Papers by Faheem Kirefu
Parallel Sentence Mining by Constrained Decoding (2020.acl-main)
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| Challenge: | Using a neural machine translation system to extract parallel sentences from two monolingual corpora is challenging. |
| Approach: | They propose a method to extract parallel sentences from two monolingual corpora by constraining the decoding by a prefix tree built on the other corpus. |
| Outcome: | The proposed method achieves comparable results to other submissions on the BUCC shared task. |
ParaCrawl: Web-Scale Acquisition of Parallel Corpora (2020.acl-main)
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Marta Bañón, Pinzhen Chen, Barry Haddow, Kenneth Heafield, Hieu Hoang, Miquel Esplà-Gomis, Mikel L. Forcada, Amir Kamran, Faheem Kirefu, Philipp Koehn, Sergio Ortiz Rojas, Leopoldo Pla Sempere, Gema Ramírez-Sánchez, Elsa Sarrías, Marek Strelec, Brian Thompson, William Waites, Dion Wiggins, Jaume Zaragoza
| Challenge: | We describe methods to create the largest publicly available parallel corpora by crawling the web . parallel corpus is essential for building highquality machine translation systems . |
| Approach: | They describe methods to create largest publicly available parallel corpora by crawling web sites . they empirically compare alternative methods and publish benchmark data sets . |
| Outcome: | The proposed methods improve state-of-the-art results on common benchmarks, the authors show . the pipeline has been tested on Russian, Sinhala, Nepali, Tagalog, Swahili, and Somali . |