Edinburgh’s Syntax-Based Systems at WMT 2015
By Philip Williams, Rico Sennrich, Maria Nadejde, Matthias Huck, Philipp Koehn. 2014
20 citations recorded by the source corpus.
This paper describes the string-to-tree systems built at the University of Edinburgh for the WMT 2014 shared translation task. We developed systems for English-German, Czech-English, FrenchEnglish, German-English, Hindi-English, and Russian-English. This year we improved our English-German system through target-side compound splitting, morphosyntactic constraints, and refinements to parse tree annotation; we addressed the out-of-vocabulary problem using transliteration for Hindi and Russian and using morphological reduction for Russian; we improved our GermanEnglish system through tree binarization; and we reduced system development time by filtering the tuning sets.
Subfields: Artificial Intelligence, Machine Translation
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Philipp Koehn
- Rico Sennrich
- Felix Stahlberg
- Graham Neubig
- Barry Haddow
- Ondrej Bojar
- Yonatan Belinkov
- Nadir Durrani
In Machine Translation
- Philipp Koehn
- Rico Sennrich
- Barry Haddow
- Nadir Durrani
- Matthias Huck
- Philip Williams
- Maria Nadejde
- Alexandra Birch
Citations in the corpus
- EU-BRIDGE MT: Combined Machine Translation (2014, methodology): “UEDIN’s syntax-based systems (Williams et al., 2014) follow the GHKM syntax approach as proposed by Galley, Hopkins, Knight, and Marcu (Galley et al.”
- The Edinburgh/JHU Phrase-based Machine Translation Systems for WMT 2015 (2015, methodology): “We did not employ the morphological splitting as in Edinburgh’s syntax-based sys-tem (Williams et al., 2015) and consequently the English → Finnish systems performed poorly in development and we did not submit a phrase-based system for this pair.”
- Edinburgh’s Statistical Machine Translation Systems for WMT16 (2016, methodology): “3 Finnish→English Our Finnish→English syntax-based system was similar to last year’s (Williams et al., 2015).”
- Modelling and Optimizing on Syntactic N-Grams for Statistical Machine Translation (2015, background): “It is described in more detail in (Williams et al., 2014).”