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Supplemental materials for paper: The Critical Review to Practical Inquiries of Action Research Framework ...
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Repository of psychological instruments in Serbian [Repozitorijum psiholoških instrumenata na srpskom jeziku] (REPOPSI) ...
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The Lannang Corpus (LanCorp): A POS-tagged, sociolinguistic corpus containing recordings and transcriptions of Lannang speech collected from the metropolitan Manila Lannangs between 2016 and 2020 ...
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Common Phone: A Multilingual Dataset for Robust Acoustic Modelling ...
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Common Phone: A Multilingual Dataset for Robust Acoustic Modelling ...
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The Korsakow platform and nonlinear narratives as a means to enhance foreign language learning in HE
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Developing Teachers' Advocacy Skills for Multilingual Learners: An Examination of Advocacy in Simulated Environments and School Settings ...
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: University of Virginia, 2022
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К ВОПРОСУ О ЛИНГВИСТИЧЕСКОМ НЕРАВЕНСТВЕ В ПОЛИЛИНГВАЛЬНОМ ОБРАЗОВАТЕЛЬНОМ ПРОСТРАНСТВЕ ... : ON THE ISSUE OF LINGUISTIC INEQUALITY IN A MULTILINGUAL EDUCATIONAL ENVIRONMENT ...
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THE ROLE OF FACULTY LEADERS IN SUPPORTING ACADEMIC STAFF IN MULTILINGUAL EDUCATION PROGRAM ... : ҮШТІЛДІ БІЛІМ БЕРУ БАҒДАРЛАМАСЫ АЯСЫНДА ОҚЫТУШЫЛАРДЫ ҚОЛДАУДАҒЫ ФАКУЛЬТЕТ БАСШЫЛАРЫНЫҢ РӨЛІ ...
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Attention-Language Interface in Multilingual Assessment Instrument for Narratives (MAIN) ...
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Building MultiStories: A Framework to Diversify the Curriculum in Higher Education
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In: Other (2022)
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A Character String-Based Stemming for Morphologically Derivative Languages
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In: Information; Volume 13; Issue 4; Pages: 170 (2022)
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Cross-Lingual Transfer Learning for Arabic Task-Oriented Dialogue Systems Using Multilingual Transformer Model mT5
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In: Mathematics; Volume 10; Issue 5; Pages: 746 (2022)
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Abstract:
Due to the promising performance of pre-trained language models for task-oriented dialogue systems (DS) in English, some efforts to provide multilingual models for task-oriented DS in low-resource languages have emerged. These efforts still face a long-standing challenge due to the lack of high-quality data for these languages, especially Arabic. To circumvent the cost and time-intensive data collection and annotation, cross-lingual transfer learning can be used when few training data are available in the low-resource target language. Therefore, this study aims to explore the effectiveness of cross-lingual transfer learning in building an end-to-end Arabic task-oriented DS using the mT5 transformer model. We use the Arabic task-oriented dialogue dataset (Arabic-TOD) in the training and testing of the model. We present the cross-lingual transfer learning deployed with three different approaches: mSeq2Seq, Cross-lingual Pre-training (CPT), and Mixed-Language Pre-training (MLT). We obtain good results for our model compared to the literature for Chinese language using the same settings. Furthermore, cross-lingual transfer learning deployed with the MLT approach outperform the other two approaches. Finally, we show that our results can be improved by increasing the training dataset size.
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Keyword:
Arabic language; cross-lingual transfer learning; mixed-language pre-training; mT5; multilingual transformer model; natural language processing; task-oriented dialogue systems
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URL: https://doi.org/10.3390/math10050746
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Comparative Study of Multiclass Text Classification in Research Proposals Using Pretrained Language Models
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In: Applied Sciences; Volume 12; Issue 9; Pages: 4522 (2022)
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Methods, Models and Tools for Improving the Quality of Textual Annotations
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In: Modelling; Volume 3; Issue 2; Pages: 224-242 (2022)
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Indigenous Multilingual Education in Vhembe, South Africa
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In: Environmental Sciences Proceedings; Volume 15; Issue 1; Pages: 18 (2022)
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Do a Learner’s Background Languages Change with Increasing Exposure to L3? Comparing the Multilingual Phonological Development of Adolescents and Adults
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In: Languages; Volume 7; Issue 2; Pages: 78 (2022)
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