This collection consists of ~20M web queries collected from ~650k users over three months.
The data is sorted by anonymous user ID and sequentially arranged.
Here at Google Research we have been using word n-gram models for a variety of R&D projects, such as statistical machine translation, speech recognition, spelling correction, entity detection, information extraction, and others. While such models have usu
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A. Dulny, A. Hotho, and A. Krause. Machine Learning and Knowledge Discovery in Databases: Research Track, page 438--455. Cham, Springer Nature Switzerland, (2023)
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X. Wang, Z. Wang, X. Han, W. Jiang, R. Han, Z. Liu, J. Li, P. Li, Y. Lin, and J. Zhou. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), page 1652--1671. Online, Association for Computational Linguistics, (November 2020)
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