Publication:

Enhancing the linguistic discovery potential of historical corpora: a twin-track approach using ARCHER

Date

Date

Date
2019
Conference or Workshop Item
Published version

Citations

Citation copied

Smith, N., Schneider, G., Hoffmann, S., & Lehmann, H. M. (2019, July 26). Enhancing the linguistic discovery potential of historical corpora: a twin-track approach using ARCHER. CL 2019 International Corpus Linguistics Conference, Cardiff. https://eprints.lancs.ac.uk/id/eprint/135949/1/CL2019_ARCHER_annotation_abstract.pdf

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Downloads

61 since deposited on 2020-02-17
Acq. date: 2025-11-12

Views

152 since deposited on 2020-02-17
Acq. date: 2025-11-12

Citations

Additional indexing

Creators (Authors)

  • Smith, Nick
  • Schneider, Gerold
  • Hoffmann, Sebastian
  • Lehmann, Hans Martin

Event Title

Event Title

Event Title
CL 2019 International Corpus Linguistics Conference

Event Location

Event Location

Event Location
Cardiff

Event Country

Event Country

Event Country
Wales, UK

Event Start Date

Event Start Date

Event Start Date
2019-07-22

Event End Date

Event End Date

Event End Date
2019-07-26

Publisher

Publisher

Publisher
Gossip Theme

Item Type

Item Type

Item Type
Conference or Workshop Item

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Date available

Date available

Date available
2020-02-17

OA Status

OA Status

OA Status
Green

Free Access at

Free Access at

Free Access at
Official URL

Related URLs

Related URLs

Related URLs

Metrics

Downloads

61 since deposited on 2020-02-17
Acq. date: 2025-11-12

Views

152 since deposited on 2020-02-17
Acq. date: 2025-11-12

Citations

Citations

Citation copied

Smith, N., Schneider, G., Hoffmann, S., & Lehmann, H. M. (2019, July 26). Enhancing the linguistic discovery potential of historical corpora: a twin-track approach using ARCHER. CL 2019 International Corpus Linguistics Conference, Cardiff. https://eprints.lancs.ac.uk/id/eprint/135949/1/CL2019_ARCHER_annotation_abstract.pdf

Green Open Access
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