000 | 03868nam a22005895i 4500 | ||
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001 | 978-3-031-11035-1 | ||
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008 | 230222s2023 sz | s |||| 0|eng d | ||
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_a9783031110351 _9978-3-031-11035-1 |
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024 | 7 |
_a10.1007/978-3-031-11035-1 _2doi |
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_a621.382 _223 |
245 | 1 | 0 |
_aAnalysis and Application of Natural Language and Speech Processing _h[electronic resource] / _cedited by Mourad Abbas. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2023. |
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300 |
_aVIII, 214 p. 50 illus., 46 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aSignals and Communication Technology, _x1860-4870 |
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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. | ||
650 | 0 | _aSignal processing. | |
650 | 0 | _aNatural language processing (Computer science). | |
650 | 0 | _aComputational linguistics. | |
650 | 0 | _aSpeech processing systems. | |
650 | 1 | 4 | _aSignal, Speech and Image Processing. |
650 | 2 | 4 | _aNatural Language Processing (NLP). |
650 | 2 | 4 | _aComputational Linguistics. |
650 | 2 | 4 | _aSpeech and Audio Processing. |
700 | 1 |
_aAbbas, Mourad. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031110344 |
776 | 0 | 8 |
_iPrinted edition: _z9783031110368 |
776 | 0 | 8 |
_iPrinted edition: _z9783031110375 |
830 | 0 |
_aSignals and Communication Technology, _x1860-4870 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-11035-1 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
_c175629 _d175629 |