Search Results for author:
Found 3 papers, 2 papers with code
Transfer Learning in Multilingual Neural Machine Translation with Dynamic Vocabulary
Our approach allows to extend an initial model for a given language pair to cover new languages by adapting its vocabulary as long as new data become available (i. e., introducing new vocabulary items if they are not included in the initial model).
Neural Machine Translation into Language Varieties
Both research and commercial machine translation have so far neglected the importance of properly handling the spelling, lexical and grammar divergences occurring among language varieties.
Grounded Textual Entailment
Capturing semantic relations between sentences, such as entailment, is a long-standing challenge for computational semantics.
Ranked #2 on
Natural Language Inference
on V-SNLI
