Translation Resources, Merging Strategies and Relevance Feedback for Cross-language Information Retrieval

Djoerd Hiemstra; Wessel Kraaij; Renée Pohlmann; Thijs Westerveld

doi:10.1007/3-540-44645-1

Translation Resources, Merging Strategies and Relevance Feedback for Cross-language Information Retrieval

Djoerd Hiemstra, Wessel Kraaij, Renée Pohlmann, Thijs Westerveld

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Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

30 Citations (Scopus)

217 Downloads (Pure)

Abstract

This paper describes the official runs of the Twenty-One group for the first CLEF workshop. The Twenty-One group participated in the monolingual, bilingual and multilingual tasks. The following new techniques are introduced in this paper. In the bilingual task we experimented with different methods to estimate translation probabilities. In the multilingual task we experimented with refinements on raw-score merging techniques and with a new relevance feedback algorithm that re-estimates both the model's translation probabilities and the relevance weights. Finally, we performed preliminary experiments to exploit the web to generate translation probabilities and bilingual dictionaries, notably for English-Italian and English-Dutch.

Original language	English
Title of host publication	Cross-Language Information Retrieval and Evaluation
Subtitle of host publication	Workshop of Cross-Language Evaluation Forum, CLEF 2000, Lisbon, Portugal, September 21-22, 2000, Revised Papers
Place of Publication	Berlin, Heidelberg
Publisher	Springer
Pages	102-114
Number of pages	13
ISBN (Electronic)	978-3-540-44645-3
ISBN (Print)	978-3-540-42446-8
DOIs	https://doi.org/10.1007/3-540-44645-1
Publication status	Published - 2001
Event	1st Workshop of the Cross-Language Evaluation Forum, CLEF 2000 - Lisbon, Portugal Duration: 21 Sept 2000 → 22 Sept 2000 Conference number: 1

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	2069
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Workshop

Workshop	1st Workshop of the Cross-Language Evaluation Forum, CLEF 2000
Abbreviated title	CLEF
Country/Territory	Portugal
City	Lisbon
Period	21/09/00 → 22/09/00

Keywords

2023 OA procedure

Access to Document

10.1007/3-540-44645-1

ArticleFinal published version, 210 KBLicence: Taverne

Cite this

Hiemstra, D., Kraaij, W., Pohlmann, R., & Westerveld, T. (2001). Translation Resources, Merging Strategies and Relevance Feedback for Cross-language Information Retrieval. In Cross-Language Information Retrieval and Evaluation: Workshop of Cross-Language Evaluation Forum, CLEF 2000, Lisbon, Portugal, September 21-22, 2000, Revised Papers (pp. 102-114). (Lecture Notes in Computer Science; Vol. 2069). Springer. https://doi.org/10.1007/3-540-44645-1

Hiemstra, Djoerd ; Kraaij, Wessel ; Pohlmann, Renée et al. / Translation Resources, Merging Strategies and Relevance Feedback for Cross-language Information Retrieval. Cross-Language Information Retrieval and Evaluation: Workshop of Cross-Language Evaluation Forum, CLEF 2000, Lisbon, Portugal, September 21-22, 2000, Revised Papers. Berlin, Heidelberg : Springer, 2001. pp. 102-114 (Lecture Notes in Computer Science).

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title = "Translation Resources, Merging Strategies and Relevance Feedback for Cross-language Information Retrieval",

abstract = "This paper describes the official runs of the Twenty-One group for the first CLEF workshop. The Twenty-One group participated in the monolingual, bilingual and multilingual tasks. The following new techniques are introduced in this paper. In the bilingual task we experimented with different methods to estimate translation probabilities. In the multilingual task we experimented with refinements on raw-score merging techniques and with a new relevance feedback algorithm that re-estimates both the model's translation probabilities and the relevance weights. Finally, we performed preliminary experiments to exploit the web to generate translation probabilities and bilingual dictionaries, notably for English-Italian and English-Dutch.",

keywords = "2023 OA procedure",

author = "Djoerd Hiemstra and Wessel Kraaij and Ren{\'e}e Pohlmann and Thijs Westerveld",

year = "2001",

doi = "10.1007/3-540-44645-1",

language = "English",

isbn = "978-3-540-42446-8",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "102--114",

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address = "Germany",

note = "1st Workshop of the Cross-Language Evaluation Forum, CLEF 2000, CLEF ; Conference date: 21-09-2000 Through 22-09-2000",

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Hiemstra, D, Kraaij, W, Pohlmann, R & Westerveld, T 2001, Translation Resources, Merging Strategies and Relevance Feedback for Cross-language Information Retrieval. in Cross-Language Information Retrieval and Evaluation: Workshop of Cross-Language Evaluation Forum, CLEF 2000, Lisbon, Portugal, September 21-22, 2000, Revised Papers. Lecture Notes in Computer Science, vol. 2069, Springer, Berlin, Heidelberg, pp. 102-114, 1st Workshop of the Cross-Language Evaluation Forum, CLEF 2000, Lisbon, Portugal, 21/09/00. https://doi.org/10.1007/3-540-44645-1

Translation Resources, Merging Strategies and Relevance Feedback for Cross-language Information Retrieval. / Hiemstra, Djoerd; Kraaij, Wessel; Pohlmann, Renée et al.
Cross-Language Information Retrieval and Evaluation: Workshop of Cross-Language Evaluation Forum, CLEF 2000, Lisbon, Portugal, September 21-22, 2000, Revised Papers. Berlin, Heidelberg: Springer, 2001. p. 102-114 (Lecture Notes in Computer Science; Vol. 2069).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

TY - GEN

T1 - Translation Resources, Merging Strategies and Relevance Feedback for Cross-language Information Retrieval

AU - Hiemstra, Djoerd

AU - Kraaij, Wessel

AU - Pohlmann, Renée

AU - Westerveld, Thijs

N1 - Conference code: 1

PY - 2001

Y1 - 2001

N2 - This paper describes the official runs of the Twenty-One group for the first CLEF workshop. The Twenty-One group participated in the monolingual, bilingual and multilingual tasks. The following new techniques are introduced in this paper. In the bilingual task we experimented with different methods to estimate translation probabilities. In the multilingual task we experimented with refinements on raw-score merging techniques and with a new relevance feedback algorithm that re-estimates both the model's translation probabilities and the relevance weights. Finally, we performed preliminary experiments to exploit the web to generate translation probabilities and bilingual dictionaries, notably for English-Italian and English-Dutch.

AB - This paper describes the official runs of the Twenty-One group for the first CLEF workshop. The Twenty-One group participated in the monolingual, bilingual and multilingual tasks. The following new techniques are introduced in this paper. In the bilingual task we experimented with different methods to estimate translation probabilities. In the multilingual task we experimented with refinements on raw-score merging techniques and with a new relevance feedback algorithm that re-estimates both the model's translation probabilities and the relevance weights. Finally, we performed preliminary experiments to exploit the web to generate translation probabilities and bilingual dictionaries, notably for English-Italian and English-Dutch.

KW - 2023 OA procedure

U2 - 10.1007/3-540-44645-1

DO - 10.1007/3-540-44645-1

M3 - Conference contribution

SN - 978-3-540-42446-8

T3 - Lecture Notes in Computer Science

SP - 102

EP - 114

BT - Cross-Language Information Retrieval and Evaluation

PB - Springer

CY - Berlin, Heidelberg

T2 - 1st Workshop of the Cross-Language Evaluation Forum, CLEF 2000

Y2 - 21 September 2000 through 22 September 2000

ER -

Hiemstra D, Kraaij W, Pohlmann R, Westerveld T. Translation Resources, Merging Strategies and Relevance Feedback for Cross-language Information Retrieval. In Cross-Language Information Retrieval and Evaluation: Workshop of Cross-Language Evaluation Forum, CLEF 2000, Lisbon, Portugal, September 21-22, 2000, Revised Papers. Berlin, Heidelberg: Springer. 2001. p. 102-114. (Lecture Notes in Computer Science). doi: 10.1007/3-540-44645-1

Translation Resources, Merging Strategies and Relevance Feedback for Cross-language Information Retrieval

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