{"id":151593,"date":"2019-01-17T09:59:04","date_gmt":"2019-01-17T17:59:04","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/french-amalgam-a-machine-learned-sentence-realization-system\/"},"modified":"2019-01-17T09:59:04","modified_gmt":"2019-01-17T17:59:04","slug":"french-amalgam-a-machine-learned-sentence-realization-system","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/french-amalgam-a-machine-learned-sentence-realization-system\/","title":{"rendered":"French Amalgam: A Machine-Learned Sentence Realization System"},"content":{"rendered":"
This paper presents the French implementation of Amalgam, a machine-learned sentence realization system. It presents in some detail two of the machine-learned models employed in Amalgam and shows how linguistic intuition and knowledge can be combined with statistical techniques to improve the performance of the models.<\/p>\n<\/div>\n
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This paper presents the French implementation of Amalgam, a machine-learned sentence realization system. 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