Analysis and Application of Natural Language and Speech Processing

ISBN-13: 9783031110344 / Angielski / Twarda / 2023 / 216 str.

Mourad Abbas

Opis

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.

Spis treści

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, Gábor 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 Köhler, 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

O autorze

 

Dr. Mourad Abbas is research director at High Council of Arabic. He taught courses in different schools and universities: signal processing, radio-engineering, operating systems. His research interests include the major issues related to natural language processing, in particular to Arabic language and its dialects. He is interested in Machine translation, Speech recognition, Language identification, Natural Language Understanding, Under-resourced Languages and more other topics.  Dr. Abbas published more than sixty papers, and co-edited proceedings of conferences and workshops (ICNLSP, NSURL) in Elsevier, ACL Anthology, IEEExplore. He reviewed for many journals as: Language Resources and Evaluation, Digital Signal Processing, Engineering Applications of Artificial Intelligence, and conferences as ICASSP, Interspeech, Coling, NAACL-HLT, etc. He founded the International Conference on Natural Language and Speech Processing, in 2015.