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We build a massive many-to-one NMT system from 1017 languages into English, and use this to predict information missing from typological databases.
Jul 29, 2017 · We build a massive many-to-one neural machine translation (NMT) system from 1017 languages into English, and use this to predict information missing from ...
We build a massive many-to-one NMT system from 1017 languages into English, and use this to predict information missing from typological databases.
Malaviya, Neubig, and Littell (2017) used logistic regression classifiers to probe whether typological features can be predicted from language representations ...
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Table of Contents · Abstract · 1 Introduction · 2 Related Work. 2.1 Projection; 2.2 Language Independent · 3 Our method: Cheap Translation · 4 Experimental Setup.
Jun 1, 2024 · Prediction is argued to be useful either because (1) it allows for obtaining feature values for relatively undocumented languages, alleviating ...
Jul 29, 2017 · Learning Language Representations for Typology Prediction. Chaitanya Malaviya and Graham Neubig and Patrick Littell. Language Technologies ...
Based on an extensive survey of the linguistic typology community, we present concrete recommendations for future research in order to improve this alignment ...
Mar 20, 2023 · This study is the first attempt to learn language representations and model language similarities using semantic typology at a large scale, ...
Learning Language Representations for. Typology Prediction. In Proceedings of the Con- ference on Empirical Methods in Natural Language. Processing. Adam ...