Language Embeddings for Typology and Cross-lingual Transfer Learning [article]

Dian Yu and Taiqi He and Kenji Sagae
2021 arXiv   pre-print
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
more » ... tting: cross-lingual dependency parsing and cross-lingual natural language inference.
arXiv:2106.02082v1 fatcat:l4sdumpujvg2dbipbq4fz6pj5a