44 - Truly Low Resource NLP, with Anders Søgaard

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.
https://www.semanticscholar.org/paper/If-all-you-have-is-a-bit-of-the-Bible-Learning-POS-Agic-Hovy/812965ddce635174b33621aaaa551e5f6199b6c0
https://www.semanticscholar.org/paper/Multilingual-Projection-for-Parsing-Truly-Low-Reso-Agic-Johannsen/1414e3041f4cc3366b6ab49d1dbe9216632b9c78
https://www.semanticscholar.org/paper/Cross-Lingual-Dependency-Parsing-with-Late-Decodin-Schlichtkrull-S%C3%B8gaard/eda636e3abae829cf7ad8e0519fbaec3f29d1e82
https://www.semanticscholar.org/paper/A-Strong-Baseline-for-Learning-Cross-Lingual-Word-S%C3%B8gaard-Goldberg/55ca53050fcd29e43d6dcfb7dfc6a602ec5e6878