75 citations · 214 across the 27 of their papers we have counts for
4 papers · 1 filter
Break it Down for Me: A Study in Automated Lyric Annotation
Lucas Sterckx, Jason Naradowsky, Bill Byrne +2
Comprehending lyrics, as found in songs and poems, can pose a challenge to human and machine readers alike. This motivates the need for systems that can understand the ambiguity an…
A Comparison of Neural Models for Word Ordering
Eva Hasler, Felix Stahlberg, Marcus Tomalin +2
We compare several language models for the word-ordering task and propose a new bag-to-sequence neural model based on attention-based sequence-to-sequence models. We evaluate the m…
SGNMT -- A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies
Felix Stahlberg, Eva Hasler, Danielle Saunders +1
This paper introduces SGNMT, our experimental platform for machine translation research. SGNMT provides a generic interface to neural and symbolic scoring modules (predictors) with…
Unfolding and Shrinking Neural Machine Translation Ensembles
Felix Stahlberg, Bill Byrne
Ensembling is a well-known technique in neural machine translation (NMT) to improve system performance. Instead of a single neural net, multiple neural nets with the same topology…