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Zero-shot Cross-Linguistic Learning of Event Semantics. (arXiv:2207.02356v1 [cs.CL])
July 7, 2022, 1:11 a.m. | Malihe Alikhani, Thomas Kober, Bashar Alhafni, Yue Chen, Mert Inan, Elizabeth Nielsen, Shahab Raji, Mark Steedman, Matthew Stone
cs.CL updates on arXiv.org arxiv.org
Typologically diverse languages offer systems of lexical and grammatical
aspect that allow speakers to focus on facets of event structure in ways that
comport with the specific communicative setting and discourse constraints they
face. In this paper, we look specifically at captions of images across Arabic,
Chinese, Farsi, German, Russian, and Turkish and describe a computational model
for predicting lexical aspects. Despite the heterogeneity of these languages,
and the salient invocation of distinctive linguistic resources across their
caption corpora, speakers …
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