The effect of bilingual term list size on dictionary-based cross-language information retrieval

Demner‐Fushman, Dina; Oard, Douglas W.

doi:10.1109/hicss.2003.1174250

Cited by 26 publications

(21 citation statements)

References 18 publications

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“…For TDT-2003 we plan to incorporate the best results from our Arabic-English TREC-2002 CLIR system and from our earlier work on MandarinEnglish translingual topic tracking. Given the importance of proper names to detection in news stories [6], we are also interested in exploring the effect of more sophisticated transliteration techniques than we tried this year.…”

Section: Resultsmentioning

confidence: 99%

TDT-2002 Topic Tracking at Maryland: First Experiments with the Lemur Toolkit

He¹,

Park²,

Murray³

et al. 2003

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Section: Resultsmentioning

confidence: 99%

TDT-2002 Topic Tracking at Maryland: First Experiments with the Lemur Toolkit

He¹,

Park²,

Murray³

et al. 2003

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“…The focus on the third stage has been somewhat more recent, with the best presently known technique based on accumulating term frequency and document frequency evidence separately in the document language, then combining that evidence to create query-language term weights [6].…”

Section: E Bilingual Dictionarymentioning

confidence: 99%

“…For the first stage, the best results are typically obtained by translating multiword expressions when possible, backing off to individual words when necessary, and further backing off to morphological roots when the surface form cannot be found [6].…”

Section: E Bilingual Dictionarymentioning

confidence: 99%

“…In contrast to the bilingual dictionary, a monolingual dictionary defines words and phrases instead of translating them. [6] Bilingual term lists are extensively used as a resource for dictionary-based Cross-Language Information Retrieval (CLIR), in which the goal is to find documents written in one natural language based on queries that are expressed in another.…”

Section: E Bilingual Dictionarymentioning

confidence: 99%

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Cross Language Information Retrieval Model for Discovering WSDL Documents Using Arabic Language Query

I.Sultan¹,

Khedr²,

Alsheref³

2013

IJACSA

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“…The most directly comparable translation resource that we used was a manually created clean bilingual term list obtained from the Internet. That bilingual term list contains 30,322 unique translation pairs, which several studies have shown to be enough to approach a point of diminishing returns in cross-language retrieval applications [7].…”

Section: Cross Language Retrieval Applicationsmentioning

confidence: 99%

Parsing and Tagging of Bilingual Dictionary

Karagol-Ayan

Doermann

et al. 2003

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Bilingual dictionaries hold great potential as a source of lexical resources for training and testing automated systems for optical character recognition, machine translation, and cross-language information retrieval. In this paper, we describe a system for extracting term lexicons from printed bilingual dictionaries. Our work was divided into three phases -dictionary segmentation, entry tagging, and generation. In segmentation, pages are divided into logical entries based on structural features learned from selected examples. The extracted entries are associated with functional labels and passed to a tagging module which associates linguistic labels with each word or phrase in the entry. The output of the system is a structure that represents the entries from the dictionary. We have used this approach to parse a variety of dictionaries with both Latin and non-Latin alphabets, and demonstrate the results of term lexicon generation for retrieval from a collection of French news stories using English queries.Keywords: Cross-Language IR, OCR, Logical Analysis, Page Segmentation, Bilingual DictionariesThe support of this research under DARPA cooperative agreement N660010028910 and DOD contract MDA90402C0406 is gratefully acknowledged. Report Documentation PageForm Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number.

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The effect of bilingual term list size on dictionary-based cross-language information retrieval

Abstract: Bilingual term lists are extensively used as a resource for dictionary-based Cross-Language Information Retrieval (CLIR)

Cited by 26 publications

References 18 publications

TDT-2002 Topic Tracking at Maryland: First Experiments with the Lemur Toolkit

TDT-2002 Topic Tracking at Maryland: First Experiments with the Lemur Toolkit

Cross Language Information Retrieval Model for Discovering WSDL Documents Using Arabic Language Query

Parsing and Tagging of Bilingual Dictionary

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