我们能否创建一个使用自动翻译的图像字幕训练集?

Nermin Samet, Samet Hicsonmez, P. D. Sahin, Emre Akbas
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引用次数: 6

摘要

近年来,自动图像字幕越来越受到人们的关注。尽管针对这个问题开发了许多英语数据集,但只有一个土耳其语数据集,与英语数据集相比,它非常小。为图像字幕创建一个新的数据集是一项非常昂贵和耗时的任务。这项工作是将可用的大型英语数据集转换为土耳其语的第一步。我们使用自动翻译工具将英文字幕数据集翻译成土耳其语,并在自动获得的土耳其语字幕上训练图像字幕模型。我们的实验表明,该模型在土耳其语字幕上的表现是迄今为止最好的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Could we create a training set for image captioning using automatic translation?
Automatic image captioning has received increasing attention in recent years. Although there are many English datasets developed for this problem, there is only one Turkish dataset and it is very small compared to its English counterparts. Creating a new dataset for image captioning is a very costly and time consuming task. This work is a first step towards transferring the available, large English datasets into Turkish. We translated English captioning datasets into Turkish by using an automated translation tool and we trained an image captioning model on the automatically obtained Turkish captions. Our experiments show that this model yields the best performance so far on Turkish captioning.
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