{"id":"https://openalex.org/W1736600331","doi":null,"title":"Accurate Non-Hierarchical Phrase-Based Translation","display_name":"Accurate Non-Hierarchical Phrase-Based Translation","publication_year":2010,"publication_date":"2010-06-02","ids":{"openalex":"https://openalex.org/W1736600331","mag":"1736600331"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.167.7638","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.167.7638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://nlp.stanford.edu/%7Emgalley/papers/naacl10-gaps.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5107838508","display_name":"Michel Galley","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michel Galley","raw_affiliation_strings":["Stanford University Stanford CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University Stanford CA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046006076","display_name":"Christopher D. Manning","orcid":"https://orcid.org/0000-0001-6155-649X","observed_orcids":["https://orcid.org/0000-0001-6155-649X"]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher D. Manning","raw_affiliation_strings":["Stanford University Stanford CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University Stanford CA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":8.4566,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.97746095,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"966","last_page":"974"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.00039999998989515007,"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":0.00019999999494757503,"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/phrase-based-machine-translation","display_name":"phrase-based statistical machine translation","score":0.9049999713897705},{"id":"https://openalex.org/keywords/moses","display_name":"Moses","score":0.5049999952316284},{"id":"https://openalex.org/keywords/joshua","display_name":"Joshua","score":0.9330000281333923},{"id":"https://openalex.org/keywords/hiero","display_name":"Hiero","score":0.8790000081062317},{"id":"https://openalex.org/keywords/chinese-english-translation","display_name":"Chinese-English translation","score":0.9089999794960022},{"id":"https://openalex.org/keywords/generalization-to-unseen-data","display_name":"generalization to unseen data","score":0.6740000247955322}],"concepts":[{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.8693040609359741},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.798000693321228},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.7118526101112366},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.6175903081893921},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6156643629074097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6149191856384277},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.586203396320343},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.51233971118927},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5056130886077881},{"id":"https://openalex.org/C206134035","wikidata":"https://www.wikidata.org/wiki/Q811525","display_name":"Treebank","level":3,"score":0.49196645617485046},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.48342621326446533},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.41592922806739807},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.35340598225593567},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27983155846595764},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25049805641174316},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09133431315422058},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.167.7638","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.167.7638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://nlp.stanford.edu/%7Emgalley/papers/naacl10-gaps.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.178.1129","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.178.1129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.aclweb.org/anthology/N/N10/N10-1140.pdf","raw_type":"text"},{"id":"mag:1736600331","doi":null,"is_oa":false,"landing_page_url":"https://nlp.stanford.edu/pubs/naacl10-discontinuous_phrases.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306420633","display_name":"North American Chapter of the Association for Computational Linguistics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"North American Chapter of the Association for Computational Linguistics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W30655990","https://openalex.org/W1498238796","https://openalex.org/W1631260214","https://openalex.org/W1969974515","https://openalex.org/W1989348531","https://openalex.org/W2005712418","https://openalex.org/W2040781285","https://openalex.org/W2061910127","https://openalex.org/W2098032362","https://openalex.org/W2101105183","https://openalex.org/W2105891181","https://openalex.org/W2107895803","https://openalex.org/W2117745860","https://openalex.org/W2119168550","https://openalex.org/W2124807415","https://openalex.org/W2125536435","https://openalex.org/W2133768083","https://openalex.org/W2140343992","https://openalex.org/W2143291137","https://openalex.org/W2144879357","https://openalex.org/W2149327368","https://openalex.org/W2150378737","https://openalex.org/W2150903784","https://openalex.org/W2153653739","https://openalex.org/W2158388102","https://openalex.org/W2165199647","https://openalex.org/W2169724380","https://openalex.org/W2171421863","https://openalex.org/W2242975712","https://openalex.org/W2437005631"],"related_works":["https://openalex.org/W2437005631","https://openalex.org/W2152263452","https://openalex.org/W2121227704","https://openalex.org/W2117745860","https://openalex.org/W3203922129","https://openalex.org/W2186598481","https://openalex.org/W2031118240","https://openalex.org/W2153653739","https://openalex.org/W2096462592","https://openalex.org/W7097063413"],"abstract_inverted_index":{"A":[0],"principal":[1],"weakness":[2],"of":[3,110,137],"conventional":[4],"(i.e.,":[5],"non-hierarchical)":[6],"phrase-based":[7,24,48],"statistical":[8],"machine":[9],"translation":[10],"is":[11,97,100,144],"that":[12,98,133],"it":[13,113],"can":[14],"only":[15],"exploit":[16],"continuous":[17],"phrases.":[18,88],"In":[19],"this":[20],"paper,":[21],"we":[22],"extend":[23],"decoding":[25],"to":[26,45,127,146],"allow":[27],"both":[28,81],"source":[29],"and":[30,41,83,112,122,142],"target":[31],"phrasal":[32],"discontinuities,":[33],"which":[34],"provide":[35],"better":[36],"generalization":[37],"on":[38,71,73],"unseen":[39],"data":[40],"yield":[42],"significant":[43,67],"improvements":[44],"a":[46,59,65,106],"standard":[47],"system":[49,56,62,85,104],"(Moses).":[50],"More":[51],"interestingly,":[52],"our":[53,84,103],"discontinuous":[54,87],"phrasebased":[55],"also":[57],"outperforms":[58],"state-of-the-art":[60],"hierarchical":[61,117],"(Joshua)":[63],"by":[64],"very":[66],"margin":[68],"(+1.03":[69],"BLEU":[70],"average":[72],"five":[74],"Chinese-English":[75],"NIST":[76],"test":[77],"sets),":[78],"even":[79],"though":[80],"Joshua":[82,143],"support":[86],"Since":[89],"the":[90,129,134],"key":[91],"difference":[92],"between":[93],"these":[94],"two":[95],"systems":[96,138],"ours":[99],"not":[101],"hierarchical\u2014i.e.,":[102],"uses":[105],"string-based":[107],"decoder":[108],"instead":[109],"CKY,":[111],"imposes":[114],"no":[115],"hard":[116],"reordering":[118],"constraints":[119],"during":[120],"training":[121],"decoding\u2014this":[123],"paper":[124],"sets":[125],"out":[126],"challenge":[128],"commonly":[130],"held":[131],"belief":[132],"tree-based":[135],"parameterization":[136],"such":[139],"as":[140],"Hiero":[141],"crucial":[145],"their":[147],"good":[148],"performance":[149],"against":[150],"Moses.":[151],"1":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":12},{"year":2012,"cited_by_count":6}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2016-06-24T00:00:00"}
