Thomas Egan

This book presents a comprehensive guide to the way speakers of British English use infinitive and -"-ing" clauses as verbal complements. It contains details of the non-finite complementation patterns of over 300 matrix verbs, with a particular emphasis on verbs that occur with more than one type of non-finite complement. Drawing upon data from the British National Corpus, the author shows that some of the views which are to be found in the existing literature on these sorts of clauses are in conflict with the evidence of actual usage. He also shows that there is actually much more regularity in this area than has often been taken to be the case. Moreover, this regularity is shown to be motivated by cognitive-functional factors. An appendix contains details of the relative frequency of all of the constructions dealt with in the study, together with an example of each of them. The book is of interest to language teachers as well as linguists, both theoretical and applied. Thomas Egan is a senior lecturer in English language at Hedmark University College.

A Usage-based Study of Infinitive and -ing Clauses in English

Non-finite Complementation

Hilde Hasselgård

Anna Čermáková

Sylvi Rørvik

This volume comprises a collection of contrastive studies on language and time. Languages represented include Czech, French, German, Mandarin, Norwegian and Swedish, all of which are contrasted with English. While the amount of published research on temporal relations in general is considerable, less work has been carried out on comparing how we talk about time in various languages and how languages change over time. Several methodological challenges are addressed and solutions proposed, such as how to deal with poor quality historical data and how to identify n-grams in typologically different languages for purposes of comparison. The results of the various studies show how multilingual corpora can increase our knowledge of language-specific features as well as linguistic, typological and cultural differences and similarities across languages.

Thomas Egan

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