{"id":"https://openalex.org/W4220788331","doi":"https://doi.org/10.1371/journal.pone.0265633","title":"Entropy-based discrimination between translated Chinese and original Chinese using data mining techniques","display_name":"Entropy-based discrimination between translated Chinese and original Chinese using data mining techniques","publication_year":2022,"publication_date":"2022-03-24","ids":{"openalex":"https://openalex.org/W4220788331","doi":"https://doi.org/10.1371/journal.pone.0265633","pmid":"https://pubmed.ncbi.nlm.nih.gov/35324927","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/8947138"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pone.0265633","doi":"https://doi.org/10.1371/journal.pone.0265633","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pone.0265633","pdf_url":null,"source":{"id":"https://openalex.org/S202381698","display_name":"PLoS ONE","issn_l":"1932-6203","issn":["1932-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","erih-plus","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS ONE","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1371/journal.pone.0265633","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076394591","display_name":"Kanglong Liu","orcid":"https://orcid.org/0000-0003-3962-2563","observed_orcids":["https://orcid.org/0000-0003-3962-2563","https://orcid.org/0009-0001-3139-0211"]},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Kanglong Liu","raw_affiliation_strings":["Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-3962-2563","affiliations":[{"raw_affiliation_string":"Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090953965","display_name":"Rongguang Ye","orcid":"https://orcid.org/0000-0002-7759-1254","observed_orcids":["https://orcid.org/0000-0002-7759-1254"]},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]},{"id":"https://openalex.org/I93477617","display_name":"Huizhou University","ror":"https://ror.org/03q3s7962","country_code":"CN","type":"education","lineage":["https://openalex.org/I93477617"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongguang Ye","raw_affiliation_strings":["Department of Mathematics and Statistics, Huizhou University, Guangdong, China","School of Applied Mathematics, Guangdong University of Technology, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Huizhou University, Guangdong, China","institution_ids":["https://openalex.org/I93477617"]},{"raw_affiliation_string":"School of Applied Mathematics, Guangdong University of Technology, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088427586","display_name":"Zhongzhu Liu","orcid":"https://orcid.org/0000-0002-1035-0296","observed_orcids":["https://orcid.org/0000-0002-1035-0296"]},"institutions":[{"id":"https://openalex.org/I93477617","display_name":"Huizhou University","ror":"https://ror.org/03q3s7962","country_code":"CN","type":"education","lineage":["https://openalex.org/I93477617"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Zhongzhu","raw_affiliation_strings":["Department of Mathematics and Statistics, Huizhou University, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-1035-0296","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Huizhou University, Guangdong, China","institution_ids":["https://openalex.org/I93477617"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070256623","display_name":"Rongye Ye","orcid":"https://orcid.org/0009-0001-4456-6319","observed_orcids":["https://orcid.org/0009-0001-4456-6319","https://orcid.org/0009-0002-5528-965X"]},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]},{"id":"https://openalex.org/I93477617","display_name":"Huizhou University","ror":"https://ror.org/03q3s7962","country_code":"CN","type":"education","lineage":["https://openalex.org/I93477617"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongye Ye","raw_affiliation_strings":["Department of Mathematics and Statistics, Huizhou University, Guangdong, China","School of Applied Mathematics, Guangdong University of Technology, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Huizhou University, Guangdong, China","institution_ids":["https://openalex.org/I93477617"]},{"raw_affiliation_string":"School of Applied Mathematics, Guangdong University of Technology, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076394591"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":{"value":1805,"currency":"USD","value_usd":1805},"apc_paid":{"value":1805,"currency":"USD","value_usd":1805},"fwci":1.6449,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.84665911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"17","issue":"3","first_page":"e0265633","last_page":"e0265633"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.6395999789237976,"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":0.6395999789237976,"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/T10759","display_name":"Translation Studies and Practices","score":0.2793000042438507,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.06120000034570694,"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/translationese","display_name":"translationese","score":0.8339999914169312},{"id":"https://openalex.org/keywords/chinese-translation","display_name":"Chinese translation","score":0.6510000228881836},{"id":"https://openalex.org/keywords/entropy-features","display_name":"entropy features","score":0.6959999799728394},{"id":"https://openalex.org/keywords/shannon-entropy","display_name":"Shannon entropy","score":0.8230000138282776},{"id":"https://openalex.org/keywords/part-of-speech-n-grams","display_name":"part-of-speech n-grams","score":0.7360000014305115},{"id":"https://openalex.org/keywords/character-n-grams","display_name":"character n-grams","score":0.7599999904632568},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.7749999761581421},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"linear discriminant analysis","score":0.7279999852180481},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.9890000224113464},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"multilayer perceptron","score":0.9860000014305115},{"id":"https://openalex.org/keywords/text-classification","display_name":"text classification","score":0.46000000834465027}],"concepts":[{"id":"https://openalex.org/C137546455","wikidata":"https://www.wikidata.org/wiki/Q3213474","display_name":"Trigram","level":2,"score":0.9249488711357117},{"id":"https://openalex.org/C108757681","wikidata":"https://www.wikidata.org/wiki/Q2773912","display_name":"Bigram","level":3,"score":0.9199698567390442},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7532362937927246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7125512361526489},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5376800894737244},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5299813747406006},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.49300143122673035},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.4625638425350189},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.45247000455856323},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.4494766592979431},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4196131229400635},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3557657301425934},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34171080589294434},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32431817054748535},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.18316519260406494},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007802","descriptor_name":"Language","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014175","descriptor_name":"Translating","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":9,"locations":[{"id":"doi:10.1371/journal.pone.0265633","doi":"https://doi.org/10.1371/journal.pone.0265633","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pone.0265633","pdf_url":null,"source":{"id":"https://openalex.org/S202381698","display_name":"PLoS ONE","issn_l":"1932-6203","issn":["1932-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","erih-plus","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS ONE","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8947138","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8947138","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS One","raw_type":"Text"},{"id":"pmid:35324927","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35324927","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PloS one","raw_type":"Journal Article"},{"id":"pmh:doi:10.17605/osf.io/asdbh","doi":null,"is_oa":false,"landing_page_url":"https://osf.io/asdbh","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:RePEc:plo:pone00:0265633","doi":null,"is_oa":false,"landing_page_url":"https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0265633","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:ee22820edc244b39a8bcbca3ba0a5090","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/ee22820edc244b39a8bcbca3ba0a5090","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS ONE, Vol 17, Iss 3, p e0265633 (2022)","raw_type":"article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/94267","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/94267","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal/Magazine Article"},{"id":"pmh:oai:share.osf.io:E0038-4BF-873","doi":null,"is_oa":false,"landing_page_url":"http://api.osf.io/v2/nodes/asdbh/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401127","display_name":"OSF Preprints (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"project"},{"id":"pmh:oai:share.osf.io:E0122-505-B96","doi":null,"is_oa":false,"landing_page_url":"http://osf.io/asdbh/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401127","display_name":"OSF Preprints (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"project"}],"best_oa_location":{"id":"doi:10.1371/journal.pone.0265633","doi":"https://doi.org/10.1371/journal.pone.0265633","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pone.0265633","pdf_url":null,"source":{"id":"https://openalex.org/S202381698","display_name":"PLoS ONE","issn_l":"1932-6203","issn":["1932-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","erih-plus","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS ONE","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W6918093","https://openalex.org/W49707343","https://openalex.org/W50954619","https://openalex.org/W82340936","https://openalex.org/W570535444","https://openalex.org/W614951130","https://openalex.org/W1211014924","https://openalex.org/W1532868709","https://openalex.org/W1536870197","https://openalex.org/W1553669113","https://openalex.org/W1564743226","https://openalex.org/W1587508994","https://openalex.org/W1779279021","https://openalex.org/W1939136393","https://openalex.org/W1967107756","https://openalex.org/W1982008367","https://openalex.org/W1993746606","https://openalex.org/W2006832571","https://openalex.org/W2015099947","https://openalex.org/W2044268323","https://openalex.org/W2055304549","https://openalex.org/W2074829436","https://openalex.org/W2079145130","https://openalex.org/W2090467586","https://openalex.org/W2095473347","https://openalex.org/W2096047506","https://openalex.org/W2101440232","https://openalex.org/W2104241170","https://openalex.org/W2121647436","https://openalex.org/W2124993430","https://openalex.org/W2132966115","https://openalex.org/W2144773418","https://openalex.org/W2146113428","https://openalex.org/W2146993988","https://openalex.org/W2148365102","https://openalex.org/W2148959489","https://openalex.org/W2164628107","https://openalex.org/W2173893874","https://openalex.org/W2217885534","https://openalex.org/W2258378549","https://openalex.org/W2278972578","https://openalex.org/W2309187976","https://openalex.org/W2323102741","https://openalex.org/W2475662606","https://openalex.org/W2480674527","https://openalex.org/W2484130635","https://openalex.org/W2487858956","https://openalex.org/W2489922794","https://openalex.org/W2494194344","https://openalex.org/W2507666215","https://openalex.org/W2549603914","https://openalex.org/W2572153410","https://openalex.org/W2611598898","https://openalex.org/W2623617865","https://openalex.org/W2760347205","https://openalex.org/W2792464222","https://openalex.org/W2900926741","https://openalex.org/W2921078800","https://openalex.org/W2921321912","https://openalex.org/W2927032858","https://openalex.org/W2954684707","https://openalex.org/W2963160607","https://openalex.org/W3015046447","https://openalex.org/W3035314682","https://openalex.org/W3037865763","https://openalex.org/W3153999212","https://openalex.org/W3174604867","https://openalex.org/W3196290596","https://openalex.org/W3196602046","https://openalex.org/W4224106798","https://openalex.org/W4234619467","https://openalex.org/W4239523853","https://openalex.org/W4245123030","https://openalex.org/W6721867082"],"related_works":["https://openalex.org/W4399387119","https://openalex.org/W4404749668","https://openalex.org/W3015046447","https://openalex.org/W2148959489","https://openalex.org/W2963160607","https://openalex.org/W7043421711","https://openalex.org/W3183460676","https://openalex.org/W7100925663","https://openalex.org/W2371827195","https://openalex.org/W1553669113"],"abstract_inverted_index":{"The":[0],"present":[1],"research":[2,135],"reports":[3],"on":[4,20,92,171],"the":[5,102,123,172,176],"use":[6],"of":[7,111,117,141,178],"data":[8,57,65],"mining":[9,58,66],"techniques":[10,67,148],"for":[11,56,154,168],"differentiating":[12],"between":[13],"translated":[14,86],"and":[15,35,43,59,80,105,113],"non-translated":[16],"original":[17,89,132],"Chinese":[18,50,87,90],"based":[19,91],"monolingual":[21],"comparable":[22,51],"corpora.":[23],"We":[24,61],"operationalized":[25],"seven":[26,94],"entropy-based":[27],"metrics":[28],"including":[29,68],"character,":[30],"wordform":[31,33,36],"unigram,":[32,40],"bigram":[34,42],"trigram,":[37],"POS":[38,41,44],"(Part-of-speech)":[39],"trigram":[45],"entropy":[46,143],"from":[47,88,131],"two":[48],"balanced":[49],"corpora":[52],"(translated":[53],"vs":[54],"non-translated)":[55],"analysis.":[60],"then":[62],"applied":[63],"four":[64],"Support":[69],"Vector":[70],"Machines":[71],"(SVMs),":[72],"Linear":[73],"discriminant":[74],"analysis":[75],"(LDA),":[76],"Random":[77],"Forest":[78],"(RF)":[79],"Multilayer":[81],"Perceptron":[82],"(MLP)":[83],"to":[84],"distinguish":[85],"these":[93],"features.":[95],"Our":[96,119,134],"results":[97,120],"show":[98],"that":[99,125,137],"SVMs":[100],"is":[101,128],"most":[103],"robust":[104],"effective":[106],"classifier,":[107],"yielding":[108],"an":[109,114],"AUC":[110],"90.5%":[112],"accuracy":[115],"rate":[116],"84.3%.":[118],"have":[121],"affirmed":[122],"hypothesis":[124],"translational":[126],"language":[127],"categorically":[129],"different":[130],"language.":[133],"demonstrates":[136],"combining":[138],"information-theoretic":[139],"indicator":[140],"Shannon's":[142],"together":[144],"with":[145],"machine":[146],"learning":[147],"can":[149],"provide":[150],"a":[151,158],"novel":[152],"approach":[153],"studying":[155],"translation":[156,179],"as":[157],"unique":[159],"communicative":[160],"activity.":[161],"This":[162],"study":[163],"has":[164],"yielded":[165],"new":[166],"insights":[167],"corpus-based":[169],"studies":[170],"translationese":[173],"phenomenon":[174],"in":[175],"field":[177],"studies.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2022-04-03T00:00:00"}