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Homa Naficy 《Public Library Quarterly》2013,32(2):162-175
If public libraries are going to provide essential information to immigrants, they must center their efforts to help on streamlining government Web sites. The necessity for this library approach comes because of the way government agencies have chosen to communicate with immigrants and others in need of government services. This article details how Hartford Public Library developed The American Place, an electronic information center, on its Web site. In the process, staff members had to become expert in finding, analyzing, organizing and communicating information on many different kinds of immigration and refugee institutions. Other public libraries about to organize or improve the electronic information for immigrants on their Web sites will find much here to help them in their work. 相似文献
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Knowledge acquisition and bilingual terminology extraction from multilingual corpora are challenging tasks for cross-language information retrieval. In this study, we propose a novel method for mining high quality translation knowledge from our constructed Persian–English comparable corpus, University of Tehran Persian–English Comparable Corpus (UTPECC). We extract translation knowledge based on Term Association Network (TAN) constructed from term co-occurrences in same language as well as term associations in different languages. We further propose a post-processing step to do term translation validity check by detecting the mistranslated terms as outliers. Evaluation results on two different data sets show that translating queries using UTPECC and using the proposed methods significantly outperform simple dictionary-based methods. Moreover, the experimental results show that our methods are especially effective in translating Out-Of-Vocabulary terms and also expanding query words based on their associated terms. 相似文献
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