| Budget Amount *help |
¥22,620,000 (Direct Cost: ¥17,400,000、Indirect Cost: ¥5,220,000)
Fiscal Year 2018: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2017: ¥8,840,000 (Direct Cost: ¥6,800,000、Indirect Cost: ¥2,040,000)
Fiscal Year 2016: ¥8,710,000 (Direct Cost: ¥6,700,000、Indirect Cost: ¥2,010,000)
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| Outline of Final Research Achievements |
Technology to generate sentences in natural language has various applications: machine translation, which translates between human languages, dialogue systems, which facilitate communication between humans and machines, and summarization, which converts longer chunks of content into short summaries. Recently, methods based on neural networks (NNs) have outperformed other more traditional models by a large margin, but they often also cause unpredictable and serious errors. In this project, we developed NN-based language generation technology where it is possible to control the results, maintaining the accuracy of NN-based methods while improving practical applicability.
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