Case and Linking in Language Comprehension: Evidence from by Markus Bader

By Markus Bader

The German language, because of its verb-final nature, particularly loose order of components and morphological Case approach, poses demanding situations for versions of human syntactic processing that have ordinarily been built at the foundation of head-initial languages with very little morphological Case. The verb-final order signifies that the parser has to make predictions concerning the enter prior to receiving the verb. What are those predictions? What occurs whilst the predictions turn into mistaken? additionally, the German morphological Case approach includes ambiguities. How are those ambiguities resolved lower than the traditional time strain in comprehension? according to theoretical as good as experimental paintings, the current monograph develops a close account of the processing steps that underly language comprehension. At its middle is a version of linking noun words to arguments of the verb within the constructing word constitution and checking the end result with admire to good points comparable to individual, quantity and Case. This quantity includes unique introductions to human syntactic processing in addition to to German syntax with the intention to be valuable specifically for readers much less accustomed to psycholinguistics and with Germanic.

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Despite the controversies surrounding the HSPM’s first-pass parsing routines, we have to stop our discussion of this topic at this point (for comprehensive discussion, cf. the literature cited in footnote 1 on page 19). However, we will return to it when discussing the preferences that have been observed for sentences with syntactic function ambiguities. As discussed in this section, one of the major questions will then be what kind of information the parser uses in making its decisions. 6. Second-Pass Parsing: Predicting Garden-Path Strength Processes of second-pass parsing have recently become a topic of intensive research (as witnessed, for example, by the collection of papers in Fodor and Ferreira, 1998).

B. c. d. e. g. , frequency of lexical items or particular properties of lexical items, frequency of particular syntactic structures) Discussing all proposals which have been made regarding first-pass parsing is far beyond the scope of this chapter (for recent reviews, see Mitchell, 1994; Pickering, 1999; Tanenhaus and Trueswell, 1995). 1. Serial, parallel, and minimal commitment models pruning of lower ranked structure pruning of higher ranked structure computed; ranked lowest computed;ranked highest multiple structures computed Parallel Model full specification full specification subsumed under underspecified structure subsumed under underspecified structure underspecified structure computed Minimal Commitment Model First-Pass Parsing: Predicting Preferences 33 34 Introducing the Human Sentence Processing Mechanism presupposes a theory of how the HSPM assembles phrase-structure representations, we will contend ourselves at this point to a review of some of the major parsing principles relevant for phrase-structure assembly, without going into any of the disputes that have revolved around this task.

When reading such a sentence, there is a strong propensity to attach the ambiguous word to the lower VP node, VP2 in (24). As is clearly visible in (24), VP2 is more local to yesterday than VP1: In linear terms, there is less distance between the head of VP2 and yesterday; in structural terms, less nodes have been postulated between inserting VP2 into the CPPM and encountering yesterday. An early influential formulation of a parsing principle capturing the notion of locality is the Right Association principle proposed in Kimball (1973).

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