{"id":158956,"date":"2010-02-01T00:00:00","date_gmt":"2010-02-01T00:00:00","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/msr-research-item\/crosslingual-information-retrieval-system-enhanced-with-transliteration-generation-and-mining\/"},"modified":"2018-10-16T21:14:08","modified_gmt":"2018-10-17T04:14:08","slug":"crosslingual-information-retrieval-system-enhanced-with-transliteration-generation-and-mining","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/crosslingual-information-retrieval-system-enhanced-with-transliteration-generation-and-mining\/","title":{"rendered":"Crosslingual Information Retrieval System Enhanced with Transliteration Generation and Mining"},"content":{"rendered":"<div class=\"asset-content\">\n<p>This report documents the participation of Mi-crosoft Research India (MSR India) in the Crosslingual Information Retrieval (CLIR) evaluation organized by the Forum for Information Retrieval Evaluation 2010 [FIRE 2010]. MSR India participated in two crosslingual evaluation tasks, namely the Hindi-English and Tamil-English crosslingual tasks, in addition to the English-English monolingual task. Our core CLIR engine employed a language modeling based approach using query likelihood based document ranking and a probabilistic translation lexicon learned from English-Hindi and English-Tamil parallel corpora. In addition, we employed two specific techniques to deal with out-of-vocabulary terms in the crosslingual runs: first, generating transliterations directly or transitively, and second, mining possible transliteration equiva-lents from the documents retrieved in the first-pass. We show experimentally that each of these techniques significantly improved the overall retrieval performance of our crosslingual IR system. Our system, using all of the topic-description-and-narrative information, achieved the peak retrieval performance of a MAP of 0.5133 in the monolingual English-English task; in crosslingual tasks, our systems achieved a peak performance of a MAP of 0.4977 in Hindi-English and 0.4145 in the Tamil-English. The post-task analyses indicate that the mining of appropriate transliterations from the top results of the first-pass retrieval achieved enhanced the crosslingual performance of our system overall, in addition to enhancing individual performance of more queries. Our Hindi-English crosslingual retrieval performance was nearly equal (~97%) to the English-English monolingual retrieval performance, indicating the effectiveness of our approaches to handle OOV\u201fs to enhance the baseline performance of our CLIR system.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This report documents the participation of Mi-crosoft Research India (MSR India) in the Crosslingual Information Retrieval (CLIR) evaluation organized by the Forum for Information Retrieval Evaluation 2010 [FIRE 2010]. MSR India participated in two crosslingual evaluation tasks, namely the Hindi-English and Tamil-English crosslingual tasks, in addition to the English-English monolingual task. Our core CLIR engine [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"Proceedings of the FIRE 2010 Shared Evaluation","msr_chapter":"","msr_edition":"the Forum for Information Retrieval Evaluation (FIRE-2010) Workshop, Kolkata, India, Proceedings of the FIRE 2010 Shared Evaluation","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"the Forum for Information Retrieval Evaluation (FIRE-2010) Workshop, Kolkata, India, Proceedings of the FIRE 2010 Shared Evaluation","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"","msr_other_contributors":"","msr_speaker":"","msr_award":"","msr_affiliation":"","msr_institution":"","msr_host":"","msr_version":"","msr_duration":"","msr_original_fields_of_study":"","msr_release_tracker_id":"","msr_s2_match_type":"","msr_citation_count_updated":"","msr_published_date":"2010-02-01","msr_highlight_text":"","msr_notes":"","msr_longbiography":"","msr_publicationurl":"","msr_external_url":"","msr_secondary_video_url":"","msr_conference_url":"","msr_journal_url":"","msr_s2_pdf_url":"","msr_year":2010,"msr_citation_count":0,"msr_influential_citations":0,"msr_reference_count":0,"msr_s2_match_confidence":0,"msr_microsoftintellectualproperty":true,"msr_s2_open_access":false,"msr_s2_author_ids":[],"msr_pub_ids":[],"msr_hide_image_in_river":0,"footnotes":""},"msr-research-highlight":[],"research-area":[13545,13555],"msr-publication-type":[193716],"msr-publisher":[],"msr-focus-area":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-158956","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-human-language-technologies","msr-research-area-search-information-retrieval","msr-locale-en_us"],"msr_publishername":"","msr_edition":"the Forum for Information Retrieval Evaluation (FIRE-2010) Workshop, Kolkata, India, Proceedings of the FIRE 2010 Shared Evaluation","msr_affiliation":"","msr_published_date":"2010-02-01","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"Proceedings of the FIRE 2010 Shared Evaluation","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"221842","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"2010_MSRI-FIRE2010.pdf","viewUrl":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2010\/02\/2010_MSRI-FIRE2010.pdf","id":221842,"label_id":0}],"msr_related_uploader":"","msr_citation_count":0,"msr_citation_count_updated":"","msr_s2_paper_id":"","msr_influential_citations":0,"msr_reference_count":0,"msr_arxiv_id":"","msr_s2_author_ids":[],"msr_s2_open_access":false,"msr_s2_pdf_url":null,"msr_attachments":[{"id":221842,"url":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2010\/02\/2010_MSRI-FIRE2010.pdf"}],"msr-author-ordering":[{"type":"text","value":"K. 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