<?xml version="1.0" encoding="UTF-8"?><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>neural-machine-translation-by-jointly-learning-to-align-and-translate-2021-018</dc:title><dc:creator>Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio</dc:creator><dc:date>2021</dc:date><dc:description>This record links to a foundational neural machine translation paper that introduced an attention-based alignment approach. It is useful for testing humanities-adjacent computational linguistics records and external document workflows.</dc:description><dc:identifier>https://inrepscholar.com/projects/957</dc:identifier></oai_dc:dc>