Search Results - "Specia, Lucia"

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  1. 1

    Data-Driven Sentence Simplification: Survey and Benchmark by Alva-Manchego, Fernando, Scarton, Carolina, Specia, Lucia

    “…Sentence Simplification (SS) aims to modify a sentence in order to make it easier to read and understand. In order to do so, several rewriting transformations…”
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    Journal Article
  2. 2

    A Survey on Lexical Simplification by Paetzold, Gustavo H., Specia, Lucia

    “…Lexical Simplification is the process of replacing complex words in a given sentence with simpler alternatives of equivalent meaning. This task has wide…”
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    Journal Article
  3. 3

    The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification by Alva-Manchego, Fernando, Scarton, Carolina, Specia, Lucia

    “…In order to simplify sentences, several rewriting operations can be performed, such as replacing complex words per simpler synonyms, deleting unnecessary…”
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    Journal Article
  4. 4

    Multimodal machine translation through visuals and speech by Sulubacak, Umut, Caglayan, Ozan, Grönroos, Stig-Arne, Rouhe, Aku, Elliott, Desmond, Specia, Lucia, Tiedemann, Jörg

    Published in Machine translation (01-09-2020)
    “…Multimodal machine translation involves drawing information from more than one modality, based on the assumption that the additional modalities will contain…”
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    Journal Article
  5. 5

    Unsupervised Quality Estimation for Neural Machine Translation by Fomicheva, Marina, Sun, Shuo, Yankovskaya, Lisa, Blain, Frédéric, Guzmán, Francisco, Fishel, Mark, Aletras, Nikolaos, Chaudhary, Vishrav, Specia, Lucia

    “…Quality Estimation (QE) is an important component in making Machine Translation (MT) useful in real-world applications, as it is aimed to inform the user on…”
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    Journal Article
  6. 6

    Read, spot and translate by Specia, Lucia, Wang, Josiah, Lee, Sun Jae, Ostapenko, Alissa, Madhyastha, Pranava

    Published in Machine translation (2021)
    “…We propose multimodal machine translation (MMT) approaches that exploit the correspondences between words and image regions. In contrast to existing work, our…”
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    Journal Article
  7. 7

    MSVD-Turkish: a comprehensive multimodal video dataset for integrated vision and language research in Turkish by Citamak, Begum, Caglayan, Ozan, Kuyu, Menekse, Erdem, Erkut, Erdem, Aykut, Madhyastha, Pranava, Specia, Lucia

    Published in Machine translation (01-06-2021)
    “…Automatic generation of video descriptions in natural language, also called video captioning , aims to understand the visual content of the video and produce a…”
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    Journal Article
  8. 8

    A Quantitative Analysis of Discourse Phenomena in Machine Translation by Scarton, Carolina, Specia, Lucia

    Published in Discours (09-09-2015)
    “…State-of-the-art Machine Translation (MT) systems translate documents by considering isolated sentences, disregarding information beyond sentence level. As a…”
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    Journal Article
  9. 9

    Phrase Localization Without Paired Training Examples by Wang, Josiah, Specia, Lucia

    “…Localizing phrases in images is an important part of image understanding and can be useful in many applications that require mappings between textual and…”
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    Conference Proceeding
  10. 10

    Taking MT Evaluation Metrics to Extremes: Beyond Correlation with Human Judgments by Fomicheva, Marina, Specia, Lucia

    “…Automatic Machine Translation (MT) evaluation is an active field of research, with a handful of new metrics devised every year. Evaluation metrics are…”
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    Journal Article
  11. 11

    Supervised Visual Attention for Simultaneous Multimodal Machine Translation by Haralampieva, Veneta, Caglayan, Ozan, Specia, Lucia

    “…There has been a surge in research in multimodal machine translation (MMT), where additional modalities such as images are used to improve translation quality…”
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    Journal Article
  12. 12

    Leveraging auxiliary image descriptions for dense video captioning by Boran, Emre, Erdem, Aykut, Ikizler-Cinbis, Nazli, Erdem, Erkut, Madhyastha, Pranava, Specia, Lucia

    Published in Pattern recognition letters (01-06-2021)
    “…•A pipeline that fetches visually relevant images for dense video captioning.•Attention mechanism to include auxiliary phrases within adversarial training.•On…”
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    Journal Article
  13. 13

    Machine translation evaluation versus quality estimation by Specia, Lucia, Raj, Dhwaj, Turchi, Marco

    Published in Machine translation (01-03-2010)
    “…Most evaluation metrics for machine translation (MT) require reference translations for each sentence in order to produce a score reflecting certain aspects of…”
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    Journal Article
  14. 14

    Latent Variable Models for Visual Question Answering by Wang, Zixu, Miao, Yishu, Specia, Lucia

    “…Current work on Visual Question Answering (VQA) explore deterministic approaches conditioned on various types of image and question features. We posit that, in…”
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    Conference Proceeding
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    A Bayesian non-linear method for feature selection in machine translation quality estimation by Shah, Kashif, Cohn, Trevor, Specia, Lucia

    Published in Machine translation (01-06-2015)
    “…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…”
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    Journal Article
  18. 18

    Predicting and Using Implicit Discourse Elements in Chinese-English Translation by Steele, David, Specia, Lucia

    Published in Baltic Journal of Modern Computing (01-01-2016)
    “…In machine translation (MT) implicitation can occur when elements such as discourse markers and pronouns are not expected or mandatory in the source language,…”
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    Journal Article
  19. 19

    Investigating the contribution of linguistic information to quality estimation by Felice, Mariano, Specia, Lucia

    Published in Machine translation (01-12-2013)
    “…This paper describes a study on the contribution of linguistically-informed features to the task of quality estimation for machine translation at sentence…”
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    Journal Article
  20. 20

    Tuning Language Models by Mixture-of-Depths Ensemble by Luo, Haoyan, Specia, Lucia

    Published 16-10-2024
    “…Transformer-based Large Language Models (LLMs) traditionally rely on final-layer loss for training and final-layer representations for predictions, potentially…”
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    Journal Article