论文标题
芬兰语的自动方言适应及其对感知创造力的影响
Automatic Dialect Adaptation in Finnish and its Effect on Perceived Creativity
论文作者
论文摘要
我们提出了一种新颖的方法，用于调整以标准芬兰语为不同方言的文本。我们通过使用多元直肠和转移学习方法来尝试角色级别的NMT模型。这些模型经过20多种不同的方言进行了测试。结果似乎有利于转移学习，尽管不是强烈的多独心直肠方法。我们研究了辩证法适应对计算机产生的诗歌创造力的影响。我们的结果表明，方言与标准芬兰语的偏离越多，人们倾向于在现有评估指标上给出的得分越低。但是，在单词关联测试中，人们将创造力和独创性与方言和流利性更多地与标准芬兰语联系在一起。
We present a novel approach for adapting text written in standard Finnish to different dialects. We experiment with character level NMT models both by using a multi-dialectal and transfer learning approaches. The models are tested with over 20 different dialects. The results seem to favor transfer learning, although not strongly over the multi-dialectal approach. We study the influence dialectal adaptation has on perceived creativity of computer generated poetry. Our results suggest that the more the dialect deviates from the standard Finnish, the lower scores people tend to give on an existing evaluation metric. However, on a word association test, people associate creativity and originality more with dialect and fluency more with standard Finnish.
