Computing thresholds of linguistic saliency

Siaw Fong Chung, Kathleen Ahrens, Chung-Ping Cheng, Chu Ren Huang, Petr Šimon

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

We propose and test several computational methods to automatically determine possible saliency cut-off points in Sketch Engine (Kilgarriff and Tugwell, 2001). Sketch Engine currently displays collocations in descending importance, as well as according to grammatical relations. However, Sketch Engine does not provide suggestions for a cut-off point such that any items above this cut-off point may be considered significantly salient. This proposal suggests improvement to the present Sketch Engine interface by calculating three different cut-off point methods, so that the presentation of results can be made more meaningful to users. In addition, our findings also contribute to linguistic analyses based on empirical data.

Original languageEnglish
Pages126-135
Number of pages10
Publication statusPublished - 2007 Dec 1
Event21st Pacific Asia Conference on Language, Information and Computation, PACLIC 21 - Seoul, Korea, Republic of
Duration: 2007 Nov 12007 Nov 3

Other

Other21st Pacific Asia Conference on Language, Information and Computation, PACLIC 21
CountryKorea, Republic of
CitySeoul
Period07-11-0107-11-03

Fingerprint

Linguistics
Engines
linguistics
present
Computational methods

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction
  • Linguistics and Language

Cite this

Chung, S. F., Ahrens, K., Cheng, C-P., Huang, C. R., & Šimon, P. (2007). Computing thresholds of linguistic saliency. 126-135. Paper presented at 21st Pacific Asia Conference on Language, Information and Computation, PACLIC 21, Seoul, Korea, Republic of.
Chung, Siaw Fong ; Ahrens, Kathleen ; Cheng, Chung-Ping ; Huang, Chu Ren ; Šimon, Petr. / Computing thresholds of linguistic saliency. Paper presented at 21st Pacific Asia Conference on Language, Information and Computation, PACLIC 21, Seoul, Korea, Republic of.10 p.
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Chung, SF, Ahrens, K, Cheng, C-P, Huang, CR & Šimon, P 2007, 'Computing thresholds of linguistic saliency' Paper presented at 21st Pacific Asia Conference on Language, Information and Computation, PACLIC 21, Seoul, Korea, Republic of, 07-11-01 - 07-11-03, pp. 126-135.

Computing thresholds of linguistic saliency. / Chung, Siaw Fong; Ahrens, Kathleen; Cheng, Chung-Ping; Huang, Chu Ren; Šimon, Petr.

2007. 126-135 Paper presented at 21st Pacific Asia Conference on Language, Information and Computation, PACLIC 21, Seoul, Korea, Republic of.

Research output: Contribution to conferencePaper

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T1 - Computing thresholds of linguistic saliency

AU - Chung, Siaw Fong

AU - Ahrens, Kathleen

AU - Cheng, Chung-Ping

AU - Huang, Chu Ren

AU - Šimon, Petr

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Y1 - 2007/12/1

N2 - We propose and test several computational methods to automatically determine possible saliency cut-off points in Sketch Engine (Kilgarriff and Tugwell, 2001). Sketch Engine currently displays collocations in descending importance, as well as according to grammatical relations. However, Sketch Engine does not provide suggestions for a cut-off point such that any items above this cut-off point may be considered significantly salient. This proposal suggests improvement to the present Sketch Engine interface by calculating three different cut-off point methods, so that the presentation of results can be made more meaningful to users. In addition, our findings also contribute to linguistic analyses based on empirical data.

AB - We propose and test several computational methods to automatically determine possible saliency cut-off points in Sketch Engine (Kilgarriff and Tugwell, 2001). Sketch Engine currently displays collocations in descending importance, as well as according to grammatical relations. However, Sketch Engine does not provide suggestions for a cut-off point such that any items above this cut-off point may be considered significantly salient. This proposal suggests improvement to the present Sketch Engine interface by calculating three different cut-off point methods, so that the presentation of results can be made more meaningful to users. In addition, our findings also contribute to linguistic analyses based on empirical data.

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Chung SF, Ahrens K, Cheng C-P, Huang CR, Šimon P. Computing thresholds of linguistic saliency. 2007. Paper presented at 21st Pacific Asia Conference on Language, Information and Computation, PACLIC 21, Seoul, Korea, Republic of.