Modeling Latent Sentence Structure in Neural Machine Translation

no code implementations • 18 Jan 2019 • Jasmijn Bastings, Wilker Aziz, Ivan Titov, Khalil Sima'an

Recently it was shown that linguistic structure predicted by a supervised parser can be beneficial for neural machine translation (NMT).

Machine Translation NMT +2

Deep Generative Model for Joint Alignment and Word Representation

1 code implementation • NAACL 2018 • Miguel Rios, Wilker Aziz, Khalil Sima'an

This work exploits translation data as a source of semantically relevant learning signal for models of word representation.

Natural Language Inference text similarity +1

Graph Convolutional Encoders for Syntax-aware Neural Machine Translation

no code implementations • EMNLP 2017 • Jasmijn Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani, Khalil Sima'an

We present a simple and effective approach to incorporating syntactic structure into neural attention-based encoder-decoder models for machine translation.

Machine Translation Translation

Multi30K: Multilingual English-German Image Descriptions

1 code implementation • WS 2016 • Desmond Elliott, Stella Frank, Khalil Sima'an, Lucia Specia

We introduce the Multi30K dataset to stimulate multilingual multimodal research.

Multimodal Machine Translation Translation

Latent Domain Word Alignment for Heterogeneous Corpora

no code implementations • HLT 2015 • Khalil Sima'an, Hoang Cuong

Sentence Word Alignment