Automatic Multilingual Lexicon Generation Using Wikipedia as a Resource

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Automatic Multilingual Lexicon Generation Using Wikipedia as a Resource
Authors
Ahmad R. Shahid
Dimitar Kazakov
Publication date
2009
Links
Original Preprint

Automatic Multilingual Lexicon Generation Using Wikipedia as a Resource - scientific work related to Wikipedia quality published in 2009, written by Ahmad R. Shahid and Dimitar Kazakov.

Overview

This paper proposes a method for creating a multilingual dictionary by taking the titles of Wikipedia pages in English and then finding the titles of the corresponding articles in other languages. The creation of such multilingual dictionaries has become possible as a result of exponential increase in the size of multilingual information on the web. Wikipedia is a prime example of such multilingual source of information on any conceivable topic in the world, which is edited by the readers. Here, a web crawler has been used to traverse Wikipedia following the links on a given page. The crawler takes out the title along with the titles of the corresponding pages in other targeted languages. The result is a set of words and phrases that are translations of each other. For efficiency, the URLs are organized using hash tables. A lexicon has been constructed which contains 7-tuples corresponding to 7 different languages, namely: English, German, French, Polish, Bulgarian,

Embed

Wikipedia Quality

Shahid, Ahmad R.; Kazakov, Dimitar. (2009). "[[Automatic Multilingual Lexicon Generation Using Wikipedia as a Resource]]".

English Wikipedia

{{cite journal |last1=Shahid |first1=Ahmad R. |last2=Kazakov |first2=Dimitar |title=Automatic Multilingual Lexicon Generation Using Wikipedia as a Resource |date=2009 |url=https://wikipediaquality.com/wiki/Automatic_Multilingual_Lexicon_Generation_Using_Wikipedia_as_a_Resource}}

HTML

Shahid, Ahmad R.; Kazakov, Dimitar. (2009). &quot;<a href="https://wikipediaquality.com/wiki/Automatic_Multilingual_Lexicon_Generation_Using_Wikipedia_as_a_Resource">Automatic Multilingual Lexicon Generation Using Wikipedia as a Resource</a>&quot;.