Titlebook: Analysis and Application of Natural Language and Speech Processing; Mourad Abbas Book 2023 The Editor(s) (if applicable) and The Author(s)

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https://doi.org/10.1007/978-3-030-93677-8on is usually encoded through embeddings that can be used to encode semantic information at different levels of granularity. In fact, through the years, not only models for word embeddings have been developed but also for sentence and documents. With this work, we address ., in particular the . ones

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Digital Satellite Communicationsstical features to identify the referent. The second objective is to create a specialized corpus for Arabic anaphora resolution which we’ve named ..C, in order to fill the gap of lack of resources. Using the AnATAr as a test corpus, our ..T system obtains an accuracy of 83.19% for pronominal anaphora and 57.23% for verbal anaphora.

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1860-4862 ology not only for resourced languages.For under-resourced l.This book presents recent advances in NLP and speech technology, a topic attracting increasing interest in a variety of fields through its myriad applications, such as the demand for speech guided touchless technology during the Covid-19 p

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A Comparative Study on Language Models for Dravidian Languages, accuracy on par with the current state of the art while being only a fraction of its size. Our models are released on the popular open-source platform HuggingFace. We hope that by publicly releasing our trained models, we will help in accelerating research and easing the effort involved in training embeddings for downstream tasks.

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Parameter Estimation and Synchronization,opose a novel architecture for commonsense-enhanced document-grounded conversational agents, demonstrating how to incorporate various sources to synergistically achieve new capabilities in dialogue systems. Finally, we discuss the implications of our work for future research in this area.

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