{"id":"https://openalex.org/W2963259877","doi":"https://doi.org/10.1145/3321408.3326670","title":"Implementation of Tibetan-Chinese translation platform based on LSTM algorithm","display_name":"Implementation of Tibetan-Chinese translation platform based on LSTM algorithm","publication_year":2019,"publication_date":"2019-05-17","ids":{"openalex":"https://openalex.org/W2963259877","doi":"https://doi.org/10.1145/3321408.3326670","mag":"2963259877"},"language":"en","primary_location":{"id":"doi:10.1145/3321408.3326670","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3321408.3326670","pdf_url":null,"source":{"id":"https://openalex.org/S4306523950","display_name":"Proceedings of the ACM Turing Celebration Conference - China","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Turing Celebration Conference - China","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101434816","display_name":"Xiaofeng Chen","orcid":"https://orcid.org/0000-0001-8572-7310"},"institutions":[{"id":"https://openalex.org/I6645349","display_name":"Southwest Minzu University","ror":"https://ror.org/04gaexw88","country_code":"CN","type":"education","lineage":["https://openalex.org/I6645349"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"XiaoFeng Chen","raw_affiliation_strings":["Southwest Minzu University, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Minzu University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I6645349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100653158","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0002-9274-2698"},"institutions":[{"id":"https://openalex.org/I6645349","display_name":"Southwest Minzu University","ror":"https://ror.org/04gaexw88","country_code":"CN","type":"education","lineage":["https://openalex.org/I6645349"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Southwest Minzu University, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Minzu University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I6645349"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101670319","display_name":"Wei Xiang","orcid":"https://orcid.org/0000-0002-4297-7034"},"institutions":[{"id":"https://openalex.org/I6645349","display_name":"Southwest Minzu University","ror":"https://ror.org/04gaexw88","country_code":"CN","type":"education","lineage":["https://openalex.org/I6645349"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xiang","raw_affiliation_strings":["Southwest Minzu University, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Minzu University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I6645349"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I6645349"],"apc_list":null,"apc_paid":null,"fwci":0.1093,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.38047545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9954000115394592,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.944100022315979,"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":0.7156699299812317},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6260127425193787},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.511875569820404},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48428553342819214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4419851005077362},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.429505318403244}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7156699299812317},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6260127425193787},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.511875569820404},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48428553342819214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4419851005077362},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.429505318403244},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/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:10.1145/3321408.3326670","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3321408.3326670","pdf_url":null,"source":{"id":"https://openalex.org/S4306523950","display_name":"Proceedings of the ACM Turing Celebration Conference - China","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Turing Celebration Conference - China","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1843946026","https://openalex.org/W2121029939","https://openalex.org/W2964199361"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2775554247","https://openalex.org/W2883671469","https://openalex.org/W2110168585","https://openalex.org/W3107474891","https://openalex.org/W2250213760","https://openalex.org/W4386247111","https://openalex.org/W4327642362","https://openalex.org/W2587014613","https://openalex.org/W3204019825"],"abstract_inverted_index":{"With":[0],"the":[1,12,38,46,58,67,84,99,103,110,117],"rapid":[2],"economic":[3],"development":[4,40],"and":[5,27,60,93,119],"increasingly":[6],"frequent":[7],"language":[8,43],"exchanges":[9],"in":[10,32],"Tibet,":[11],"traditional":[13],"statistical":[14],"machine":[15,63],"translation":[16,34,64,126],"methods":[17],"are":[18],"faced":[19],"with":[20,37],"problems":[21],"such":[22],"as":[23],"lack":[24],"of":[25,29,41,70,87],"data":[26],"over-fitting":[28],"training,":[30],"resulting":[31],"poor":[33],"quality.":[35],"Combined":[36],"current":[39],"natural":[42],"processing":[44],"(NLP),":[45],"LSTM":[47,104],"algorithm":[48,86],"based":[49],"on":[50],"Google's":[51],"TensorFlow":[52],"framework":[53],"is":[54,75,106],"proposed":[55],"to":[56,108],"realize":[57],"Tibetan":[59],"Chinese":[61],"neural":[62,90],"method.":[65],"In":[66,98],"preprocessing":[68],"stage":[69],"corpus,":[71],"word":[72],"segmentation":[73],"module":[74],"constructed":[76],"for":[77],"tibetan-chinese":[78],"bilingual":[79],"parallel":[80],"corpus":[81],"by":[82],"using":[83],"combination":[85],"gated":[88],"circulatory":[89],"network":[91],"(GRU)":[92],"conditional":[94],"random":[95],"field":[96],"(CRF).":[97],"model":[100],"construction":[101],"stage,":[102],"method":[105],"used":[107],"construct":[109],"model.":[111],"The":[112],"experimental":[113],"results":[114],"show":[115],"that":[116],"short":[118],"long":[120],"time":[121],"memory":[122],"networks":[123],"have":[124],"good":[125],"effects.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
