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DaNLP: An open-source toolkit for Danish Natural Language Processing

Danlp: مجموعة أدوات مفتوحة المصدر لمعالجة اللغة الطبيعية الدنماركية

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 Publication date 2021
and research's language is English
 Created by Shamra Editor




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We present an open-source toolkit for Danish Natural Language Processing, enabling easy access to Danish NLP's latest advancements. The toolkit features wrapper-functions for loading models and datasets in a unified way using third-party NLP frameworks. The toolkit is developed to enhance community building, understanding the need from industry and knowledge sharing. As an example of this, we present Angry Tweets: An Annotation Game to create awareness of Danish NLP and create a new sentiment-annotated dataset.



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In this paper we present a new Massive Open Online Course on Natural Language Processing, targeted at non-English speaking students. The course lasts 12 weeks, every week consists of lectures, practical sessions and quiz assigments. Three weeks out o f 12 are followed by Kaggle-style coding assigments. Our course intents to serve multiple purposes: (i) familirize students with the core concepts and methods in NLP, such as language modelling or word or sentence representations, (ii) show that recent advances, including pre-trained Transformer-based models, are build upon these concepts; (iii) to introduce architectures for most most demanded real-life applications, (iii) to develop practical skills to process texts in multiple languages. The course was prepared and recorded during 2020 and so far have received positive feedback.
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دراسة لعدة برمجيات مفتوحة المصدر لإدارة المكتبات الرقمية المستخدمة لاستيعاب المعلومات ونشرها الى الأشخاص الذين يحتاجونها.

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