Ozan Caglayan

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Imperial College London ∙ Galatasaray University ∙ Le Mans Université

BERTGEN: Multi-task Generation through BERT

We present BERTGEN, a novel generative, decoder-only model which extends...
06/07/2021 ∙ by Faidon Mitzalis, et al. ∙ 0 ∙ share

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Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation

This paper addresses the problem of simultaneous machine translation (Si...
02/22/2021 ∙ by Julia Ive, et al. ∙ 0 ∙ share

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Cross-lingual Visual Pre-training for Multimodal Machine Translation

Pre-trained language models have been shown to improve performance in ma...
01/25/2021 ∙ by Ozan Caglayan, et al. ∙ 8 ∙ share

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MSVD-Turkish: A Comprehensive Multimodal Dataset for Integrated Vision and Language Research in Turkish

Automatic generation of video descriptions in natural language, also cal...
12/13/2020 ∙ by Begum Citamak, et al. ∙ 14 ∙ share

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Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale

Automatic evaluation of language generation systems is a well-studied pr...
10/26/2020 ∙ by Ozan Caglayan, et al. ∙ 0 ∙ share

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Simultaneous Machine Translation with Visual Context

Simultaneous machine translation (SiMT) aims to translate a continuous i...
09/15/2020 ∙ by Ozan Caglayan, et al. ∙ 0 ∙ share

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Multimodal Machine Translation through Visuals and Speech

Multimodal machine translation involves drawing information from more th...
11/28/2019 ∙ by Umut Sulubacak, et al. ∙ 0 ∙ share

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Transformer-based Cascaded Multimodal Speech Translation

This paper describes the cascaded multimodal speech translation systems ...
10/29/2019 ∙ by Zixiu Wu, et al. ∙ 0 ∙ share

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Imperial College London Submission to VATEX Video Captioning Task

This paper describes the Imperial College London team's submission to th...
10/16/2019 ∙ by Ozan Caglayan, et al. ∙ 0 ∙ share

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Probing the Need for Visual Context in Multimodal Machine Translation

Current work on multimodal machine translation (MMT) has suggested that ...
03/20/2019 ∙ by Ozan Caglayan, et al. ∙ 0 ∙ share

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Multimodal Grounding for Sequence-to-Sequence Speech Recognition

Humans are capable of processing speech by making use of multiple sensor...
11/09/2018 ∙ by Ozan Caglayan, et al. ∙ 0 ∙ share

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How2: A Large-scale Dataset for Multimodal Language Understanding

In this paper, we introduce How2, a multimodal collection of instruction...
11/01/2018 ∙ by Ramon Sanabria, et al. ∙ 0 ∙ share

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LIUM-CVC Submissions for WMT18 Multimodal Translation Task

This paper describes the multimodal Neural Machine Translation systems d...
09/01/2018 ∙ by Ozan Caglayan, et al. ∙ 0 ∙ share

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LIUM Machine Translation Systems for WMT17 News Translation Task

This paper describes LIUM submissions to WMT17 News Translation Task for...
07/14/2017 ∙ by Mercedes García-Martínez, et al. ∙ 0 ∙ share

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LIUM-CVC Submissions for WMT17 Multimodal Translation Task

This paper describes the monomodal and multimodal Neural Machine Transla...
07/14/2017 ∙ by Ozan Caglayan, et al. ∙ 0 ∙ share

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Sustainable computational science: the ReScience initiative

Computer science offers a large set of tools for prototyping, writing, r...
07/14/2017 ∙ by Nicolas P. Rougier, et al. ∙ 0 ∙ share

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NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems

In this paper, we present nmtpy, a flexible Python toolkit based on Thea...
06/01/2017 ∙ by Ozan Caglayan, et al. ∙ 0 ∙ share

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Multimodal Attention for Neural Machine Translation

The attention mechanism is an important part of the neural machine trans...
09/13/2016 ∙ by Ozan Caglayan, et al. ∙ 0 ∙ share

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Does Multimodality Help Human and Machine for Translation and Image Captioning?

This paper presents the systems developed by LIUM and CVC for the WMT16 ...
05/30/2016 ∙ by Ozan Caglayan, et al. ∙ 0 ∙ share

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Ozan Caglayan

Featured Co-authors

Kai Wang

Joost van de Weijer

Florian Metze

Lucia Specia

Luis Herranz

Pranava Madhyastha

Jörg Tiedemann

Desmond Elliott

Loïc Barrault

Aykut Erdem

Erkut Erdem

BERTGEN: Multi-task Generation through BERT

Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation

Cross-lingual Visual Pre-training for Multimodal Machine Translation

MSVD-Turkish: A Comprehensive Multimodal Dataset for Integrated Vision and Language Research in Turkish

Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale

Simultaneous Machine Translation with Visual Context

Multimodal Machine Translation through Visuals and Speech

Transformer-based Cascaded Multimodal Speech Translation

Imperial College London Submission to VATEX Video Captioning Task

Probing the Need for Visual Context in Multimodal Machine Translation

Multimodal Grounding for Sequence-to-Sequence Speech Recognition

How2: A Large-scale Dataset for Multimodal Language Understanding

LIUM-CVC Submissions for WMT18 Multimodal Translation Task

LIUM Machine Translation Systems for WMT17 News Translation Task

LIUM-CVC Submissions for WMT17 Multimodal Translation Task

Sustainable computational science: the ReScience initiative

NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems

Multimodal Attention for Neural Machine Translation

Does Multimodality Help Human and Machine for Translation and Image Captioning?