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008			230222s2023 sz | o |||| 0|eng d
020			_a9783031110351
024	7		_a10.1007/978-3-031-11035-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9 .N38 _b2023 EB
245	0	0	_aAnalysis and Application of Natural Language and Speech Processing _cedited by Mourad Abbas
250			_a1st ed 2023
264		1	_aCham _bSpringer International Publishing _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aSignals and Communication Technology _x1860-4870
505	0		_aChapter 1. ITAcotron 2: the Power of Transfer Learning in Expressive TTS Synthesis -- Chapter 2. Improving Automatic Speech Recognition for Non-Native English with Transfer Learning and Language Model Decoding -- Chapter 3. Kabyle ASR Phonological Error and Network Analysis -- Chapter 4. ALP: an Arabic Linguistic Pipeline -- Chapter 5. Arabic Anaphora Resolution System using New Features: Pronominal and Verbal cases -- Chapter 6. A Commonsense-enhanced Document-Grounded Conversational Agent: A Case Study on Task-based Dialogue -- Chapter 7. BloomQDE: Leveraging Bloom's Taxonomy for Question Difficulty Estimation -- Chapter 8. A Comparative Study on Language Models for Dravidian Languages -- Chapter 9. Arabic Named Entity Recognition with a CRF model based on Transformer Architecture -- Chapter 10. Static Fuzzy Bag-of-Words: Exploring Static Universe Matrices for Sentence Embeddings.
520			_aThis 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.
988			_aSpringer_Computer_2023
650		7	_2embne _9158738 _aProceso en lenguaje natural (Informática)
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-11035-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2024 _dz _eb _zSI