Automatic image description systems are commonly trained and evaluated on large image description datasets. Recently, researchers have started to collect such datasets for languages other than English. An unexplored question is how different these datasets are from English and, if there are any differences, what causes them to differ. This paper provides a cross-linguistic comparison of Dutch, English, and German image descriptions. We find that these descriptions are similar in many respects, but the familiarity of crowd workers with the subjects of the images has a noticeable influence on the specificity of the descriptions.
|Title of host publication||Proceedings of the 10th International Conference on Natural Language Generation|
|Place of Publication||Santiago de Compostela, Spain|
|Publisher||Association for Computational Linguistics|
|Number of pages||10|
|Publication status||Published - 1 Sep 2017|