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Machine Learning approaches for Topic and Sentiment Analysis in multilingual opinions and low-resource languages: From English to Guarani
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Investigating alignment interpretability for low-resource NMT
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In: ISSN: 0922-6567 ; EISSN: 1573-0573 ; Machine Translation ; https://hal.archives-ouvertes.fr/hal-03139744 ; Machine Translation, Springer Verlag, 2021, ⟨10.1007/s10590-020-09254-w⟩ (2021)
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A speech-enabled fixed-phrase translator for healthcare accessibility
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In: Proceedings of the 1st Workshop on NLP for Positive Impact (2021)
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Modeling phones, keywords, topics and intents in spoken languages
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Multilingual offensive language identification for low-resource languages
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In: 21 ; 1 (2021)
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Terminology-aware sentence mining for NMT domain adaptation: ADAPT’s submission to the Adap-MT 2020 English-to-Hindi AI translation shared task
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In: Haque, Rejwanul orcid:0000-0003-1680-0099 , Moslem, Yasmin orcid:0000-0003-4595-6877 and Way, Andy orcid:0000-0001-5736-5930 (2020) Terminology-aware sentence mining for NMT domain adaptation: ADAPT’s submission to the Adap-MT 2020 English-to-Hindi AI translation shared task. In: Workshop on Low Resource Domain Adaptation for Indic Machine Translation (Adap-MT 2020), 18-21 Dec 2020, Patna, India (Online). (In Press) (2020)
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Building a Universal Dependencies Treebank for Occitan
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In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) ; 12th Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02892715 ; 12th Language Resources and Evaluation Conference, May 2020, Marseille, France. pp.2932-2939 (2020)
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Findings of the LoResMT 2020 shared task on zero-shot for low-resource languages
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Advanced Convolutional Neural Network-Based Hybrid Acoustic Models for Low-Resource Speech Recognition
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In: Computers ; Volume 9 ; Issue 2 (2020)
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Towards Language Service Creation and Customization for Low-Resource Languages
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In: Information ; Volume 11 ; Issue 2 (2020)
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Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-resource Settings
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In: Interspeech 2019 ; https://hal.archives-ouvertes.fr/hal-02193867 ; Interspeech 2019, Sep 2019, Graz, Austria (2019)
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Cross-lingual parsing with polyglot training and multi-treebank learning: a Faroese case study
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In: Barry, James orcid:0000-0003-3051-585X , Wagner, Joachim orcid:0000-0002-8290-3849 and Foster, Jennifer orcid:0000-0002-7789-4853 (2019) Cross-lingual parsing with polyglot training and multi-treebank learning: a Faroese case study. In: The 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019), 3 - 5 Nov 2019, Hong Kong, China. ISBN 978-1-950737-78-9 (2019)
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Unsupervised word discovery for computational language documentation ; Découverte non-supervisée de mots pour outiller la linguistique de terrain
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In: https://tel.archives-ouvertes.fr/tel-02286425 ; Artificial Intelligence [cs.AI]. Université Paris Saclay (COmUE), 2019. English. ⟨NNT : 2019SACLS062⟩ (2019)
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Crowdsourcing the Paldaruo Speech Corpus of Welsh for Speech Technology
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In: Information ; Volume 10 ; Issue 8 (2019)
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Constructing Uyghur Commonsense Knowledge Base by Knowledge Projection
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In: Applied Sciences ; Volume 9 ; Issue 16 (2019)
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The Usefulness of Imperfect Speech Data for ASR Development in Low-Resource Languages
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In: Information ; Volume 10 ; Issue 9 (2019)
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Improving Semantic Similarity with Cross-Lingual Resources: A Study in Bangla—A Low Resourced Language
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In: Informatics ; Volume 6 ; Issue 2 (2019)
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Adapting NMT to caption translation in Wikimedia Commons for low-resource languages ; Adaptando NMT a la traducción de pies de imagen en Wikimedia Commons para idiomas con pocos recursos
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Filtering of Noisy Parallel Corpora Based on Hypothesis Generation
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