PPT-Cross-Language Retrieval

INST 734 Module 11 Doug Oard Agenda CLIR DictionaryBased CLIR CorpusBased CLIR Interactive CLIR Sources of Translation Knowledge Lexicons Phrase books bilingual dictionaries Similarity. Dagobert Soergel College of Library and Information Services University of Maryland College Park, MD 20742 ds52@umail.umd.edu Presented at the AAAI Spring Symposium on Cross-Language Text and Speech R INST 734. Module 11. Doug . Oard. Agenda. CLIR. Dictionary-Based CLIR. Corpus-Based CLIR. Interactive CLIR. Web . Pages. Internet Users. Source: . E. thnologue. (1999). Source: International Monetary Fund (2014). INST 734. Module 11. Doug . Oard. Agenda. CLIR. Dictionary-Based CLIR. Corpus-Based CLIR. Interactive CLIR. Cross-Language “Retrieval”. Search. Translated Query. Ranked List. Query. Translation. Query. Introduction. Ling 573. NLP Systems and Applications. March 29, 2011. Roadmap. Motivation. 573 Structure. Question-Answering. Shared Tasks. Motivation. Information retrieval is very powerful. Search engines index and search enormous doc sets. INST 734. Module 11. Doug . Oard. Agenda. CLIR. Dictionary-Based CLIR. Corpus-Based CLIR. Interactive CLIR. Sources of Translation Knowledge. Lexicons. Phrase books, bilingual dictionaries, …. Similarity. Gonzalo Gonzalez Abad. Helen Wang. Christopher Miller. Kelly Chance. Xiong. . Liu. Thomas . Kurosu. . OMI Science Team Meeting 12. th. March 2014. Summary. Formaldehyde. Updates to spectroscopy. Slant column fitting. Introduction. Ling 573. NLP Systems and Applications. April 1, 2013. Roadmap. Motivation. 573 Structure. Question-Answering. Shared Tasks. Motivation. Information retrieval is very powerful. Search engines index and search enormous doc sets. (for MODIS). Andy Harris. Jonathan . Mittaz. Prabhat. . Koner. (Chris Merchant, Pierre . LeBorgne. ). Satellite data – pros and cons. Main advantages of satellite data. Frequent and regular global coverage (cloud cover permitting for IR). Course summary. Crista. Lopes. Lecture Objective. Know what you know. Problem Space of this course. “Big Data”. How to. collect it. index it. search it for relevant information. Industry segment . Information Retrieval. Information Retrieval. Konsep. . dasar. . dari. IR . adalah. . pengukuran. . kesamaan. sebuah. . perbandingan. . antara. . dua. . dokumen. , . mengukur. . sebearapa. . All slides ©Addison Wesley, 2008. Retrieval Models. Provide a mathematical framework for defining the search process. includes explanation of assumptions. basis of many ranking algorithms. can be implicit. ISTI-CNR, Pisa, Italy. Happy 10. th. Birthday. CLEF 2009 Workshop. 30 September – 2 October, Corfu, Greece. CLEF Objectives. Stimulate the development of multilingual IR systems (for European languages !). PART . I: visual data . processing. PART . II. . Audio Search. Liangliang Cao, . Xiaodan. . Zhuang. University of Illinois at Urbana-Champaign. What is Star Challenge?. Competition to Develop World’s Next-Generation Multimedia Search Technology. Judith Welsh, BSN, MLS. NIH Library. August 2017. PubMed description. PubMed comprises . 27+ . million journal article citations for biomedical literature from MEDLINE, life science journals, and online books.