Available Methods in Farsi-English Cross Language Information Retrieval Using Machine-readable, Bilingual Glossary

Clicks: 323
ID: 82589
2009
Free PDF
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
In this paper the impact scope of Natural Language Processing (NLP) on translating search statements was determined by testing out research hypotheses. The NLP techniques employed for search statement processing included text parsing, linguistic forms identification, stopword removal, morphological analysis, and tokenization. Examination of the hypotheses indicated that using the method of translating the first equivalent term selected versus the method of selecting all equivalent terms, would contribute to increased efficiency of the review that while morphological analysis of the terms not translated by the glossary, would increase the retrieval precision cutoff, there would be no significant difference established by the lack of such analysis thereof that sentence translation as opposed to term by term translation, would increase the efficiency of Farsi-English proofreading. Other findings are also represented.
Reference Key
alizadeh2009availableiranian Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Alizadeh, Hamid;Fattahi, Rahmatullah;panah, Mohammad Reza Davar;
Journal iranian journal of information processing & management
Year 2009
DOI
DOI not found
URL
http://jipm.irandoc.ac.ir/browse.php?a_code=A-10-4-30&slc_lang=en&sid=1
Keywords
İslam agriculture history of scholarship and learning. the humanities social sciences (general) education (general) social sciences philology. linguistics language and literature bibliography. library science. information resources religion (general) philosophy. psychology. religion english literature doctrinal theology

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.