{"id":"https://openalex.org/W2566764047","doi":"https://doi.org/10.18653/v1/d16-1251","title":"Measuring the behavioral impact of machine translation quality improvements with A/B testing","display_name":"Measuring the behavioral impact of machine translation quality improvements with A/B testing","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2566764047","doi":"https://doi.org/10.18653/v1/d16-1251","mag":"2566764047"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d16-1251","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1251","pdf_url":"https://www.aclweb.org/anthology/D16-1251.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 2016 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D16-1251.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033945339","display_name":"Ben Russell","orcid":"https://orcid.org/0000-0001-7378-1491"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ben Russell","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5004922318","display_name":"Duncan Gillespie","orcid":"https://orcid.org/0000-0003-3450-5747"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duncan Gillespie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1928,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52081443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2295","last_page":"2299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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":0.9957000017166138,"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":0.7736132740974426},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.7044824957847595},{"id":"https://openalex.org/keywords/evaluation-of-machine-translation","display_name":"Evaluation of machine translation","score":0.6592922806739807},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6532468199729919},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5346891283988953},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.5316909551620483},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5146268606185913},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5022656917572021},{"id":"https://openalex.org/keywords/listing","display_name":"Listing (finance)","score":0.4811197817325592},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.45535826683044434},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4114339351654053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4087669253349304},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3934398889541626},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2618994414806366},{"id":"https://openalex.org/keywords/machine-translation-software-usability","display_name":"Machine translation software usability","score":0.20622646808624268},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16407009959220886},{"id":"https://openalex.org/keywords/example-based-machine-translation","display_name":"Example-based machine translation","score":0.11619028449058533},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08135780692100525},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07578065991401672}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7736132740974426},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7044824957847595},{"id":"https://openalex.org/C135784402","wikidata":"https://www.wikidata.org/wiki/Q6958279","display_name":"Evaluation of machine translation","level":5,"score":0.6592922806739807},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6532468199729919},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5346891283988953},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.5316909551620483},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5146268606185913},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5022656917572021},{"id":"https://openalex.org/C2779820595","wikidata":"https://www.wikidata.org/wiki/Q798505","display_name":"Listing (finance)","level":2,"score":0.4811197817325592},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.45535826683044434},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4114339351654053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4087669253349304},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3934398889541626},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2618994414806366},{"id":"https://openalex.org/C148526163","wikidata":"https://www.wikidata.org/wiki/Q6723733","display_name":"Machine translation software usability","level":4,"score":0.20622646808624268},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16407009959220886},{"id":"https://openalex.org/C24687705","wikidata":"https://www.wikidata.org/wiki/Q3753284","display_name":"Example-based machine translation","level":3,"score":0.11619028449058533},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08135780692100525},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07578065991401672},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d16-1251","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1251","pdf_url":"https://www.aclweb.org/anthology/D16-1251.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 2016 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d16-1251","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1251","pdf_url":"https://www.aclweb.org/anthology/D16-1251.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 2016 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2566764047.pdf","grobid_xml":"https://content.openalex.org/works/W2566764047.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W95780973","https://openalex.org/W222053410","https://openalex.org/W1489181569","https://openalex.org/W1489525520","https://openalex.org/W1540222736","https://openalex.org/W2101105183","https://openalex.org/W2107695330","https://openalex.org/W2117652747","https://openalex.org/W2143539737","https://openalex.org/W2165691108","https://openalex.org/W2168929382","https://openalex.org/W2950921009"],"related_works":["https://openalex.org/W3151736118","https://openalex.org/W3097971125","https://openalex.org/W2962780935","https://openalex.org/W4387490002","https://openalex.org/W2026303297","https://openalex.org/W2532807140","https://openalex.org/W3196981096","https://openalex.org/W2395826315","https://openalex.org/W2169279899","https://openalex.org/W2883671469"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,31,83],"discuss":[4,25],"a":[5,13,20,92],"process":[6],"for":[7],"quantifying":[8],"the":[9,46,66],"behavioral":[10],"impact":[11],"of":[12,49,68],"domaincustomized":[14],"machine":[15,27],"translation":[16,28],"system":[17],"deployed":[18],"on":[19,72],"large-scale":[21],"e-commerce":[22],"platform.":[23],"We":[24,44,63],"several":[26],"systems":[29,51],"that":[30],"trained":[32],"using":[33,75],"aligned":[34],"text":[35],"from":[36],"product":[37],"listing":[38],"descriptions":[39],"written":[40],"in":[41,87,95],"multiple":[42],"languages.":[43],"document":[45],"quality":[47,56,61,70],"improvements":[48,71],"these":[50,69],"as":[52],"measured":[53],"through":[54],"automated":[55,77],"measures":[57],"and":[58],"crowdsourced":[59],"human":[60],"assessments.":[62],"then":[64],"measure":[65],"effect":[67],"user":[73],"behavior":[74],"an":[76,85],"A/B":[78],"testing":[79,82],"framework.":[80],"Through":[81],"observed":[84],"increase":[86,94],"key":[88],"ecommerce":[89],"metrics,":[90],"including":[91],"significant":[93],"purchases.":[96]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}