44 - Truly Low Resource NLP, with Anders Sgaard
Anders talks with us about his line of work on doing NLP in languages where you have no linguistic resources other than a Bible translation or other religious works. He and his students have developed methods for annotation projection for both part of speech tagging and dependency parsing, aggregating information from many languages to predict annotations for languages where you have no training data. We talk about low-resource NLP generally, then dive into the specifics of the annotation projection method that Anders used, also touching on a related paper on learning cross-lingual word embeddings.\n\nhttps://www.semanticscholar.org/paper/If-all-you-have-is-a-bit-of-the-Bible-Learning-POS-Agic-Hovy/812965ddce635174b33621aaaa551e5f6199b6c0\nhttps://www.semanticscholar.org/paper/Multilingual-Projection-for-Parsing-Truly-Low-Reso-Agic-Johannsen/1414e3041f4cc3366b6ab49d1dbe9216632b9c78\nhttps://www.semanticscholar.org/paper/Cross-Lingual-Dependency-Parsing-with-Late-Decodin-Schlichtkrull-S%C3%B8gaard/eda636e3abae829cf7ad8e0519fbaec3f29d1e82\nhttps://www.semanticscholar.org/paper/A-Strong-Baseline-for-Learning-Cross-Lingual-Word-S%C3%B8gaard-Goldberg/55ca53050fcd29e43d6dcfb7dfc6a602ec5e6878