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Language Embeddings for Typology and Cross-lingual Transfer Learning by Yu, Dian; He, Taiqi; Sagae, Kenji is a scholarly article available to read on EtoBox.

What is Language Embeddings for Typology and Cross-lingual Transfer Learning about?

Cross-lingual language tasks typically require a substantial amount of annotated data or parallel translation data. We explore whether language representations that capture relationships among languages can be learned and subsequently leveraged in cross-lingual tasks without the use of parallel data. We generate dense embeddings for 29 languages using a denoising autoencoder, and evaluate the embeddings using the World Atlas of Language Structures (WALS) and two extrinsic tasks in a zero-shot setting: cross-lingual dependency parsing and cross-lingual natural language inference.

Author

Yu, Dian; He, Taiqi; Sagae, Kenji

Published

2021

Language

EN