Synthetic Corpus
Related Papers
Adobe AMPS’s Submission for Very Low Resource Supervised Translation Task at WMT20
AbstractIn this paper, we describe our systems submitted to the very low resource supervised translation task at WMT20. We participate in both translation directions for Upper Sorbian-German language pair. Our …...
Measure and Evaluation of Semantic Divergence across Two Languages
AbstractLanguages are dynamic systems: word usage may change over time, reflecting various societal factors. However, all languages do not evolve identically: the impact of an event, the influence of a …...
Comparing and combining tagging with different decoding algorithms for back-translation in NMT: learnings from a low resource scenario
AbstractBack-translation is a well established approach to improve the performance of Neural Machine Translation (NMT) systems when large monolingual corpora of the target language and domain are available. Recently, diverse …...
DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models
AbstractIn this paper, we present and implement a multi-dimensional, modular framework for performing deep argument analysis (DeepA2) using current pre-trained language models (PTLMs). ArgumentAnalyst – a T5 model [Raffel et …...
Can Synthetic Text Help Clinical Named Entity Recognition? A Study of Electronic Health Records in French
AbstractIn sensitive domains, the sharing of corpora is restricted due to confidentiality, copyrights or trade secrets. Automatic text generation can help alleviate these issues by producing synthetic texts that mimic …...