论文标题
有帮助的邻居：在地理特征发音中利用邻居
Helpful Neighbors: Leveraging Neighbors in Geographic Feature Pronunciation
论文作者
论文摘要
如果有人看到休斯顿·默瑟犬（Houston Mercer Dog）在纽约跑步的地方，那么怎么知道如何发音？假设一个人知道纽约休斯顿被称为“ how-ston”，而不是德克萨斯城，那么人们可能会猜测“ how-ston”也以狗公园的名义使用。我们提出了一种新颖的体系结构，该架构学会使用相邻名称的发音，以猜测给定目标特征的发音。应用于日本位置名称，我们将模型的实用程序用于查找和提出Google Maps中错误的更正。 为了证明这种在结构上相似问题的方法的实用性，我们还报告了针对完全不同的任务的应用：比较历史语言学中的同源反射预测。该代码的版本已开源（https://github.com/google-research/google-research/tree/master/master/cognate_inpaint_neighbors）。
If one sees the place name Houston Mercer Dog Run in New York, how does one know how to pronounce it? Assuming one knows that Houston in New York is pronounced "how-ston" and not like the Texas city, then one can probably guess that "how-ston" is also used in the name of the dog park. We present a novel architecture that learns to use the pronunciations of neighboring names in order to guess the pronunciation of a given target feature. Applied to Japanese place names, we demonstrate the utility of the model to finding and proposing corrections for errors in Google Maps. To demonstrate the utility of this approach to structurally similar problems, we also report on an application to a totally different task: Cognate reflex prediction in comparative historical linguistics. A version of the code has been open-sourced (https://github.com/google-research/google-research/tree/master/cognate_inpaint_neighbors).
