Multiple Affordances of Language Corpora for Data-driven Learning
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| Title: | Multiple Affordances of Language Corpora for Data-driven Learning |
|---|---|
| Description: | In recent years, corpora have found their way into language instruction, albeit often indirectly, through their role in syllabus and course design and in the production of teaching materials and other resources. An alternative and more innovative use is for teachers and students alike to explore corpus data directly as part of the learning process. This volume addresses this latter application of corpora by providing research insights firmly based in the classroom context and reporting on several state-of-the-art projects around the world where learners have direct access to corpus resources and tools and utilize them to improve their control of the language systems and skills or their professional expertise as translators. Its aim is to present recent advances in data-driven learning, addressing issues involving different types of corpora, for different learner profiles, in different ways for different purposes, and using a variety of different research methodologies and perspectives. |
| Authors: | Agnieszka Leńko-Szymańska, Alex Boulton |
| Resource Type: | eBook. |
| Subjects: | English language--Discourse analysis--Data processing, English language--Study and teaching--Data processing, English language--Study and teaching--Foreign speakers--Research, Computational linguistics, Corpora (Linguistics) |
| Categories: | LANGUAGE STUDY / General |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Multiple Affordances of Language Corpora for Data-driven Learning – Name: Abstract Label: Description Group: Ab Data: In recent years, corpora have found their way into language instruction, albeit often indirectly, through their role in syllabus and course design and in the production of teaching materials and other resources. An alternative and more innovative use is for teachers and students alike to explore corpus data directly as part of the learning process. This volume addresses this latter application of corpora by providing research insights firmly based in the classroom context and reporting on several state-of-the-art projects around the world where learners have direct access to corpus resources and tools and utilize them to improve their control of the language systems and skills or their professional expertise as translators. Its aim is to present recent advances in data-driven learning, addressing issues involving different types of corpora, for different learner profiles, in different ways for different purposes, and using a variety of different research methodologies and perspectives. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Agnieszka+Leńko-Szymańska%22">Agnieszka Leńko-Szymańska</searchLink><br /><searchLink fieldCode="AR" term="%22Alex+Boulton%22">Alex Boulton</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22English+language--Discourse+analysis--Data+processing%22">English language--Discourse analysis--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22English+language--Study+and+teaching--Data+processing%22">English language--Study and teaching--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22English+language--Study+and+teaching--Foreign+speakers--Research%22">English language--Study and teaching--Foreign speakers--Research</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+linguistics%22">Computational linguistics</searchLink><br /><searchLink fieldCode="DE" term="%22Corpora+%28Linguistics%29%22">Corpora (Linguistics)</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22LANGUAGE+STUDY+%2F+General%22">LANGUAGE STUDY / General</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 420.285 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: English language--Discourse analysis--Data processing Type: general – SubjectFull: English language--Study and teaching--Data processing Type: general – SubjectFull: English language--Study and teaching--Foreign speakers--Research Type: general – SubjectFull: Computational linguistics Type: general – SubjectFull: Corpora (Linguistics) Type: general Titles: – TitleFull: Multiple Affordances of Language Corpora for Data-driven Learning Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Agnieszka Leńko-Szymańska – PersonEntity: Name: NameFull: Alex Boulton – PersonEntity: Name: NameFull: Agnieszka Leńko-Szymańska – PersonEntity: Name: NameFull: Alex Boulton IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2015 – D: 20 M: 05 Type: profile Y: 2015 Identifiers: – Type: isbn-print Value: 9789027203779 – Type: isbn-electronic Value: 9789027268716 Numbering: – Type: volume Value: 00069 Titles: – TitleFull: Multiple Affordances of Language Corpora for Data-driven Learning Type: main |
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