Statistical Language And Speech Processing
Download Statistical Language And Speech Processing full books in PDF, epub, and Kindle. Read online free Statistical Language And Speech Processing ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Carlos MartÃn-Vide |
| Publisher | : Springer Nature |
| Total Pages | : 326 |
| Release | : 2019-09-27 |
| Genre | : Computers |
| ISBN | : 3030313727 |
This book constitutes the proceedings of the 7th International Conference on Statistical Language and Speech Processing, SLSP 2019, held in Ljubljana, Slovenia, in October 2019. The 25 full papers presented together with one invited paper in this volume were carefully reviewed and selected from 48 submissions. They were organized in topical sections named: Dialogue and Spoken Language Understanding; Language Analysis and Generation; Speech Analysis and Synthesis; Speech Recognition; Text Analysis and Classification.
| Author | : Frederick Jelinek |
| Publisher | : MIT Press |
| Total Pages | : 307 |
| Release | : 2022-11-01 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 0262546604 |
This book reflects decades of important research on the mathematical foundations of speech recognition. It focuses on underlying statistical techniques such as hidden Markov models, decision trees, the expectation-maximization algorithm, information theoretic goodness criteria, maximum entropy probability estimation, parameter and data clustering, and smoothing of probability distributions. The author's goal is to present these principles clearly in the simplest setting, to show the advantages of self-organization from real data, and to enable the reader to apply the techniques. Bradford Books imprint
| Author | : Christopher Manning |
| Publisher | : MIT Press |
| Total Pages | : 719 |
| Release | : 1999-05-28 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 0262303795 |
Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.
| Author | : Steve Young |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 252 |
| Release | : 1997-02-28 |
| Genre | : Computers |
| ISBN | : 9780792344636 |
Corpus-based methods will be found at the heart of many language and speech processing systems. This book provides an in-depth introduction to these technologies through chapters describing basic statistical modeling techniques for language and speech, the use of Hidden Markov Models in continuous speech recognition, the development of dialogue systems, part-of-speech tagging and partial parsing, data-oriented parsing and n-gram language modeling. The book attempts to give both a clear overview of the main technologies used in language and speech processing, along with sufficient mathematics to understand the underlying principles. There is also an extensive bibliography to enable topics of interest to be pursued further. Overall, we believe that the book will give newcomers a solid introduction to the field and it will give existing practitioners a concise review of the principal technologies used in state-of-the-art language and speech processing systems. Corpus-Based Methods in Language and Speech Processing is an initiative of ELSNET, the European Network in Language and Speech. In its activities, ELSNET attaches great importance to the integration of language and speech, both in research and in education. The need for and the potential of this integration are well demonstrated by this publication.
| Author | : Eugene Charniak |
| Publisher | : MIT Press |
| Total Pages | : 196 |
| Release | : 1996 |
| Genre | : Computers |
| ISBN | : 9780262531412 |
This text introduces statistical language processing techniques--word tagging, parsing with probabilistic context free grammars, grammar induction, syntactic disambiguation, semantic word classes, word-sense disambiguation--along with the underlying mathematics and chapter exercises.
| Author | : Dan Jurafsky |
| Publisher | : Pearson Education India |
| Total Pages | : 912 |
| Release | : 2000-09 |
| Genre | : |
| ISBN | : 9788131716724 |
| Author | : Luis Espinosa-Anke |
| Publisher | : Springer Nature |
| Total Pages | : 119 |
| Release | : 2021-10-16 |
| Genre | : Computers |
| ISBN | : 3030895793 |
This book constitutes the proceedings of the 9th International Conference on Statistical Language and Speech Processing, SLSP 2021, held in Cardiff, UK, in November 2021. The 9 full papers presented in this volume were carefully reviewed and selected from 21 submissions. The papers present topics of either theoretical or applied interest discussing the employment of statistical models (including machine learning) within language and speech processing.
| Author | : Rainer E. Gruhn |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 118 |
| Release | : 2011-05-08 |
| Genre | : Technology & Engineering |
| ISBN | : 3642195865 |
In this work, the authors present a fully statistical approach to model non--native speakers' pronunciation. Second-language speakers pronounce words in multiple different ways compared to the native speakers. Those deviations, may it be phoneme substitutions, deletions or insertions, can be modelled automatically with the new method presented here. The methods is based on a discrete hidden Markov model as a word pronunciation model, initialized on a standard pronunciation dictionary. The implementation and functionality of the methodology has been proven and verified with a test set of non-native English in the regarding accent. The book is written for researchers with a professional interest in phonetics and automatic speech and speaker recognition.
| Author | : Nathalie Camelin |
| Publisher | : Springer |
| Total Pages | : 282 |
| Release | : 2017-10-09 |
| Genre | : Computers |
| ISBN | : 3319684566 |
This book constitutes the refereed proceedings of the 5th International Conference on Statistical Language and Speech Processing, SLSP 2017, held in Le Mans, France, in October 2017. The 21 full papers presented were carefully reviewed and selected from 39 submissions. The papers cover topics such as anaphora and conference resolution; authorship identification, plagiarism and spam filtering; computer-aided translation; corpora and language resources; data mining and semanticweb; information extraction; information retrieval; knowledge representation and ontologies; lexicons and dictionaries; machine translation; multimodal technologies; natural language understanding; neural representation of speech and language; opinion mining and sentiment analysis; parsing; part-of-speech tagging; question and answering systems; semantic role labeling; speaker identification and verification; speech and language generation; speech recognition; speech synthesis; speech transcription; speech correction; spoken dialogue systems; term extraction; text categorization; test summarization; user modeling. They are organized in the following sections: language and information extraction; post-processing and applications of automatic transcriptions; speech paralinguistics and synthesis; speech recognition: modeling and resources.
| Author | : Luis Espinosa-Anke |
| Publisher | : Springer Nature |
| Total Pages | : 188 |
| Release | : 2020-09-25 |
| Genre | : Computers |
| ISBN | : 3030594300 |
This book constitutes the proceedings of the 8th International Conference on Statistical Language and Speech Processing, SLSP 2020, held in Cardiff, UK, in October 2020. The 13 full papers presented together with one invited paper in this volume were carefully reviewed and selected from 25 submissions. They papers cover the wide spectrum of statistical methods that are currently in use in computational language or speech processing.
