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Vernacular Search Query Translation with Unsupervised Domain Adaptation. (arXiv:2208.03711v1 [cs.CL])
Aug. 9, 2022, 1:12 a.m. | Mandar Kulkarni, Nikesh Garera
cs.CL updates on arXiv.org arxiv.org
With the democratization of e-commerce platforms, an increasingly diversified
user base is opting to shop online. To provide a comfortable and reliable
shopping experience, it's important to enable users to interact with the
platform in the language of their choice. An accurate query translation is
essential for Cross-Lingual Information Retrieval (CLIR) with vernacular
queries. Due to internet-scale operations, e-commerce platforms get millions of
search queries every day. However, creating a parallel training set to train an
in-domain translation model is …
arxiv domain adaptation query search translation unsupervised
More from arxiv.org / cs.CL updates on arXiv.org
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