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Government and the Search for AUXES: A Case Study in Cross-Linguistic Category Identification

Authors: Eric J. Reuland;

Government and the Search for AUXES: A Case Study in Cross-Linguistic Category Identification

Abstract

In this article I will discuss an issue which must be raised in connection with the research program underlying much interesting recent work by Akmajian, Steele and Wasow (cf. Akmajian, Steele and Wasow (1979), henceforth ASW, and Steele et al. (1981), henceforth SEA).1 The goal of the program is to provide a framework in which the question of the similarity of categories across the grammars of particular languages can be provided with a ‘substantive empirical basis’: the framework uses cross-linguistic comparison to identify as equivalent, categories which are motivated in the first instance solely by language internal analyses. The treatment of the category AUX is intended to exemplify the general approach.2

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Top 10%
Average
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