{"id":"https://openalex.org/W2044992319","doi":"https://doi.org/10.1007/s10590-010-9074-5","title":"Exploiting syntactic relationships in a phrase-based decoder: an exploration","display_name":"Exploiting syntactic relationships in a phrase-based decoder: an exploration","publication_year":2010,"publication_date":"2010-05-25","ids":{"openalex":"https://openalex.org/W2044992319","doi":"https://doi.org/10.1007/s10590-010-9074-5","mag":"2044992319"},"language":"en","primary_location":{"id":"doi:10.1007/s10590-010-9074-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10590-010-9074-5","pdf_url":null,"source":{"id":"https://openalex.org/S95210917","display_name":"Machine Translation","issn_l":"0922-6567","issn":["0922-6567","1573-0573"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Translation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004696394","display_name":"Tim B. Hunter","orcid":"https://orcid.org/0000-0003-1587-9049"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tim Hunter","raw_affiliation_strings":["University of Maryland, College Park, MD, USA","University of Maryland \u2014 College Park, USA,"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"University of Maryland \u2014 College Park, USA,","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059946729","display_name":"Philip Resnik","orcid":"https://orcid.org/0000-0002-6130-8602"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip Resnik","raw_affiliation_strings":["University of Maryland, College Park, MD, USA","University of Maryland \u2014 College Park, USA,"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"University of Maryland \u2014 College Park, USA,","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004696394"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":0.4692,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73442562,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"24","issue":"2","first_page":"123","last_page":"140"},"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":0.9998000264167786,"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/T13629","display_name":"Text Readability and Simplification","score":0.9927999973297119,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8257834911346436},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.7883284091949463},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6360675096511841},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6065990328788757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5796220898628235},{"id":"https://openalex.org/keywords/word-order","display_name":"Word order","score":0.574333667755127},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.5462987422943115},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5242457985877991},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5209516286849976},{"id":"https://openalex.org/keywords/noun-phrase","display_name":"Noun phrase","score":0.5123244524002075},{"id":"https://openalex.org/keywords/phrase-structure-rules","display_name":"Phrase structure rules","score":0.4737723171710968},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4388643503189087},{"id":"https://openalex.org/keywords/phrase-search","display_name":"Phrase search","score":0.4275043308734894},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2429487705230713},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.10936519503593445}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8257834911346436},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.7883284091949463},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6360675096511841},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6065990328788757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5796220898628235},{"id":"https://openalex.org/C70777604","wikidata":"https://www.wikidata.org/wiki/Q257885","display_name":"Word order","level":2,"score":0.574333667755127},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.5462987422943115},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5242457985877991},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5209516286849976},{"id":"https://openalex.org/C153962237","wikidata":"https://www.wikidata.org/wiki/Q1401131","display_name":"Noun phrase","level":3,"score":0.5123244524002075},{"id":"https://openalex.org/C80877019","wikidata":"https://www.wikidata.org/wiki/Q7188074","display_name":"Phrase structure rules","level":3,"score":0.4737723171710968},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4388643503189087},{"id":"https://openalex.org/C37202355","wikidata":"https://www.wikidata.org/wiki/Q7188071","display_name":"Phrase search","level":5,"score":0.4275043308734894},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2429487705230713},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.10936519503593445},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.0},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.0},{"id":"https://openalex.org/C14838553","wikidata":"https://www.wikidata.org/wiki/Q7441639","display_name":"Search analytics","level":4,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10590-010-9074-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10590-010-9074-5","pdf_url":null,"source":{"id":"https://openalex.org/S95210917","display_name":"Machine Translation","issn_l":"0922-6567","issn":["0922-6567","1573-0573"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Translation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W97972967","https://openalex.org/W1517947178","https://openalex.org/W1551202288","https://openalex.org/W2008961349","https://openalex.org/W2044804339","https://openalex.org/W2079410018","https://openalex.org/W2095755718","https://openalex.org/W2097333193","https://openalex.org/W2105891181","https://openalex.org/W2111142112","https://openalex.org/W2116316001","https://openalex.org/W2118686841","https://openalex.org/W2121572581","https://openalex.org/W2123126659","https://openalex.org/W2137854946","https://openalex.org/W2146574666","https://openalex.org/W2150378737","https://openalex.org/W2152263452","https://openalex.org/W2153653739","https://openalex.org/W2153800732","https://openalex.org/W2160382364","https://openalex.org/W2162245945","https://openalex.org/W2166905217","https://openalex.org/W2210115826","https://openalex.org/W2810418360","https://openalex.org/W4241645538"],"related_works":["https://openalex.org/W2334084190","https://openalex.org/W2980536160","https://openalex.org/W1497879013","https://openalex.org/W1480936899","https://openalex.org/W185328935","https://openalex.org/W2039107294","https://openalex.org/W2026045083","https://openalex.org/W2124845874","https://openalex.org/W2369677551","https://openalex.org/W2152037873"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
