The Triangle of Language Use: A Corpus-Based Analysis of Hotel Responses to Reviews
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| Title: | The Triangle of Language Use: A Corpus-Based Analysis of Hotel Responses to Reviews |
|---|---|
| Language: | English |
| Authors: | Piyanuch Laosrirattanachai (ORCID |
| Source: | TESL-EJ. 2024 28(1). |
| Availability: | TESL-EJ. e-mail: editor@tesl-ej.org; Web site: http://tesl-ej.org |
| Peer Reviewed: | Y |
| Page Count: | 22 |
| Publication Date: | 2024 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Computational Linguistics, Speech Acts, Pragmatics, English (Second Language), Second Language Learning, Housing, Hospitality Occupations, Reputation, Computer Mediated Communication, Travel, Web Sites, Language Proficiency, Responses, Opinions, Language Styles, Writing Instruction, English for Special Purposes, Second Language Instruction, Intercultural Communication, Discourse Analysis, Tourism |
| ISSN: | 1072-4303 |
| Abstract: | Mastery of the art of crafting online reviews and responses is essential as a valuable additional tool for enhancing learners' English proficiency in specialised contexts. This study aims to: 1) Examine the formality levels in crafting reviews and responses; 2) Explore face-threatening acts utilised in reviews and politeness strategies employed in responses; and 3) Uncover moves and steps in composing reviews and responses. Data was collected from the Top 25 Hotels in the World in 2022 according to Tripadvisor.com. Six distinct corpora were formed, comprising positive, negative, and mixed reviews, along with corresponding responses, resulting in 87,973 tokens. Findings show reviewers leaned towards casual language (85.87%), while respondents used a consultative style (82.67%) in their responses. The shift from casual to consultative occurred most frequently (70.67%). For politeness, admiration (73.07%) and expressions of complaints/reprimands (64.53%) were common in reviews. In responses, strategies like offering, promising, or giving gifts (72.00%) and apologising and begging for forgiveness (50.40%) were prevalent. Reviews used three moves and ten steps, while responses employed six moves and 16 steps. These insights can be integrated into ESP classrooms to enhance review and response writing skills effectively. |
| Abstractor: | As Provided |
| Entry Date: | 2024 |
| Accession Number: | EJ1434092 |
| Database: | ERIC |
| FullText | Links: – Type: pdflink Url: https://content.ebscohost.com/cds/retrieve?content=AQICAHj0k_4E0hTGH8RJwT4gCJyBsGNe_WN95AvKlDbXJGqwxwFA3FEZ9cVCH1C4hFhNBxvrAAAA4zCB4AYJKoZIhvcNAQcGoIHSMIHPAgEAMIHJBgkqhkiG9w0BBwEwHgYJYIZIAWUDBAEuMBEEDIeli4b6Qmpa_UH45gIBEICBmwDGPGT4rOI-4k65wmQMvK4pmZNkOt5aaDWjPGPb4sK-drfeaSlTrHkLC0xne8HyVR3n4JOEkcfWoDTMdOQ_TgCDfAoZiR-ETpOtRQUR7B6jnrsQroPcwOzn2YFUJt_CgLmStWtaVyPpz6q8ihFsUSx8h0QfvEZwG7q3SOnWr7HtI8aGEXmTcFJ4n0UejXbIW1vJJqhcytv6piuK Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1434092 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Header | DbId: eric DbLabel: ERIC An: EJ1434092 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The Triangle of Language Use: A Corpus-Based Analysis of Hotel Responses to Reviews – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Piyanuch+Laosrirattanachai%22">Piyanuch Laosrirattanachai</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-6261-0176">0000-0002-6261-0176</externalLink>)<br /><searchLink fieldCode="AR" term="%22Piyapong+Laosrirattanachai%22">Piyapong Laosrirattanachai</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-9283-5202">0000-0002-9283-5202</externalLink>) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22TESL-EJ%22"><i>TESL-EJ</i></searchLink>. 2024 28(1). – Name: Avail Label: Availability Group: Avail Data: TESL-EJ. e-mail: editor@tesl-ej.org; Web site: http://tesl-ej.org – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 22 – Name: DatePubCY Label: Publication Date Group: Date Data: 2024 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Computational+Linguistics%22">Computational Linguistics</searchLink><br /><searchLink fieldCode="DE" term="%22Speech+Acts%22">Speech Acts</searchLink><br /><searchLink fieldCode="DE" term="%22Pragmatics%22">Pragmatics</searchLink><br /><searchLink fieldCode="DE" term="%22English+%28Second+Language%29%22">English (Second Language)</searchLink><br /><searchLink fieldCode="DE" term="%22Second+Language+Learning%22">Second Language Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Housing%22">Housing</searchLink><br /><searchLink fieldCode="DE" term="%22Hospitality+Occupations%22">Hospitality Occupations</searchLink><br /><searchLink fieldCode="DE" term="%22Reputation%22">Reputation</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Mediated+Communication%22">Computer Mediated Communication</searchLink><br /><searchLink fieldCode="DE" term="%22Travel%22">Travel</searchLink><br /><searchLink fieldCode="DE" term="%22Web+Sites%22">Web Sites</searchLink><br /><searchLink fieldCode="DE" term="%22Language+Proficiency%22">Language Proficiency</searchLink><br /><searchLink fieldCode="DE" term="%22Responses%22">Responses</searchLink><br /><searchLink fieldCode="DE" term="%22Opinions%22">Opinions</searchLink><br /><searchLink fieldCode="DE" term="%22Language+Styles%22">Language Styles</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+Instruction%22">Writing Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22English+for+Special+Purposes%22">English for Special Purposes</searchLink><br /><searchLink fieldCode="DE" term="%22Second+Language+Instruction%22">Second Language Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Intercultural+Communication%22">Intercultural Communication</searchLink><br /><searchLink fieldCode="DE" term="%22Discourse+Analysis%22">Discourse Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Tourism%22">Tourism</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 1072-4303 – Name: Abstract Label: Abstract Group: Ab Data: Mastery of the art of crafting online reviews and responses is essential as a valuable additional tool for enhancing learners' English proficiency in specialised contexts. This study aims to: 1) Examine the formality levels in crafting reviews and responses; 2) Explore face-threatening acts utilised in reviews and politeness strategies employed in responses; and 3) Uncover moves and steps in composing reviews and responses. Data was collected from the Top 25 Hotels in the World in 2022 according to Tripadvisor.com. Six distinct corpora were formed, comprising positive, negative, and mixed reviews, along with corresponding responses, resulting in 87,973 tokens. Findings show reviewers leaned towards casual language (85.87%), while respondents used a consultative style (82.67%) in their responses. The shift from casual to consultative occurred most frequently (70.67%). For politeness, admiration (73.07%) and expressions of complaints/reprimands (64.53%) were common in reviews. In responses, strategies like offering, promising, or giving gifts (72.00%) and apologising and begging for forgiveness (50.40%) were prevalent. Reviews used three moves and ten steps, while responses employed six moves and 16 steps. These insights can be integrated into ESP classrooms to enhance review and response writing skills effectively. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2024 – Name: AN Label: Accession Number Group: ID Data: EJ1434092 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 22 Subjects: – SubjectFull: Computational Linguistics Type: general – SubjectFull: Speech Acts Type: general – SubjectFull: Pragmatics Type: general – SubjectFull: English (Second Language) Type: general – SubjectFull: Second Language Learning Type: general – SubjectFull: Housing Type: general – SubjectFull: Hospitality Occupations Type: general – SubjectFull: Reputation Type: general – SubjectFull: Computer Mediated Communication Type: general – SubjectFull: Travel Type: general – SubjectFull: Web Sites Type: general – SubjectFull: Language Proficiency Type: general – SubjectFull: Responses Type: general – SubjectFull: Opinions Type: general – SubjectFull: Language Styles Type: general – SubjectFull: Writing Instruction Type: general – SubjectFull: English for Special Purposes Type: general – SubjectFull: Second Language Instruction Type: general – SubjectFull: Intercultural Communication Type: general – SubjectFull: Discourse Analysis Type: general – SubjectFull: Tourism Type: general Titles: – TitleFull: The Triangle of Language Use: A Corpus-Based Analysis of Hotel Responses to Reviews Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Piyanuch Laosrirattanachai – PersonEntity: Name: NameFull: Piyapong Laosrirattanachai IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1072-4303 Numbering: – Type: volume Value: 28 – Type: issue Value: 1 Titles: – TitleFull: TESL-EJ Type: main |
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