1.

Record Nr.

UNINA9910494565503321

Titolo

Researching metaphor in the Ancient Near East  / / edited by Marta Pallavidini and Ludovico Portuese

Pubbl/distr/stampa

Wiesbaden : , : Harrassowitz Verlag, , 2020

ISBN

3-447-39022-0

Descrizione fisica

1 online resource (213 pages)

Collana

Philippika ; ; 141

Disciplina

808.032

Soggetti

Ugaritic language - Figures of speech

Ugaritic language

Hittite language

Akkadian language - Figures of speech

Sumerian language - Figures of speech

Metaphor in literature

Assyro-Babylonian literature - History and criticism

Sumerian literature - History and criticism

Metaphor - Social aspects

Metaphor - Social aspects - Middle East - History - To 1500

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Researching metaphor in the Ancient Near East : an introduction / Ludovico Portuese and Marta Pallavidini -- The lion, the shepherd, and the master of animals : metaphorical interactions and governance representations in Mesopotamian and Levantine sources / Stéphanie Anthonioz -- To serve woman : Jezebel, Anat, and the metaphor of women as food / Esther Brownsmith -- Visualizing 'death' (Môtu) in the Ugaritic texts / Joseph Lam -- Aššur is King! : The metaphorical implications of embodiment, personification, and transference in ancient Assyria / Davide Nadali -- How did they think? : towards use of metaphor theories to research the Hittite conceptual world -- Cows of battle, urinating lions, and frightened falcons : on metaphor in Sumerian literary compositions / Judith Pfitzner -- Live and let live images : metaphor and interpictoriality in neo-Assyrian art / Ludovico



Portuese -- The significance of the embrace metaphor in the inscription KARKAMIŠ A 21 / Claudia Posani -- Metaphors and conceptual metaphors in the Mesopotamian medical texts / Silvia Salin -- Metaphor for the construction of spontaneous meaning : examples gathered from the rural landscape in Sumerian literature / Nelson Henrique da Silva Ferreira -- "Squeezing" like oil from a sesame seed : on the conceptual background of metaphoric expressions in Akkadian diplomatic texts originating from Ḫatti / Lisa Wilhelmi.

2.

Record Nr.

UNINA9910299851603321

Autore

Yu Dong

Titolo

Automatic Speech Recognition : A Deep Learning Approach / / by Dong Yu, Li Deng

Pubbl/distr/stampa

London : , : Springer London : , : Imprint : Springer, , 2015

ISBN

1-4471-5779-6

Edizione

[1st ed. 2015.]

Descrizione fisica

1 online resource (329 p.)

Collana

Signals and Communication Technology, , 1860-4862

Disciplina

006.454

Soggetti

Signal processing

Image processing

Speech processing systems

Acoustical engineering

Application software

Signal, Image and Speech Processing

Engineering Acoustics

Computer Appl. in Social and Behavioral Sciences

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Section 1: Automatic speech recognition: Background -- Feature extraction: basic frontend -- Acoustic model: Gaussian mixture hidden Markov model -- Language model: stochastic N-gram -- Historical reviews of speech recognition research: 1st, 2nd, 3rd, 3.5th, and 4th generations -- Section 2: Advanced feature extraction and transformation -- Unsupervised feature extraction -- Discriminative feature transformation -- Section 3: Advanced acoustic modeling --



Conditional random field (CRF) and hidden conditional random field (HCRF) -- Deep-Structured CRF -- Semi-Markov conditional random field -- Deep stacking models -- Deep neural network – hidden Markov hybrid model -- Section 4: Advanced language modeling -- Discriminative Language model -- Log-linear language model -- Neural network language model.

Sommario/riassunto

This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.