Analysis and application of natural language and speech processing /Mourad Abbas, editor

著者

    • Abbas, Mourad

書誌事項

Analysis and application of natural language and speech processing /Mourad Abbas, editor

(Signals and communication technology)

Springer, c2023

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注記

Includes bibliographical references (p. 208-211) and index

内容説明・目次

内容説明

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 pandemic. The authors present results of recent experimental research that provides contributions and solutions to different issues related to speech technology and speech in industry. Technologies include natural language processing, automatic speech recognition (for under-resourced dialects) and speech synthesis that are useful for applications such as intelligent virtual assistants, among others. Applications cover areas such as sentiment analysis and opinion mining, Arabic named entity recognition, and language modelling. This book is relevant for anyone interested in the latest in language and speech technology.

目次

ITAcotron 2: the Power of Transfer Learning in Expressive TTS Synthesis Anna Favaro, Licia Sbattella, Roberto Tedesco and Vincenzo Scotti Improving Automatic Speech Recognition for Non-Native English with Transfer Learning and Language Model Decoding Peter Sullivan, Toshiko Shibano, Muhammad Abdul-Mageed Kabyle ASR Phonological Error and Network Analysis Christopher Haberland and Ni Lao ALP: an Arabic Linguistic Pipeline Abed Alhakim Freihat, Gabor Bella, Mourad Abbas, Hamdy Mubarak and Fausto Giunchiglia Arabic Anaphora Resolution System using New Features: Pronominal and Verbal cases Abdelhalim Hafedh Dahou, Mohamed Abdelmoazz and Mohamed Amine Cheragui A Commonsense-enhanced Document-Grounded Conversational Agent: A Case Study on Task-based Dialogue Carl Strathearn and Dimitra Gkatzia BloomQDE: Leveraging Bloom's Taxonomy for Question Difficulty Estimation Sabine Ullrich, Amon Soares de Souza, Josua Koehler, Michaela Geierhos, A Comparative Study on Language Models for Dravidian Languages Rahul Raman, Danish Mohammed Ebadulla, Hridhay Kiran Shetty and Mamatha H.R. Arabic Named Entity Recognition with a CRF model based on Transformer Architecture Muhammad Al-Qurishi, Riad Souissi, and Sarah Al-Qaseemi Static Fuzzy Bag-of-Words: Exploring Static Universe Matrices for Sentence Embeddings Matteo Muffo, Roberto Tedesco, Licia Sbattella and Vincenzo Scotti

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