{"id":"https://openalex.org/W2972015511","doi":"https://doi.org/10.1109/ccoms.2019.8821725","title":"Research on Unknown Words Processing of Mongolian-Chinese Neural Machine Translation Based on Semantic Similarity","display_name":"Research on Unknown Words Processing of Mongolian-Chinese Neural Machine Translation Based on Semantic Similarity","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2972015511","doi":"https://doi.org/10.1109/ccoms.2019.8821725","mag":"2972015511"},"language":"en","primary_location":{"id":"doi:10.1109/ccoms.2019.8821725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccoms.2019.8821725","pdf_url":null,"source":{"id":"https://openalex.org/S4306498485","display_name":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","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":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"},"type":"article","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/A5096795316","display_name":"Hasigaowa","orcid":null},"institutions":[{"id":"https://openalex.org/I22046295","display_name":"Inner Mongolia Normal University","ror":"https://ror.org/0497ase59","country_code":"CN","type":"education","lineage":["https://openalex.org/I22046295"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hasigaowa","raw_affiliation_strings":["School of Computer Science and Technology, Inner Mongolia Normal University, Hohhot, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Inner Mongolia Normal University, Hohhot, China","institution_ids":["https://openalex.org/I22046295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031194303","display_name":"Siriguleng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I22046295","display_name":"Inner Mongolia Normal University","ror":"https://ror.org/0497ase59","country_code":"CN","type":"education","lineage":["https://openalex.org/I22046295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siriguleng Wang","raw_affiliation_strings":["School of Computer Science and Technology, Inner Mongolia Normal University, Hohhot, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Inner Mongolia Normal University, Hohhot, China","institution_ids":["https://openalex.org/I22046295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5096795316"],"corresponding_institution_ids":["https://openalex.org/I22046295"],"apc_list":null,"apc_paid":null,"fwci":0.1312,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49511568,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"370","last_page":"374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9988999962806702,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9545000195503235,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/natural-language-processing","display_name":"Natural language processing","score":0.8034625053405762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8018825054168701},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7739040851593018},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.702002227306366},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.6789207458496094},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6533586978912354},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6489492654800415},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6035290956497192},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5327185392379761},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.5140025019645691},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35044917464256287},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.14627444744110107},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08600383996963501}],"concepts":[{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.8034625053405762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8018825054168701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7739040851593018},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.702002227306366},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.6789207458496094},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6533586978912354},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6489492654800415},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6035290956497192},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5327185392379761},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5140025019645691},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35044917464256287},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.14627444744110107},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08600383996963501},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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:10.1109/ccoms.2019.8821725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccoms.2019.8821725","pdf_url":null,"source":{"id":"https://openalex.org/S4306498485","display_name":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","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":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7200000286102295,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1571227886","https://openalex.org/W2100664567","https://openalex.org/W2118434577","https://openalex.org/W2152808281","https://openalex.org/W2156985047","https://openalex.org/W2157331557","https://openalex.org/W2531207078","https://openalex.org/W2962732637","https://openalex.org/W2962944953","https://openalex.org/W2963251942","https://openalex.org/W2963324947","https://openalex.org/W2964296923"],"related_works":["https://openalex.org/W3011059803","https://openalex.org/W3151736118","https://openalex.org/W2349784553","https://openalex.org/W3022596247","https://openalex.org/W2601444686","https://openalex.org/W4362495644","https://openalex.org/W4307058054","https://openalex.org/W4292238148","https://openalex.org/W2883671469","https://openalex.org/W2728761353"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,15,21,34,38,43,52,56,60,63,67,70,76,86,93,97,102,106,110,123,134],"unknown":[4,28,57,77,80,94,111],"words":[5,29,58,61,68,95,112],"processing":[6,30,82],"method":[7,31,83],"in":[8,62,133],"Mongolian-Chinese":[9,22,87,135],"neural":[10],"machine":[11],"translation":[12,136],"based":[13,19,32,84],"on":[14,20,33,85],"similarity":[16,35,54],"model":[17,36],"and":[18,48,59,65,105,115],"alignment":[23,88,99],"dictionary":[24,89],"are":[25,113],"studied.":[26],"The":[27,79,118],"uses":[37],"word":[39,46,81,98],"vector":[40],"to":[41,73,91],"capture":[42],"characteristics":[44],"of":[45],"semantics":[47,72],"grammatical":[49],"information,":[50],"calculates":[51],"semantic":[53],"between":[55],"vocabulary,":[64],"selects":[66],"with":[69,96],"closest":[71],"replace":[74,92],"all":[75],"words.":[78],"is":[90],"information.":[100],"Finally,":[101],"original":[103],"corpus":[104,108],"new":[107],"replacing":[109],"merged":[114],"Training":[116],"model.":[117],"final":[119],"experiment":[120],"showed":[121],"that":[122],"translation's":[124],"BLEU":[125],"value":[126],"was":[127],"increased":[128],"by":[129],"0.95":[130],"percentage":[131],"points":[132],"task.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
