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  1. Article

    Open Access

    Read, spot and translate

    We propose multimodal machine translation (MMT) approaches that exploit the correspondences between words and image regions. In contrast to existing work, our referential grounding method considers objects as the...

    Lucia Specia, Josiah Wang, Sun Jae Lee, Alissa Ostapenko… in Machine Translation (2021)

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  2. No Access

    Article

    MSVD-Turkish: a comprehensive multimodal video dataset for integrated vision and language research in Turkish

    Automatic generation of video descriptions in natural language, also called video captioning, aims to understand the visual content of the video and produce a natural language sentence depicting the objects and a...

    Begum Citamak, Ozan Caglayan, Menekse Kuyu, Erkut Erdem, Aykut Erdem… in Machine Translation (2021)

  3. Article

    Open Access

    Multimodal machine translation through visuals and speech

    Multimodal machine translation involves drawing information from more than one modality, based on the assumption that the additional modalities will contain useful alternative views of the input data. The most...

    Umut Sulubacak, Ozan Caglayan, Stig-Arne Grönroos, Aku Rouhe… in Machine Translation (2020)

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  4. No Access

    Article

    A Bayesian non-linear method for feature selection in machine translation quality estimation

    We perform a systematic analysis of the effectiveness of features for the problem of predicting the quality of machine translation (MT) at the sentence level. Starting from a comprehensive feature set, we appl...

    Kashif Shah, Trevor Cohn, Lucia Specia in Machine Translation (2015)

  5. No Access

    Article

    Quality estimation for machine translation: preface

    Lucia Specia, Radu Soricut in Machine Translation (2013)

  6. No Access

    Article

    Kirsten Malmkjær and Kevin Windle (eds.): The Oxford handbook of translation studies

    Lucia Specia in Machine Translation (2013)

  7. No Access

    Article

    Investigating the contribution of linguistic information to quality estimation

    This paper describes a study on the contribution of linguistically-informed features to the task of quality estimation for machine translation at sentence level. A standard regression algorithm is used to buil...

    Mariano Felice, Lucia Specia in Machine Translation (2013)

  8. No Access

    Article

    Pushing the frontier of Statistical Machine Translation: Preface

    Lucia Specia, Nicola Cancedda in Machine Translation (2010)

  9. No Access

    Article

    Machine translation evaluation versus quality estimation

    Most evaluation metrics for machine translation (MT) require reference translations for each sentence in order to produce a score reflecting certain aspects of its quality. The de facto metrics, BLEU and NIST,...

    Lucia Specia, Dhwaj Raj, Marco Turchi in Machine Translation (2010)

  10. Article

    An investigation into feature construction to assist word sense disambiguation

    Identifying the correct sense of a word in context is crucial for many tasks in natural language processing (machine translation is an example). State-of-the art methods for Word Sense Disambiguation (WSD) bui...

    Lucia Specia, Ashwin Srinivasan, Sachindra Joshi, Ganesh Ramakrishnan… in Machine Learning (2009)

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