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Corpus Design and Extractive Speech Summarization for Low-Resource Languages delivers a comprehensive analysis of modern natural language processing and speech technology frameworks tailored for data-constrained linguistic environments. As automatic speech recognition and text summarization systems advance, building reliable computational models for languages lacking extensive annotated corpora remains a critical challenge. This monograph establishes the theoretical foundations, architectural strategies, and data engineering methodologies required to construct effective speech corpora and implement robust extractive summarization pipelines.
The text systematically covers acoustic and textual data collection protocols, phonetic alignment, data augmentation strategies, and noise reduction techniques for low-resource speech processing. It explores graph-based algorithms, neural sentence scoring, acoustic feature extraction, and salient phrase extraction designed to identify key informational units directly from spoken audio and under-annotated transcriptions. Designed for computational linguists, speech processing engineers, and natural language processing researchers, this volume provides the analytical tools needed to scale language technologies to under-represented global languages.
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Paperback. Condizione: new. Paperback. Corpus Design and Extractive Speech Summarization for Low-Resource Languages delivers a comprehensive analysis of modern natural language processing and speech technology frameworks tailored for data-constrained linguistic environments. As automatic speech recognition and text summarization systems advance, building reliable computational models for languages lacking extensive annotated corpora remains a critical challenge. This monograph establishes the theoretical foundations, architectural strategies, and data engineering methodologies required to construct effective speech corpora and implement robust extractive summarization pipelines.The text systematically covers acoustic and textual data collection protocols, phonetic alignment, data augmentation strategies, and noise reduction techniques for low-resource speech processing. It explores graph-based algorithms, neural sentence scoring, acoustic feature extraction, and salient phrase extraction designed to identify key informational units directly from spoken audio and under-annotated transcriptions. Designed for computational linguists, speech processing engineers, and natural language processing researchers, this volume provides the analytical tools needed to scale language technologies to under-represented global languages. A technical guide detailing speech corpus construction, acoustic data processing, and extractive summarization methodologies for low-resource computational linguistics. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798240863349
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Paperback. Condizione: new. Paperback. Corpus Design and Extractive Speech Summarization for Low-Resource Languages delivers a comprehensive analysis of modern natural language processing and speech technology frameworks tailored for data-constrained linguistic environments. As automatic speech recognition and text summarization systems advance, building reliable computational models for languages lacking extensive annotated corpora remains a critical challenge. This monograph establishes the theoretical foundations, architectural strategies, and data engineering methodologies required to construct effective speech corpora and implement robust extractive summarization pipelines.The text systematically covers acoustic and textual data collection protocols, phonetic alignment, data augmentation strategies, and noise reduction techniques for low-resource speech processing. It explores graph-based algorithms, neural sentence scoring, acoustic feature extraction, and salient phrase extraction designed to identify key informational units directly from spoken audio and under-annotated transcriptions. Designed for computational linguists, speech processing engineers, and natural language processing researchers, this volume provides the analytical tools needed to scale language technologies to under-represented global languages. A technical guide detailing speech corpus construction, acoustic data processing, and extractive summarization methodologies for low-resource computational linguistics. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9798240863349
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Corpus Design and Extractive Speech Summarization for Low-Resource Languages delivers a comprehensive analysis of modern natural language processing and speech technology frameworks tailored for data-constrained linguistic environments. As automatic speech recognition and text summarization systems advance, building reliable computational models for languages lacking extensive annotated corpora remains a critical challenge. This monograph establishes the theoretical foundations, architectural strategies, and data engineering methodologies required to construct effective speech corpora and implement robust extractive summarization pipelines.The text systematically covers acoustic and textual data collection protocols, phonetic alignment, data augmentation strategies, and noise reduction techniques for low-resource speech processing. It explores graph-based algorithms, neural sentence scoring, acoustic feature extraction, and salient phrase extraction designed to identify key informational units directly from spoken audio and under-annotated transcriptions. Designed for computational linguists, speech processing engineers, and natural language processing researchers, this volume provides the analytical tools needed to scale language technologies to under-represented global languages. Codice articolo 9798240863349
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Corpus Design and Extractive Speech Summarization for Low-Resource Languages delivers a comprehensive analysis of modern natural language processing and speech technology frameworks tailored for data-constrained linguistic environments. As automatic speech recognition and text summarization systems advance, building reliable computational models for languages lacking extensive annotated corpora remains a critical challenge. This monograph establishes the theoretical foundations, architectural strategies, and data engineering methodologies required to construct effective speech corpora and implement robust extractive summarization pipelines.The text systematically covers acoustic and textual data collection protocols, phonetic alignment, data augmentation strategies, and noise reduction techniques for low-resource speech processing. It explores graph-based algorithms, neural sentence scoring, acoustic feature extraction, and salient phrase extraction designed to identify key informational units directly from spoken audio and under-annotated transcriptions. Designed for computational linguists, speech processing engineers, and natural language processing researchers, this volume provides the analytical tools needed to scale language technologies to under-represented global languages. 194 pp. Englisch. Codice articolo 9798240863349
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Taschenbuch. Condizione: Neu. Corpus Design and Extractive Speech Summarization for Low- Resource Languages | Summer Henry | Taschenbuch | Englisch | 2026 | Beakers Bay | EAN 9798240863349 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Codice articolo 136460321
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