{“id”:“https://openalex.org/W4389524378“,”doi“:”https://doi.org/10.18653/v1/2023.wmt-1.40“,”title“:”ChatGPT MT:竞争高(但非低)资源语言“,”display_name“:”ChatGPT MT:竞争高(而非低)源语言“,“publication_year”:2023,“publiation_date”:“2023-01-01”,“ids”:{“openalex”:“https://openalex.org/W4389524378“,”doi“:”https://doi.org/10.18653/v1/2023.wmt-1.40“},”language“:”en“,”primary_location“:{”is_oa“:true,”landing_page_url“:”https://doi.org/10.18653/v1/2023.wmt-1.40,“pdf_url”:https://aclantology.org/2023.wmt-1.40.pdf“,”source“:null,”license“:”cc-by“,”licence_id“:”https://openalex.org/licenses/cc-by(https://openalex.org/licenses/cc-by)“,”version“:”publishedVersion“,”is_accepted“:true,”is_published“:true},”type“:”article“,”type_crossref“:”proceedings article“,”indexed_in“:[”crossref“],”open_access“:{”is_oa“:true,”oa_status“:”bronze“,”oa_url“:”https://aclantology.org/2023.wmt-1.40.pdf“,”any_repository_has_fulltext“:true},”authorships“:[{”author_position“:”第一“,”作者“:{”id“:”https://openalex.org/A5074198234“,”display_name“:”Nathaniel D.Robinson“,”orcid“:null},”institutions“:[],”countries“:[],”is_corresponding“:false,”raw_author_name“:”Nathaniel Robinson”,“raw_affiliation_strings”:[]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5045030523“,”display_name“:”Perez Ogayo“,”orcid“:null},”institutions“:[],”countries“:[],”is_corresponding“:false,”raw_author_name“:”Perez-Ogayou“,“raw_affiliation_strings”:[]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5042037634“,”display_name“:”David R.Mortensen“,”orcid“:null},”institutions“:[],”countries“:[],”is_corresponding“:false,”raw_author_name“:”David R.Mortenssen“,”raw _affiliation_strings“:]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5068811427“,”display_name“:”Graham Neubig“,”orcid“:”https://orcid.org/0000-0002-2072-3789“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:”Graham Neubig“,”raw关联字符串“:[]}],”countries_distict_count“:0,”机构_distiction_count“:0.,”corresponding_author_ids“:[],“correspounding_institution_ids”:[]“”cited_by_percentile_year“:{“min”:79,“max”:88},“biblio”:{”volume“:null,”issue“:nul,”first_page“:null',”last_page“:null},”is_retracted“:false,”is_paratext“:false,”primary_topic“:”{“id”:“https://openalex.org/T10028“,”display_name“:”自然语言处理“,”score“:0.9696,”subfield“:{”id“:”https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T10028“,”display_name“:”自然语言处理“,”score“:0.9696,”subfield“:{”id“:”https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T10181“,”display_name“:”统计机器翻译与自然语言处理“,”score“:0.937,”subfield“:{”id“:”https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T13629“,”display_name“:”自动文本简化和可读性评估“,”score“:0.934,”subfield“:{”id“:”https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/language-modeling“,”display_name“:”语言建模“,”score“:0.587403},{”id“:”https://openalex.org/keywords/neural机器翻译“,”display_name“:”神经机器翻译“,”score“:0.574385},{”id“:”https://openalex.org/keywords/machine翻译“,”display_name“:”机器翻译“,”score“:0.573965},{”id“:”https://openalex.org/keywords/多语言-神经-机器翻译“,”display_name“:”多语言神经机器翻译“,”score“:0.560328},{”id“:”https://openalex.org/keywords/统计语言模型“,”display_name“:”统计语言模型“,”score“:0.539807}],”concepts“:[{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.6875478},{”id“:”https://openalex.org/C206345919,“wikidata”:https://www.wikidata.org/wiki/Q20380951“,”display_name“:”Resource(消歧)“,”level“:2,”score“:0.5882767},{”id“:”https://openalex.org/C185798385,“wikidata”:https://www.wikidata.org/wiki/Q1161707“,”display_name“:”基准(测量)“,”level“:2,”score“:0.5471666},{”id“:”https://openalex.org/C2780502288,“wikidata”:https://www.wikidata.org/wiki/Q28838156“,”display_name“:”Expansive“,”level“:3,”score“:0.5118522},{”id“:”https://openalex.org/C177264268,“wikidata”:https://www.wikidata.org/wiki/Q1514741“,”display_name“:”Set(abstract data type)“,”level“:2,”score“:0.48382655},{”id“:”https://openalex.org/C2780623907,“wikidata”:https://www.wikidata.org/wiki/Q106394435“,”display_name“:”Disadvantaged“,”level“:2,”score“:0.47563007},{”id“:”https://openalex.org/C204321447“,”wikidata“:”https://www.wikidata.org/wiki/Q30642“,”display_name“:”自然语言处理“,”level“:1,”score“:0.4452577},{”id“:”https://openalex.org/C11164408,“wikidata”:https://www.wikidata.org/wiki/Q18657800“,”display_name“:”第二代编程语言“,”level“:4,”score“:0.43084434},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.41080266},{”id“:”https://openalex.org/C41895202,“wikidata”:https://www.wikidata.org/wiki/Q8162“,”display_name“:”语言学“,”level“:1,”score“:0.40038642},{”id“:”https://openalex.org/C199360897,“wikidata”:https://www.wikidata.org/wiki/Q9143“,”display_name“:”编程语言“,”level“:1,”score“:0.18595266},{”id“:”https://openalex.org/C17744445,“wikidata”:https://www.wikidata.org/wiki/Q36442网址“,”display_name“:”政治学“,”level“:0,”score“:0.15436593},{”id“:”https://openalex.org/C199305712,“wikidata”:https://www.wikidata.org/wiki/Q3205914“,”display_name“:”第五代编程语言“,”level“:3,”score“:0.13375685},{”id“:”https://openalex.org/C205649164,“wikidata”:https://www.wikidata.org/wiki/Q1071“,”display_name“:”地理“,”级别“:0,”分数“:0.122372985},{”id“:”https://openalex.org/C31258907,“wikidata”:https://www.wikidata.org/wiki/Q1301371“,”display_name“:”计算机网络“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C138885662,“wikidata”:https://www.wikidata.org/wiki/Q5891“,”display_name“:”哲学“,”等级“:0,”分数“:0.0},{”id“:”https://openalex.org/C30407753,“wikidata”:https://www.wikidata.org/wiki/Q186191“,”display_name“:”抗压强度“,”level“:2,”score“:0.0},{”id“:”https://openalex.org/C192562407“,”wikidata“:”https://www.wikidata.org/wiki/Q228736“,”display_name“:”材料科学“,”level“:0,”score“:0.0},{”id“:”https://openalex.org/C13280743,“wikidata”:https://www.wikidata.org/wiki/Q131089“,”display_name“:”大地测量学“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C34165917“,”wikidata“:”https://www.wikidata.org/wiki/Q188267“,”display_name“:”编程范例“,”level“:2,”score“:0.0},{”id“:”https://openalex.org/C199539241,“wikidata”:https://www.wikidata.org/wiki/Q7748“,”display_name“:”Law“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C159985019,“wikidata”:https://www.wikidata.org/wiki/Q181790“,”display_name“:”复合材质“,”level“:1,”score“:0.0}],”mesh“:[],”locations_count“:1.”locations“:[{”is_oa“:true,”landing_page_url“:”https://doi.org/10.18653/v1/2023.wmt-1.40,“pdf_url”:https://aclcollectory.org/2023.wmt-1.40.pdf“,”source“:null,”license“:”cc-by“,”licence_id“:”https://openalex.org/licenses/cc-by(https://openalex.org/licenses/cc-by)“,”version“:”publishedVersion“,”is_accepted“:true,”is_published“:true}],”best_oa_location“:{”is_oa“:true,”landing_page_url“:”https://doi.org/10.18653/v1/2023.wmt-1.40,“pdf_url”:https://aclantology.org/2023.wmt-1.40.pdf“,”source“:null,”license“:”cc-by“,”licence_id“:”https://openalex.org/licenses/cc-by(https://openalex.org/licenses/cc-by)“,”version“:”publishedVersion“,”is_accepted“:true,”is_published“:true},”sustainable_development_goals“:[],”grants“:[],”datasets“:],”versions“:[https://openalex.org/W4366769580","https://openalex.org/W2350227609","https://openalex.org/W3140304255","https://openalex.org/W1546741102","https://openalex.org/W2353368610","https://openalex.org/W2002810666","https://openalex.org/W2385913382","https://openalex.org/W2388183047","https://openalex.org/W3005664739","https://openalex.org/W2041747640“],”ngrams_url“:”https://api.openalex.org/works/W4389524378/ngrams网站“,”“abstract_inverted_index”:{“Large”:[0],“language”:[1,11],“models”:[2,99],“(LLM)”:[3],“implicate”:[4],“learn”:[5],“to”:[6,61146],“perform”:[7],“a”:[8,28132],“range”:[9],“of”:[10,21,56,83124],“tasks,”:[12],“include”:[13],“machine”:[14],“translation”:[15],“(MT).”:[16],“上一篇”:[17],“研究”:[18],“探索”:[19],“方面”:[20],“LLMs\u2019“:[22],”MT“:[23,37,88104121],”能力。“:[24],”“然而,”:[25],“there”:[26],“exist”:[27],“wide”:[29],“variety”:[30],“languages”:[32,601117125],“for”:[33,54,70,79107115122156],“which”:[34],“recent”:[35],“LLM”:[36],“performance”:[38106],“has”:[3]9],”“never”:[40],“before”:[41],“be”:[42],“evaluated”。“:[43],“Without”:[44],“published”:[45],“experimental”:[46,77],“evidence”:[47,78],“on”:[48],“the”:[49,57,75,92137],“matter”:[50],“it”:[51],“is”:[52136153],“haround”:[53],“speakers”:[55],“world\u2019s”:[58],“diversity”:[59],“know”:[62],“how”:[63],“and”:[64149158],“是否”:[65],“他们”:[66],“可以”:[67],“使用”:[68],“LLM”:[69],“其”:[71],“语言。“:[72160],“We”:[73],“present”:[74],“first”:[76],“an”:[80],“expansional”:[81],“set”:[82],“204”:+84],“languages,”:[85],“along”:[06],“with”:/87],“cost”:+89],“analysis”:[90],“using”:[91],“FLORS-200”:[93],“benchmark.”:/94],《Trends》:[95],“releal”:[96],“that”:[97131151],“GPT”:[98],“approach”:[100],“or”:[101],“except”:[102],“traditional”:[103120]模型“:[105],”some“:[108],”high-resource“:[109],”(HRL)“:[111],”but“:[112],”consistently“:[113],”lag“:[114],”low-resource:[116],“(LRL),”:[118],“under-performance”:[119],“84.1%”:[123],“we”:[126],“covered”。“:[127],“我们的”:[128],“分析”:[129],“揭示”:[130],“语言\u2019s”:[133],“资源”:[134],“级别”:[135],“大多数”:[138],“重要”:[139],“特征”:[140],“in”:[141],“确定”:[142],“ChatGPT\u2019 s”:%143],“相对”:[144],“能力”:[145],“翻译”:[147],“it”:[148],“建议”“:[150],”ChatGPT“:[152],”特别“:[154],”弱势“:[155],”LRL“:[157],“非洲”:[159]},“cited_by_api_url”:“https://api.openalex.org/works?filter=引用:W4389524378“,”counts_by_year“:[{”年“:2024,”引用_by_count“:1}],”更新日期“:”2024-04-29T07:18:28.598112“,”创建日期“:“2023-12-11”}