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Found 8 papers, 2 papers with code
Evaluating Pre-training Objectives for Low-Resource Translation into Morphologically Rich Languages
We conduct our evaluation on four typologically diverse target MRLs, and find that PT-Inflect surpasses NMT systems trained only on parallel data.
Linguistically Motivated Subwords for English-Tamil Translation: University of Groningen’s Submission to WMT-2020
This paper describes our submission for the English-Tamil news translation task of WMT-2020.
Optimal Word Segmentation for Neural Machine Translation into Dravidian Languages
Dravidian languages, such as Kannada and Tamil, are notoriously difficult to translate by state-of-the-art neural models.
VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering
We present VQA-MHUG - a novel 49-participant dataset of multimodal human gaze on both images and questions during visual question answering (VQA) collected using a high-speed eye tracker.
Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent Neural Networks
It is now established that modern neural language models can be successfully trained on multiple languages simultaneously without changes to the underlying architecture.
Learning to Predict Novel Noun-Noun Compounds
We introduce temporally and contextually-aware models for the novel task of predicting unseen but plausible concepts, as conveyed by noun-noun compounds in a time-stamped corpus.
Measuring the compositionality of noun-noun compounds over time
We present work in progress on the temporal progression of compositionality in noun-noun compounds.
Does Syntactic Knowledge in Multilingual Language Models Transfer Across Languages?
Recent work has shown that neural models can be successfully trained on multiple languages simultaneously.
