{"id":"https://openalex.org/W1990174463","doi":"https://doi.org/10.1145/2334801.2334802","title":"HPSG-Based Preprocessing for English-to-Japanese Translation","display_name":"HPSG-Based Preprocessing for English-to-Japanese Translation","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W1990174463","doi":"https://doi.org/10.1145/2334801.2334802","mag":"1990174463"},"language":"en","primary_location":{"id":"doi:10.1145/2334801.2334802","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2334801.2334802","pdf_url":null,"source":{"id":"https://openalex.org/S56575750","display_name":"ACM Transactions on Asian Language Information Processing","issn_l":"1530-0226","issn":["1530-0226","1558-3430"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian Language Information Processing","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/A5110262881","display_name":"Hideki Isozaki","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideki Isozaki","raw_affiliation_strings":["NTT Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Corporation","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051961507","display_name":"Katsuhito Sudoh","orcid":"https://orcid.org/0000-0002-2122-9846"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsuhito Sudoh","raw_affiliation_strings":["NTT Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Corporation","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023441468","display_name":"Hajime Tsukada","orcid":"https://orcid.org/0000-0002-7917-1843"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hajime Tsukada","raw_affiliation_strings":["NTT Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Corporation","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070418792","display_name":"Kevin Duh","orcid":"https://orcid.org/0000-0001-8107-4383"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kevin Duh","raw_affiliation_strings":["NTT Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Corporation","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":6.0892,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.96082649,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"11","issue":"3","first_page":"1","last_page":"16"},"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/T10260","display_name":"Software Engineering Research","score":0.9689000248908997,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8815662860870361},{"id":"https://openalex.org/keywords/head-driven-phrase-structure-grammar","display_name":"Head-driven phrase structure grammar","score":0.7047665119171143},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6520127058029175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.64467853307724},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.5874890089035034},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5483905673027039},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5270904302597046},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.4934903383255005},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.4785195589065552},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4625612497329712},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4283938407897949},{"id":"https://openalex.org/keywords/synchronous-context-free-grammar","display_name":"Synchronous context-free grammar","score":0.412164568901062},{"id":"https://openalex.org/keywords/example-based-machine-translation","display_name":"Example-based machine translation","score":0.3949395418167114}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8815662860870361},{"id":"https://openalex.org/C152862876","wikidata":"https://www.wikidata.org/wiki/Q379294","display_name":"Head-driven phrase structure grammar","level":3,"score":0.7047665119171143},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6520127058029175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.64467853307724},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.5874890089035034},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5483905673027039},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5270904302597046},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.4934903383255005},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.4785195589065552},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4625612497329712},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4283938407897949},{"id":"https://openalex.org/C51802942","wikidata":"https://www.wikidata.org/wiki/Q7662211","display_name":"Synchronous context-free grammar","level":4,"score":0.412164568901062},{"id":"https://openalex.org/C24687705","wikidata":"https://www.wikidata.org/wiki/Q3753284","display_name":"Example-based machine translation","level":3,"score":0.3949395418167114},{"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/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2334801.2334802","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2334801.2334802","pdf_url":null,"source":{"id":"https://openalex.org/S56575750","display_name":"ACM Transactions on Asian Language Information Processing","issn_l":"1530-0226","issn":["1530-0226","1558-3430"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309370","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W110357785","https://openalex.org/W222053410","https://openalex.org/W224499596","https://openalex.org/W332987524","https://openalex.org/W1508977358","https://openalex.org/W1551202288","https://openalex.org/W1792850142","https://openalex.org/W1916559533","https://openalex.org/W1965893653","https://openalex.org/W1996465127","https://openalex.org/W2008961349","https://openalex.org/W2038248725","https://openalex.org/W2082571252","https://openalex.org/W2084011331","https://openalex.org/W2101105183","https://openalex.org/W2104858828","https://openalex.org/W2107948946","https://openalex.org/W2108325777","https://openalex.org/W2108460050","https://openalex.org/W2109680024","https://openalex.org/W2116316001","https://openalex.org/W2117997600","https://openalex.org/W2121435899","https://openalex.org/W2124379907","https://openalex.org/W2125712079","https://openalex.org/W2129329682","https://openalex.org/W2136544838","https://openalex.org/W2144804812","https://openalex.org/W2144900797","https://openalex.org/W2146685010","https://openalex.org/W2149327368","https://openalex.org/W2152436330","https://openalex.org/W2152803722","https://openalex.org/W2153800732","https://openalex.org/W2156985047","https://openalex.org/W2158388102","https://openalex.org/W2162245945","https://openalex.org/W2166648541","https://openalex.org/W2395264574","https://openalex.org/W2489487449","https://openalex.org/W2598654328","https://openalex.org/W3003556534","https://openalex.org/W3211848854","https://openalex.org/W4391418904"],"related_works":["https://openalex.org/W2167662847","https://openalex.org/W49707343","https://openalex.org/W1579079730","https://openalex.org/W2250821182","https://openalex.org/W2136332941","https://openalex.org/W1585034923","https://openalex.org/W626175318","https://openalex.org/W2294868251","https://openalex.org/W2106465651","https://openalex.org/W2111422106"],"abstract_inverted_index":{"Japanese":[0,85,101],"sentences":[1,115],"have":[2],"completely":[3],"different":[4],"word":[5,25],"orders":[6],"from":[7],"corresponding":[8],"English":[9,81,114],"sentences.":[10],"Typical":[11],"phrase-based":[12],"statistical":[13],"machine":[14],"translation":[15,51],"(SMT)":[16],"systems":[17,58],"such":[18],"as":[19],"Moses":[20],"search":[21],"for":[22],"the":[23,48,96,144,155,177],"best":[24,178],"permutation":[26],"within":[27,65],"a":[28,39,66,103,117],"given":[29],"distance":[30,41],"limit":[31,42],"(distortion":[32],"limit).":[33],"For":[34],"English-to-Japanese":[35,158],"translation,":[36],"we":[37,109,133,161],"need":[38],"large":[40],"to":[43,61,142],"obtain":[44],"acceptable":[45,63],"translations,":[46],"and":[47,107,151],"number":[49],"of":[50,89,113,127,157,180],"candidates":[52],"is":[53,93,102],"extremely":[54],"large.":[55],"Therefore,":[56],"SMT":[57],"often":[59],"fail":[60],"find":[62],"translations":[64],"limited":[67],"time.":[68],"To":[69],"solve":[70],"this":[71,128],"problem,":[72],"some":[73],"researchers":[74],"use":[75],"rule-based":[76],"preprocessing":[77],"approaches,":[78],"which":[79],"reorder":[80],"words":[82],"just":[83],"like":[84],"by":[86,116],"using":[87],"dozens":[88],"rules.":[90],"Our":[91],"idea":[92],"based":[94],"on":[95],"following":[97],"two":[98],"observations:":[99],"(1)":[100],"typical":[104],"head-final":[105],"language,":[106],"(2)":[108],"can":[110,152],"detect":[111],"heads":[112,166],"head-driven":[118],"phrase":[119],"structure":[120],"grammar":[121],"(HPSG)":[122],"parser.":[123],"The":[124,173],"main":[125],"contributions":[126],"article":[129],"are":[130],"twofold:":[131],"First,":[132],"demonstrate":[134],"how":[135],"off-the-shelf,":[136],"state-of-the-art":[137],"HPSG":[138],"parser":[139],"enables":[140],"us":[141],"write":[143],"reordering":[145],"rules":[146],"in":[147],"an":[148],"abstract":[149],"level":[150],"easily":[153],"improve":[154],"quality":[156],"translation.":[159],"Second,":[160],"also":[162],"show":[163],"that":[164],"syntactic":[165],"achieve":[167],"better":[168],"results":[169],"than":[170],"semantic":[171],"heads.":[172],"proposed":[174],"method":[175],"outperforms":[176],"system":[179],"NTCIR-7":[181],"PATMT":[182],"EJ":[183],"task.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
