Expressive speech acts are one of the five basic categories of speech acts identified by Searle (1976). Expressives remain underresearched, though select categories of expressive speech acts, especially offering thanks and compliments, have received more extensive attention. An overall classification of expressive speech acts on the basis of corpus data has not yet been carried out. The current study provides a first survey of different types of expressive speech acts on the basis of three categories of spoken Irish English of different levels of formality: broadcast discussion, classroom discussion and face-to-face interaction. The data are extracted from the pragmatically tagged SPICE-Ireland corpus, a member of the International Corpus of English-family of corpora. The aim of the current study is to offer an overview and classification of expressives in the corpus material. Eight distinct subcategories of expressive speech acts are identified in this study. These categories are agreement, disagreement, volition, offering thanks, apologies, exclamations, expressions of sorrow and greetings.
This study implements an automated parser-based approach to the investigation of light verb constructions. The database consisting of ICE-GB and ICE-IRE is used to obtain qualitative and quantitative results on the use of light verb structures. The study explains and evaluates the steps employed to optimize parser output in detecting open lists of light verb constructions. It discusses the qualitative usage differences of these structures in the data between the two varieties and finds that ICE-GB favours fewer high frequency light verbs while ICE-IRE contains more diverse lower frequency light verbs and more passives. Overall, counts of light verb constructions are considerably higher than previously assumed. The projected counts suggest that attestations of light verb constructions will increase considerably if the search is not restricted to certain high-frequency light verbs as is typically done in studies employing manual or semi-automatic approaches to data collection. Overall, counts of light verb constructions are considerably higher than assumed so far.The projected counts suggest that attestations of light verb constructions will increase considerably if the search is not restricted to certain high-frequent light verbs as is typically done in studies employing manual or semi-automatic approaches to data collection.
This corpus-based study examines the use of support verb constructions in Old English and Old Irish. It determines in how far these constructions can be seen as a means to offer semantic specification of existing verbal expressions. The study further investigates whether support verb constructions may be employed to create periphrastic verbal expressions to denote concepts for which no simple verb exists in the language at that stage. This latter situation may particularly arise as a consequence of contact with new cultural concepts. The approach of the study is both qualitative and quantitative. It compares the use of the Old English constructions to corresponding Old Irish structures as well as to other language varieties, especially Present Day English, which has a considerably more analytic morphological structure than either of the two medieval languages.
Working from the perspective of Leech’s (The Pragmatics of Politeness. Oxford, Oxford University Press, 2014) modification to Blum-Kulka et al.’s (Cross-cultural pragmatics: Requests and apologies. Norwood, NJ, Ablex, 1989) approach to classifying requests, this study investigates how far impositive directive speech acts are found in spoken Irish English, a variety of English which is well-known for avoiding face threats. The study further investigates how these impositive speech acts are influenced by the genre of the spoken category. In order to do so, this study uses data from the southern component of SPICE-Ireland, a pragmatically annotated corpus of spoken Irish English, and analyses data from six different genres of spoken conversation: Broadcast discussions, Business transactions, Classroom discussions, Face-to-face conversations, Legal presentations and Telephone conversations. These genres are classified in terms of the concepts of ‘language of distance’ versus ‘language of immediacy’. In the data, impositive strategies are frequently found, particularly so in private settings of ‘language of immediacy’. In the more public and formal settings of ‘language of distance’, by contrast, indirect strategies are more prominent.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.