http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113688640-B

Outgoing Links

Predicate Object
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-58
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-047
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-211
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F40-211
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F40-58
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F40-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
filingDate 2021-08-30-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2023-01-20-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2023-01-20-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-113688640-B
titleOfInvention A neural network machine translation method for medical document translation
abstract The invention discloses a neural network machine translation method for medical document translation, which belongs to the technical field of machine translation. The invention solves the problem of low accuracy rate of translating medical entities in medical documents by using the existing method. The model of the method of the present invention can effectively model and learn medical named entities, which can greatly help the NMT system to alleviate a series of translation problems caused by entity translation inconsistencies, and fully consider the above documents in the sentence-by-sentence translation Textual information, so that the translation is more complete, conforms to the grammatical structure of the target language, and follows the semantics of the original text, thereby improving the accuracy of translation of medical entities and bringing about an overall improvement in the quality of the translation. The invention can be applied to the translation of medical documents.
priorityDate 2021-08-30-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

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Total number of triples: 30.