. The hunter killed only the poacher with the rifle not long after sunset. (ambiguous)

1b. The hunter killed only the leopard with the rifle not long after sunset. (VP attachment)

1c. The hunter killed only the leopard with the scars not long after sunset. (NP attachment)

A pre-test demonstrated that (1a) was equally plausible on NP and VP attachment analyses, and that both (1b) and (1c) had only a single plausible analysis. Another pre-test showed that the ambiguity in (1) was balanced: Readers chose VP and NP attachment equally often in (1a). Thus, both the VP and NP attachment analysis were equally favored in (1a), but not in (1b) and (1c) where plausibility supports only one analysis.

In contrast to the predictions of lexical models, eye-tracking data showed that (1a) was reliably easier to process on a variety of measures than (1b) and (1c), which did not differ. In contrast, another experiment showed that ambiguous sentences in biased ambiguities pattern very similarly to sentences that are disambiguated toward the favored analysis.

We interpret these results in terms of an unrestricted race account, in which the processor uses any relevant information to select an initial analysis, but where alternative analyses do not compete.

 
 


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