Image natural language description generation method and device with cross-linguistic learning ability
The invention provides an image natural language description generation method and device with cross-linguistic learning ability. The method comprises the steps that English description sentences are translated into target language description sentences through a machine; part of the target language...
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| creator | LAN WEIYU DONG JIANFENG LI XIRONG |
| description | The invention provides an image natural language description generation method and device with cross-linguistic learning ability. The method comprises the steps that English description sentences are translated into target language description sentences through a machine; part of the target language description sentences are selected randomly to form a training sample set; a smooth sample set and a non-smooth sample set are used for training a sentence smooth degree model; the target language description sentences in a candidate data set are subjected to smooth degree evaluation through the sentence smooth degree model, and according to the smooth degree probability of each target language description sentence, a strategy for training an image description sentence generation model is set; according to the strategy, the image description sentence generation model is trained, and the trained image description sentence generation model is obtained. According to the image natural language description generation m |
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The method comprises the steps that English description sentences are translated into target language description sentences through a machine; part of the target language description sentences are selected randomly to form a training sample set; a smooth sample set and a non-smooth sample set are used for training a sentence smooth degree model; the target language description sentences in a candidate data set are subjected to smooth degree evaluation through the sentence smooth degree model, and according to the smooth degree probability of each target language description sentence, a strategy for training an image description sentence generation model is set; according to the strategy, the image description sentence generation model is trained, and the trained image description sentence generation model is obtained. According to the image natural language description generation m</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2017</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20171215&DB=EPODOC&CC=CN&NR=107480144A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25568,76551</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20171215&DB=EPODOC&CC=CN&NR=107480144A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LAN WEIYU</creatorcontrib><creatorcontrib>DONG JIANFENG</creatorcontrib><creatorcontrib>LI XIRONG</creatorcontrib><title>Image natural language description generation method and device with cross-linguistic learning ability</title><description>The invention provides an image natural language description generation method and device with cross-linguistic learning ability. The method comprises the steps that English description sentences are translated into target language description sentences through a machine; part of the target language description sentences are selected randomly to form a training sample set; a smooth sample set and a non-smooth sample set are used for training a sentence smooth degree model; the target language description sentences in a candidate data set are subjected to smooth degree evaluation through the sentence smooth degree model, and according to the smooth degree probability of each target language description sentence, a strategy for training an image description sentence generation model is set; according to the strategy, the image description sentence generation model is trained, and the trained image description sentence generation model is obtained. 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The method comprises the steps that English description sentences are translated into target language description sentences through a machine; part of the target language description sentences are selected randomly to form a training sample set; a smooth sample set and a non-smooth sample set are used for training a sentence smooth degree model; the target language description sentences in a candidate data set are subjected to smooth degree evaluation through the sentence smooth degree model, and according to the smooth degree probability of each target language description sentence, a strategy for training an image description sentence generation model is set; according to the strategy, the image description sentence generation model is trained, and the trained image description sentence generation model is obtained. According to the image natural language description generation m</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Image natural language description generation method and device with cross-linguistic learning ability |
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