MultiMT is a project led by Prof. Lucia Specia, funded by an ERC (European Research Council) Starting Grant. The aim of the project is to devise data, methods and algorithms to exploit multi-modal information (images, speech, metadata etc.) for context modelling in Machine Translation and other crosslingual and multilingual tasks. The project is highly interdisciplinary, drawing upon different research fields as such NLP, Computer Vision, Speech Processing and Machine Learning.


[1/10/2018] The project and the team are moving to Imperial College London. More soon!

[01/09/2018] Pranava will be at BMVC 2018 in Newcastle upon Tyne.

[25/06/2018] The team is participating in a 6-week JSALT workshop on grounded sequence to sequence transduction. You can watch our final presentation here.

[29/05/2018] Pranava and Josiah will be at NAACL 2018. Please say hi and visit our talk (Sunday morning) and poster (Monday afternoon)!

[03/05/2018] Chiraag will be at LREC 2018. Please visit our poster!

[03/03/2018] Josiah and Pranava will be at the Conference for the European Network on Integrating Vision and Language (IVL 2018) in Tartu, Estonia (barring weather issues!). Come talk to us!

[01/03/2018] A short paper on ‘de-foiling’ foiled image captions accepted for an oral presentation at NAACL 2018!

[14/02/2018] A long paper on using explicit object detection outputs for image captioning accepted at NAACL 2018!

[20/12/2017] A paper on Multimodal Lexical Translation accepted at LREC 2018!

[07/09/2017] A paper on using speech information for NMT accepted at ASRU 2017!

[05/09/2017] Lucia, Pranava and Chiraag will be at WMT/EMNLP 2017 in Copenhagen. Please visit our poster for the WMT Multimodal MT shared task!

[01/09/2017] Lucia will be giving a talk on Multimodal Machine Translation at the MT Marathon in Lisbon on 1st Sept 2017. The slides are available here.

[08/07/2017] Our system paper for the WMT Multimodal Machine Translation Shared Task is available.

[16/06/2017] A paper on fine-tuning with auxiliary data accepted at Interspeech 2017!

[20/05/2017] A paper on investigating the contribution of image captioning for MMT accepted at EAMT!



Lucia Specia


(Machine Translation)

Pranava Madhyastha

Postdoctoral researcher

(Machine Learning/NLP)

Josiah Wang

Postdoctoral researcher

(Computer Vision/NLP)

Salil Deena

Postdoctoral researcher

(Speech Processing)

Chiraag Lala

Ph.D. postgraduate


Thales Bertaglia

Ph.D. postgraduate


Former Members

Raymond Ng

Postdoctoral researcher

(Speech Processing)

Abigail Smith

Research Intern



End-to-end Image Captioning Exploits Multimodal Distributional Similarity

Pranava Madhyastha, Josiah Wang, Lucia Specia

British Machine Vision Conference (BVMC), 2018

Paper Appendix

Defoiling Foiled Image Captions

Pranava Madhyastha, Josiah Wang, Lucia Specia

North American Chapter of the Association of Computational Linguistics: Human Language Technology (NAACL HLT), Short Paper, 2018


Object Counts! Bringing Explicit Detections Back into Image Captioning

Josiah Wang, Pranava Madhyastha, Lucia Specia

North American Chapter of the Association of Computational Linguistics: Human Language Technology (NAACL HLT), Long Paper, 2018


The Role of Image Representations in Vision to Language Tasks

Pranava Madhyastha, Josiah Wang, Lucia Specia

Natural Language Engineering, 24 (3): 415-439, 2018


Multimodal Lexical Translation

Chiraag Lala and Lucia Specia

Language Resources and Evaluation Conference (LREC), 2018


Exploring the Use of Acoustic Embeddings in Neural Machine Translation

Salil Deena, Raymond WM Ng, Pranava Madhyashtha, Lucia Specia, and Thomas Hain

Automatic Speech Recognition and Understanding Workshop (ASRUW), 2017


Sheffield MultiMT: Using Object Posterior Predictions for Multimodal Machine Translation

Pranava Madhyastha*, Josiah Wang*, Lucia Specia (* denotes equal contribution)

Conference on Machine Translation (WMT), 2017

We participated in the Multimodal Machine Translation (MMT) shared task of translating image descriptions from English to German/French given the corresponding image. Can the use of object posterior predictions instead of lower-level image features help MMT?


Semi-supervised Adaptation of RNNLMs by Fine-tuning with Domain-specific Auxiliary Features

Salil Deena, Raymond Ng, Pranava Madhyastha, Lucia Specia, Thomas Hain

Interspeech, 2017

How do we fine-tune RNN Language Models with auxiliary features for a specific domain?


Unraveling the Contribution of Image Captioning and Neural Machine Translation for Multimodal Machine Translation

Chiraag Lala, Pranava Madhyastha, Josiah Wang, Lucia Specia

European Association for Machine Translation (EAMT), 2017

What are the contributions of image captioning and neural machine translation systems in Multimodal Machine Translation? Can we use the output of image captioning systems to rerank neural machine translation hypotheses?

Paper Poster


For project/collaboration related queries, please contact Prof. Lucia Specia.

For website related issues please contact Josiah Wang.