Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation

no code implementations • WS 2019 • Weston Feely, Eva Hasler, Adri{\`a} de Gispert

In the Japanese language different levels of honorific speech are used to convey respect, deference, humility, formality and social distance.

Machine Translation NMT +2

CUED@WMT19:EWC\&LMs

no code implementations • WS 2019 • Felix Stahlberg, Danielle Saunders, Adri{\`a} de Gispert, Bill Byrne

Two techniques provide the fabric of the Cambridge University Engineering Department{'}s (CUED) entry to the WMT19 evaluation campaign: elastic weight consolidation (EWC) and different forms of language modelling (LMs).

Language Modelling Sentence

Transducer Disambiguation with Sparse Topological Features

no code implementations • EMNLP 2015 • Gonzalo Iglesias, Adri{\`a} de Gispert, Bill Byrne

Language Modelling

Pushdown Automata in Statistical Machine Translation

no code implementations • CL 2014 • Cyril Allauzen, Bill Byrne, Adri{\`a} de Gispert, Gonzalo Iglesias, Michael Riley

Language Modelling Machine Translation +1

Effective Incorporation of Source Syntax into Hierarchical Phrase-based Translation

no code implementations • COLING 2014 • Tong Xiao, Adri{\`a} de Gispert, Jingbo Zhu, Bill Byrne

Machine Translation Translation

Source-side Preordering for Translation using Logistic Regression and Depth-first Branch-and-Bound Search

no code implementations • EACL 2014 • Laura Jehl, Adri{\`a} de Gispert, Mark Hopkins, Bill Byrne

Machine Translation regression +1

Word Ordering with Phrase-Based Grammars

no code implementations • EACL 2014 • Adri{\`a} de Gispert, Marcus Tomalin, Bill Byrne

Language Modelling Machine Translation

The University of Cambridge Russian-English System at WMT13

no code implementations • WS 2013 • Juan Pino, Aurelien Waite, Tong Xiao, Adri{\`a} de Gispert, Federico Flego, William Byrne

Efficient Exploration Language Modelling +1