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Found 8 papers, 3 papers with code
Auxiliary Subword Segmentations as Related Languages for Low Resource Multilingual Translation
We propose a novel technique that combines alternative subword tokenizations of a single source-target language pair that allows us to leverage multilingual neural translation training methods.
CipherDAug: Ciphertext based Data Augmentation for Neural Machine Translation
We propose a novel data-augmentation technique for neural machine translation based on ROT-$k$ ciphertexts.
Ranked #9 on
Machine Translation
on IWSLT2014 German-English
Measuring and Improving Faithfulness of Attention in Neural Machine Translation
While the attention heatmaps produced by neural machine translation (NMT) models seem insightful, there is little evidence that they reflect a model{'}s true internal reasoning.
Training with Adversaries to Improve Faithfulness of Attention in Neural Machine Translation
Can we trust that the attention heatmaps produced by a neural machine translation (NMT) model reflect its true internal reasoning?
Interrogating the Explanatory Power of Attention in Neural Machine Translation
Attention models have become a crucial component in neural machine translation (NMT).
Sign Clustering and Topic Extraction in Proto-Elamite
We describe a first attempt at using techniques from computational linguistics to analyze the undeciphered proto-Elamite script.
Decipherment for Adversarial Offensive Language Detection
Automated filters are commonly used by online services to stop users from sending age-inappropriate, bullying messages, or asking others to expose personal information.
