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    Arcan, Mihael (44)
    Buitelaar, Paul (25)McCrae, John P. (11)Popovic, Maja (6)Chakravarthi, Bharathi Raja (5)... View MoreSubjectMachine translation (9)Translation (5)Languages (3)Machine Translation (3)Statistical Machine Translation (3)... View MoreDate Issued2020 (5)2019 (6)2018 (6)2017 (1)2016 (10)TypeConference Paper (34)Workshop paper (8)Article (1)Conference Poster (1)

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    MixedEmotions: An open-source toolbox for multi-modal emotion analysis 

    Buitelaar, Paul; Wood, Ian D.; Negi, Sapna; Arcan, Mihael; McCrae, John P.; Abele, Andrejs; Robin, Cécile; Andryushechkin, Vladimir; Ziad, Housam; Sagha, Hesam; Schmitt, Maximilian; Schuller, Björn W.; Sánchez-Rada, J. Fernando; Iglesias, Carlos A.; Navarro, Carlos; Giefer, Andreas; Heise, Nicolaus; Masucci, Vincenzo; Danza, Francesco A.; Caterino, Ciro; Smrž, Pavel; Hradiš, Michal; Povolný, Filip; Klimeš, Marek; Matějka, Pavel; Tummarello, Giovanni (IEEE, 2018-01-25)
    Recently, there is an increasing tendency to embed the functionality of recognizing emotions from the user generated contents, to infer richer profile about the users or contents, that can be used for various automated ...
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    Language related issues for machine translation between closely related south Slavic languages 

    Popovic, Maja; Arcan, Mihael; Klubicka, Filip (The COLING 2016 Organizing Committee, 2016-12-12)
    Machine translation between closely related languages is less challenging and exhibits a smaller number of translation errors than translation between distant languages, but there are still obstacles which should be ...
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    First insights on a passive major depressive disorder prediction system with incorporated conversational chatbot 

    Delahunty, Fionn; Wood, Ian D.; Arcan, Mihael (AICS 2018 and CEUR-WS.org, 2018-12-06)
    Almost 50% of cases of major depressive disorder go undiagnosed. In this paper, we propose a passive diagnostic system that combines the areas of clinical psychology, machine learning and conversational dialogue systems. ...
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    Potential and limits of using post-edits as reference translations for MT evaluation 

    Popovic, Maja; Arcan, Mihael; Lommel, Arle (Vilnius University, University of Latvia, Latvia University of Agriculture, Institute of Mathematics and Informatics of University of Latvia, 2016-05-30)
    This work investigates the potential use of post-edited machine translation (MT) outputs as reference translations for automatic machine translation evaluation, focusing mainly on the following important question: Is it ...
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    Inferring translation candidates for multilingual dictionary generation with multi-way neural machine translation 

    Arcan, Mihael; Torregrosa, Daniel; Ahmadi, Sina; McCrae, John P. (National University of Ireland, Galway, 2019-05-20)
    In the widely-connected digital world, multilingual lexical resources are one of the most important resources, for natural language processing applications, including information retrieval, question answering or knowledge ...
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    Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models 

    Torregrosa, Daniel; Pasricha, Nivranshu; Chakravarth, Bharathi Raja; Masoud, Maraim; Alonso, Juan; Casas, Noe; Arcan, Mihael (NUI Galway, 2019-08-19)
    Rule-based machine translation is a machine translation paradigm where linguistic knowledge is encoded by an expert in the form of rules that translate from source to target language. While this approach grants total ...
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    Expanding wordnets to new languages with multilingual sense disambiguation 

    Arcan, Mihael; McCrae, John P.; Buitelaar, Paul (The COLING 2016 Organizing Committee, 2016-12-11)
    Princeton WordNet is one of the most important resources for natural language processing, but is only available for English. While it has been translated using the expand approach to many other languages, this is an ...
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    Linking knowledge graphs across languages with semantic similarity and machine translation 

    McCrae, John P.; Arcan, Mihael; Buitelaar, Paul (MLP 2017, 2017-09-04)
    Knowledge graphs and ontologies underpin many natural language processing applications, and to apply these to new languages, these knowledge graphs must be translated. Up until now, this has been achieved either by direct ...
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    IRIS: English-Irish machine translation system 

    Arcan, Mihael; Lane, Caoilfhionn; Ó Droighneáin, Eoin; Buitelaar, Paul (European Language Resources Association, 2016-05-23)
    We describe IRIS, a statistical machine translation (SMT) system for translating from English into Irish and vice versa. Since Irish is considered an under-resourced language with a limited amount of machine-readable text, ...
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    The ESSOT system goes wild: an easy way for translating ontologies 

    Arcan, Mihael; Dragoni, Mauro; Buitelaar, Paul (CEUR-WS.org, 2016-10-17)
    To enable knowledge access across languages, ontologies that are often represented only in English, need to be translated into different languages. This activity is time consuming, therefore, smart solutions are required ...
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