Querying across languages

Hull, David A.; Grefenstette, Gregory

doi:10.1145/243199.243212

Cited by 191 publications

(14 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are quite a number of non-Persian studies carried out in this respect, some of which are to be mentioned here. A research taking the dictionary approach and using retrieval precision demonstrate that word-to-word translating of the queries leads to a 40% -60% decrease in retrieval efficiency comparing to phraseto-phrase translation of the same queries [3]. Chen has also examined effect of phrase translation in cross-language information retrieval between Chinese and English.…”

Section: Related Workmentioning

confidence: 99%

A Method for Cross-Language Retrieval of Chunks Using Monolingual and Bilingual Corpora

Miangah¹,

Nezarat²

2010

IJCA

View full text Add to dashboard Cite

Information retrieval (IR) is a crucial area of natural language processing (NLP) and can be defined as finding documents whose content is relevant to the query need of a user. Cross-language information retrieval (CLIR) refers to a kind of information retrieval in which the language of the query and that of searched document are different.One of the fundamental issues in bilingual retrieving of information in search engines seems to be the way and the extent users call for phrases and chunks. The main problem arises when the existing bilingual dictionaries are not able to meet the users actual needs for translating such phrases and chunks into an alternative language and the results often are not reliable.In this paper it has been tried to report the findings extracted from an experiment carried out in this respect to deal with this problem. In this project a heuristic method for extracting the correct equivalents of source language chunks using monolingual and bilingual linguistic corpora as well as text classification algorithms is to be introduced. For this purpose we use a statistical measure known as Association Score (AS) to compute the association value between every two corresponding chunks in the corpus.The results gained from the experiment carried out in this respect to examine the effectiveness of the heuristic method on extracting all possible chunks in Persian language and finding the most appropriate equivalents for them in English are very encouraging.

show abstract

Section: Related Workmentioning

confidence: 99%

A Method for Cross-Language Retrieval of Chunks Using Monolingual and Bilingual Corpora

Miangah¹,

Nezarat²

2010

IJCA

View full text Add to dashboard Cite

show abstract

“…The bilingual dictionary is able to provide not only one but several options for the translation of each word [21]. In our experiments, we decide to pick the first translation available (listed under "Babylon 1") or the first two terms (listed under "Babylon 2").…”

Section: Query Translationmentioning

confidence: 99%

Report on CLEF-2001 Experiments: Effective Combined Query-Translation Approach

Savoy

2002

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…With the dictionary‐based approach, three problems result in the major loss in effectiveness of 40 to 60 percent below that of monolingual IR (Hull & Grefenstette, 1996; Ballesteros & Croft, 1997). These factors are (a) missing terminology, (b) translation ambiguity, and (c) the identification and translation of multiterm concepts as phrases.…”

Section: Query Translationmentioning

confidence: 99%

“…Several papers (Ballesteros & Croft, 1996, 1997; David, 1996; David & Dunning, 1995; Dumais, Littman, & Landauer, 1997; Hull & Grefenstette, 1996; Landauer & Littman, 1990), which may be categorized into dictionary‐based, corpus‐based, and hybrid‐based approaches, have made proposals to deal with query translation. The dictionary‐based approach uses a bilingual dictionary to select the target terms for source queries.…”

Section: Introductionmentioning

confidence: 99%

Cross-language information access to multilingual collections on the internet

Bian

Chen

2000

J. Am. Soc. Info. Sci.

View full text Add to dashboard Cite

Language barrier is the major problem that people face in searching for, retrieving, and understanding multilingual collections on the Internet. This paper deals with query translation and document translation in a Chinese‐English information retrieval system called MTIR. Bilingual dictionary and monolingual corpus‐based approaches are adopted to select suitable translated query terms. A machine transliteration algorithm is introduced to resolve proper name searching. We consider several design issues for document translation, including which material is translated, what roles the HTML tags play in translation, what the tradeoff is between the speed performance and the translation performance, and what form the translated result is presented in. About 100,000 Web pages translated in the last four months of 1997 are used for quantitative study of online and real‐time Web page translation.

show abstract

Querying across languages

Cited by 191 publications

References 12 publications

A Method for Cross-Language Retrieval of Chunks Using Monolingual and Bilingual Corpora

A Method for Cross-Language Retrieval of Chunks Using Monolingual and Bilingual Corpora

Report on CLEF-2001 Experiments: Effective Combined Query-Translation Approach

Cross-language information access to multilingual collections on the internet

Contact Info

Product

Resources

About