{"id":"https://openalex.org/W2168991195","doi":"https://doi.org/10.3115/v1/w14-1005","title":"Using Feature Structures to Improve Verb Translation in English-to-German Statistical MT","display_name":"Using Feature Structures to Improve Verb Translation in English-to-German Statistical MT","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2168991195","doi":"https://doi.org/10.3115/v1/w14-1005","mag":"2168991195"},"language":"en","primary_location":{"id":"doi:10.3115/v1/w14-1005","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-1005","pdf_url":"https://aclanthology.org/W14-1005.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 3rd Workshop on Hybrid Approaches to Machine Translation (HyTra)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/W14-1005.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103361856","display_name":"Philip Williams","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Philip Williams","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5112315093","display_name":"Philipp Koehn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Philipp Koehn","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103361856"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4229,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76473564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"29"},"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":0.9995999932289124,"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/T12031","display_name":"Speech and dialogue systems","score":0.9886999726295471,"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":0.7685868740081787},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6937429308891296},{"id":"https://openalex.org/keywords/german","display_name":"German","score":0.6591694951057434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6562644243240356},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.5884972810745239},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5654639601707458},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.5496811866760254},{"id":"https://openalex.org/keywords/verb","display_name":"Verb","score":0.5048149228096008},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5039812922477722},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4911639392375946},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.23686739802360535},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1108793318271637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7685868740081787},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6937429308891296},{"id":"https://openalex.org/C154775046","wikidata":"https://www.wikidata.org/wiki/Q188","display_name":"German","level":2,"score":0.6591694951057434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6562644243240356},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.5884972810745239},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5654639601707458},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.5496811866760254},{"id":"https://openalex.org/C2776397901","wikidata":"https://www.wikidata.org/wiki/Q24905","display_name":"Verb","level":2,"score":0.5048149228096008},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5039812922477722},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4911639392375946},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.23686739802360535},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1108793318271637},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3115/v1/w14-1005","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-1005","pdf_url":"https://aclanthology.org/W14-1005.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 3rd Workshop on Hybrid Approaches to Machine Translation (HyTra)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.671.5762","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.671.5762","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/W/W14/W14-1005.pdf","raw_type":"text"},{"id":"pmh:oai:pure.ed.ac.uk:ec_fundedresources/54feb199-e916-403c-bc46-7146eda0c70f","is_oa":true,"landing_page_url":"http://aclweb.org/anthology/W14-1005","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:pure.ed.ac.uk:openaire/54feb199-e916-403c-bc46-7146eda0c70f","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/54feb199-e916-403c-bc46-7146eda0c70f","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Williams, P & Koehn, P 2014, Using Feature Structures to Improve Verb Translation in English-to-German Statistical MT. in Proceedings of the 3rd Workshop on Hybrid Approaches to Machine Translation (HyTra). pp. 21-29. < http://aclweb.org/anthology/W14-1005 >","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"doi:10.3115/v1/w14-1005","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-1005","pdf_url":"https://aclanthology.org/W14-1005.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 3rd Workshop on Hybrid Approaches to Machine Translation (HyTra)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2168991195.pdf","grobid_xml":"https://content.openalex.org/works/W2168991195.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W71750194","https://openalex.org/W74908938","https://openalex.org/W108437174","https://openalex.org/W1551202288","https://openalex.org/W1793412061","https://openalex.org/W2087735403","https://openalex.org/W2124807415","https://openalex.org/W2136703427","https://openalex.org/W2146574666","https://openalex.org/W2147350240","https://openalex.org/W2154124206","https://openalex.org/W2437005631"],"related_works":["https://openalex.org/W2315527029","https://openalex.org/W2065387230","https://openalex.org/W2323937687","https://openalex.org/W648995381","https://openalex.org/W3033791384","https://openalex.org/W2141885522","https://openalex.org/W2776312268","https://openalex.org/W4246315097","https://openalex.org/W2883671469","https://openalex.org/W2728761353"],"abstract_inverted_index":{"SCFG-based":[0,45],"statistical":[1],"MT":[2],"models":[3],"have":[4],"proven":[5],"effective":[6],"for":[7],"modelling":[8],"syntactic":[9],"aspects":[10],"of":[11,17,21,55,67,76,90],"translation,":[12],"but":[13],"still":[14],"suffer":[15],"prob-lems":[16],"overgeneration.":[18],"The":[19],"production":[20,64,89],"German":[22,56],"verbal":[23,57,62],"complexes":[24,92],"is":[25],"particu-larly":[26],"challenging":[27],"since":[28],"highly":[29],"discontigu-ous":[30],"constructions":[31],"must":[32],"be":[33],"formed":[34],"con-sistently,":[35],"often":[36],"from":[37],"multiple":[38],"independent":[39],"rules.":[40],"We":[41],"extend":[42],"a":[43,50,72],"strong":[44],"string-to-tree":[46],"model":[47,80],"to":[48,86,96,104],"incorporate":[49],"rich":[51],"feature-structure":[52],"based":[53],"representation":[54],"complex":[58,63],"types":[59],"and":[60],"com-pare":[61],"against":[65],"that":[66,82],"the":[68,88,99,105],"reference":[69],"translations,":[70],"finding":[71],"high":[73],"baseline":[74],"rate":[75],"error.":[77],"By":[78],"developing":[79],"features":[81],"use":[83],"source-side":[84],"infor-mation":[85],"influence":[87],"ver-bal":[91],"we":[93],"are":[94],"able":[95],"substantially":[97],"improve":[98],"type":[100],"accuracy":[101],"as":[102],"compared":[103],"reference.":[106],"1":[107]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}