Why Not Grab a Free Lunch? Mining Large Corpora for Parallel Sentences to Improve Translation Modeling
By Ferhan Ture, Jimmy J. Lin. 2012
20 citations recorded by the source corpus.
Subfields: Natural Language Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Natural Language Processing
- Philipp Koehn
- Jimmy J. Lin
- Chris Callison-Burch
- Adam Lopez
- Rodrigo Nogueira
- Lucia Specia
- Jason R. Smith
- Matt Post
Citations in the corpus
- Pretrained Transformers for Text Ranking: BERT and Beyond (2020, methodology): “on problem, since the restriction for semantic equivalence is relaxed. Furthermore, researchers have developed techniques for mining comparable corpora automatically at scale [Uszkoreit et al., 2010, Ture and Lin, 2012]. These can be viewed as a cross-lingual text ranking problem [Ture et al., 2011]”
- Dirt Cheap Web-Scale Parallel Text from the Common Crawl (2013, background): “Ture and Lin (2012) had a similar approach for finding parallel Wikipedia documents by using near-duplicate detection, though they did not need to apply a full translation system to all non-English documents.”