{"id":"https://openalex.org/W2251032226","doi":"https://doi.org/10.3115/v1/d14-1174","title":"Improving Pivot-Based Statistical Machine Translation by Pivoting the Co-occurrence Count of Phrase Pairs","display_name":"Improving Pivot-Based Statistical Machine Translation by Pivoting the Co-occurrence Count of Phrase Pairs","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2251032226","doi":"https://doi.org/10.3115/v1/d14-1174","mag":"2251032226"},"language":"en","primary_location":{"id":"doi:10.3115/v1/d14-1174","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1174","pdf_url":"https://aclanthology.org/D14-1174.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/D14-1174.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101638902","display_name":"Xiaoning Zhu","orcid":"https://orcid.org/0000-0002-4676-7157"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoning Zhu","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100528467","display_name":"Zhongjun He","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongjun He","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100677198","display_name":"Hua Wu","orcid":"https://orcid.org/0000-0002-5687-7800"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Wu","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102790470","display_name":"Conghui Zhu","orcid":"https://orcid.org/0000-0003-3132-3059"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Conghui Zhu","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386394","display_name":"Haifeng Wang","orcid":"https://orcid.org/0000-0002-0672-7468"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Wang","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101661008","display_name":"Tiejun Zhao","orcid":"https://orcid.org/0000-0003-4659-4935"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiejun Zhao","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101638902"],"corresponding_institution_ids":["https://openalex.org/I98301712"],"apc_list":null,"apc_paid":null,"fwci":3.8051,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.940732,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1665","last_page":"1675"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.7512964010238647},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.7015807032585144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6541086435317993},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.607059121131897},{"id":"https://openalex.org/keywords/count-data","display_name":"Count data","score":0.42023757100105286},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3947613537311554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37964361906051636},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29827117919921875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2418854534626007},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.07597032189369202}],"concepts":[{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.7512964010238647},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.7015807032585144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6541086435317993},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.607059121131897},{"id":"https://openalex.org/C33643355","wikidata":"https://www.wikidata.org/wiki/Q5176731","display_name":"Count data","level":3,"score":0.42023757100105286},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3947613537311554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37964361906051636},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29827117919921875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2418854534626007},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.07597032189369202},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3115/v1/d14-1174","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1174","pdf_url":"https://aclanthology.org/D14-1174.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.653.4915","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.653.4915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/D/D14/D14-1174.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/d14-1174","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1174","pdf_url":"https://aclanthology.org/D14-1174.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3873607609","display_name":null,"funder_award_id":"2014CB340505","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2251032226.pdf","grobid_xml":"https://content.openalex.org/works/W2251032226.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W22168010","https://openalex.org/W70050165","https://openalex.org/W114828685","https://openalex.org/W171476473","https://openalex.org/W222053410","https://openalex.org/W1519942606","https://openalex.org/W1979102019","https://openalex.org/W2101105183","https://openalex.org/W2103332594","https://openalex.org/W2106261033","https://openalex.org/W2111666304","https://openalex.org/W2119727789","https://openalex.org/W2124202134","https://openalex.org/W2124807415","https://openalex.org/W2126619891","https://openalex.org/W2127134333","https://openalex.org/W2153653739","https://openalex.org/W2159928217","https://openalex.org/W2169273645","https://openalex.org/W2250481584","https://openalex.org/W2250740667","https://openalex.org/W2251496701","https://openalex.org/W2251742274","https://openalex.org/W2251913356","https://openalex.org/W2252148323","https://openalex.org/W2296116776","https://openalex.org/W2595715041","https://openalex.org/W2736671181","https://openalex.org/W4241645538"],"related_works":["https://openalex.org/W2384400852","https://openalex.org/W2963259630","https://openalex.org/W3204898214","https://openalex.org/W2765271678","https://openalex.org/W2070920720","https://openalex.org/W2775554247","https://openalex.org/W2398549619","https://openalex.org/W1542743110","https://openalex.org/W2728761353","https://openalex.org/W2883671469"],"abstract_inverted_index":{"To":[0],"overcome":[1],"the":[2,33,39,42,56,61,87],"scarceness":[3],"of":[4,32,64],"bilingual":[5],"corpora":[6],"for":[7,41],"some":[8],"language":[9,18],"pairs":[10],"in":[11],"machine":[12],"translation,":[13],"pivot-based":[14],"SMT":[15],"uses":[16],"pivot":[17],"as":[19],"a":[20,51],"\"bridge\"":[21],"to":[22,37,54,83],"generate":[23],"source-target":[24],"translation":[25,57],"from":[26],"sourcepivot":[27],"and":[28,66,75],"pivot-target":[29,67],"translation.":[30],"One":[31],"key":[34],"issues":[35],"is":[36],"estimate":[38],"probabilities":[40],"generated":[43],"phrase":[44,68],"pairs.":[45,69],"In":[46],"this":[47],"paper,":[48],"we":[49],"present":[50],"novel":[52],"approach":[53],"calculate":[55],"probability":[58],"by":[59],"pivoting":[60],"co-occurrence":[62],"count":[63],"source-pivot":[65],"Experimental":[70],"results":[71],"on":[72],"Europarl":[73],"data":[74,77],"web":[76],"show":[78],"that":[79],"our":[80],"method":[81],"leads":[82],"significant":[84],"improvements":[85],"over":[86],"baseline":[88],"systems.":[89]},"counts_by_year":[{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":5}],"updated_date":"2026-05-23T08:51:43.019350","created_date":"2025-10-10T00:00:00"}
