Search Results - "Orasan, Constantin"

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  1. 1

    Word from the editors by Orăsan, Constantin, Federico, Marcello

    Published in Machine translation (01-09-2017)
    “…Translation Memories (TM) play an important role in the translation workflow of many professional translators. The underlying idea of TMs is that a translator…”
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    Journal Article
  2. 2

    Word from the editors by Orăsan, Constantin, Federico, Marcello

    Published in Machine translation (01-12-2016)
    “…Translation Memories (TMs) are widely used by professional translators in their day-to-day activities. The underlying idea of TMs is that a translator should…”
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    Journal Article
  3. 3

    Improving translation memory matching and retrieval using paraphrases by Gupta, Rohit, Orăsan, Constantin, Zampieri, Marcos, Vela, Mihaela, van Genabith, Josef, Mitkov, Ruslan

    Published in Machine translation (01-06-2016)
    “…Most current translation memory (TM) systems work on the string level (character or word level) and lack semantic knowledge while matching. They use simple…”
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  4. 4

    Comparative Evaluation of Term-Weighting Methods for Automatic Summarization by Orasan, Constantin

    Published in Journal of quantitative linguistics (01-02-2009)
    “…Term-based summarization assumes that it is possible to determine the importance of a sentence on the basis of the words it contains. To achieve this, words…”
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  5. 5

    The Role of Machine Translation Quality Estimation in the Post-Editing Workflow by Béchara, Hannah, Orăsan, Constantin, Parra Escartín, Carla, Zampieri, Marcos, Lowe, William

    Published in Informatics (Basel) (01-09-2021)
    “…As Machine Translation (MT) becomes increasingly ubiquitous, so does its use in professional translation workflows. However, its proliferation in the…”
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  6. 6

    NP Animacy Identification for Anaphora Resolution by Orasan, C., Evans, R. J.

    “…In anaphora resolution for English, animacy identification can play an integral role in the application of agreement restrictions between pronouns and…”
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  7. 7

    The QALL-ME Framework: A specifiable-domain multilingual Question Answering architecture by Ferrández, Óscar, Spurk, Christian, Kouylekov, Milen, Dornescu, Iustin, Ferrández, Sergio, Negri, Matteo, Izquierdo, Rubén, Tomás, David, Orasan, Constantin, Neumann, Guenter, Magnini, Bernardo, Vicedo, Jose Luis

    Published in Web semantics (01-07-2011)
    “…This paper presents the QALL-ME Framework, a reusable architecture for building multi- and cross-lingual Question Answering (QA) systems working on structured…”
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  8. 8

    The first Automatic Translation Memory Cleaning Shared Task by Barbu, Eduard, Escartín, Carla Parra, Bentivogli, Luisa, Negri, Matteo, Turchi, Marco, Orasan, Constantin, Federico, Marcello

    Published in Machine translation (01-12-2016)
    “…This paper reports on the organization and results of the first Automatic Translation Memory Cleaning Shared Task. This shared task is aimed at finding…”
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  9. 9

    BLEU, METEOR, BERTScore: Evaluation of Metrics Performance in Assessing Critical Translation Errors in Sentiment-oriented Text by Saadany, Hadeel, Orasan, Constantin

    Published 29-09-2021
    “…TRITON (2021) 48-56 Social media companies as well as authorities make extensive use of artificial intelligence (AI) tools to monitor postings of hate speech,…”
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  10. 10

    Cyber Risks of Machine Translation Critical Errors : Arabic Mental Health Tweets as a Case Study by Saadany, Hadeel, Tantawy, Ashraf, Orasan, Constantin

    Published 19-05-2024
    “…With the advent of Neural Machine Translation (NMT) systems, the MT output has reached unprecedented accuracy levels which resulted in the ubiquity of MT tools…”
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  11. 11

    Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews by Saadany, Hadeel, Orasan, Constantin

    Published 26-10-2020
    “…Proceedings of the Fifth Arabic Natural Language Processing Workshop WANLP 2020 Since the advent of Neural Machine Translation (NMT) approaches there has been…”
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  12. 12

    SurreyAI 2023 Submission for the Quality Estimation Shared Task by Sindhujan, Archchana, Kanojia, Diptesh, Orasan, Constantin, Ranasinghe, Tharindu

    Published 01-12-2023
    “…Quality Estimation (QE) systems are important in situations where it is necessary to assess the quality of translations, but there is no reference available…”
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  13. 13

    Semantic Textual Similarity in Quality Estimation by Béchara, Hanna, Escartín, Carla Parra, Orasan, Constantin, Specia, Lucia

    Published in Baltic Journal of Modern Computing (01-01-2016)
    “…Quality Estimation (QE) predicts the quality of machine translation output without the need for a reference translation. This quality can be defined…”
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  14. 14

    Centrality-aware Product Retrieval and Ranking by Saadany, Hadeel, Bhosale, Swapnil, Agrawal, Samarth, Kanojia, Diptesh, Orasan, Constantin, Wu, Zhe

    Published 21-10-2024
    “…This paper addresses the challenge of improving user experience on e-commerce platforms by enhancing product ranking relevant to users' search queries…”
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  15. 15

    An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual Transformers by Ranasinghe, Tharindu, Orasan, Constantin, Mitkov, Ruslan

    Published 31-05-2021
    “…Most studies on word-level Quality Estimation (QE) of machine translation focus on language-specific models. The obvious disadvantages of these approaches are…”
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  16. 16

    A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT by Saadany, Hadeel, Orasan, Constantin, Mohamed, Emad, Tantawy, Ashraf

    Published 21-10-2022
    “…Association for Computational Linguistics 2022 In the online world, Machine Translation (MT) systems are extensively used to translate User-Generated Text…”
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  17. 17

    TransQuest: Translation Quality Estimation with Cross-lingual Transformers by Ranasinghe, Tharindu, Orasan, Constantin, Mitkov, Ruslan

    Published 01-11-2020
    “…Recent years have seen big advances in the field of sentence-level quality estimation (QE), largely as a result of using neural-based architectures. However,…”
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  18. 18

    Fake or Real? A Study of Arabic Satirical Fake News by Saadany, Hadeel, Mohamed, Emad, Orasan, Constantin

    Published 01-11-2020
    “…Proceedings of the 3rd International Workshop on Rumours and Deception in Social Media (RDSM) 2020 One very common type of fake news is satire which comes in a…”
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  19. 19

    TransQuest at WMT2020: Sentence-Level Direct Assessment by Ranasinghe, Tharindu, Orasan, Constantin, Mitkov, Ruslan

    Published 11-10-2020
    “…This paper presents the team TransQuest's participation in Sentence-Level Direct Assessment shared task in WMT 2020. We introduce a simple QE framework based…”
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  20. 20

    Biographical: A Semi-Supervised Relation Extraction Dataset by Plum, Alistair, Ranasinghe, Tharindu, Jones, Spencer, Orasan, Constantin, Mitkov, Ruslan

    Published 02-05-2022
    “…Extracting biographical information from online documents is a popular research topic among the information extraction (IE) community. Various natural language…”
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