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Statistical Language and Speech Processing de Laurent Besacier

Statistical Language and Speech Processing: Lecture Notes in Computer Science, cartea 8791

Editat de Laurent Besacier, Adrian-Horia Dediu, Carlos Martín-Vide
en Limba Engleză Paperback – 12 sep 2014
This book constitutes the refereed proceedings of the Second International Conference on Statistical Language and Speech Processing, SLSP 2014, held in Grenoble, France, in October 2014. The 18 full papers presented together with three invited talks were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections on machine translation, speech and speaker recognition, machine learning methods, text extraction and categorization, and mining text.
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Specificații

ISBN-13: 9783319113968
ISBN-10: 3319113968
Pagini: 300
Ilustrații: XI, 285 p. 68 illus.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.46 kg
Ediția:2014
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Syntax and Data-to-Text Generation.- Spoken Language Processing: Time to Look Outside?.- Phonetics and Machine Learning: Hierarchical Modelling of Prosody in Statistical Speech Synthesis.- A Hybrid Approach to Compiling Bilingual Dictionaries of Medical Terms from Parallel Corpora.- Experiments with a PPM Compression-Based Method for English-Chinese Bilingual Sentence Alignment.- BiMEANT: Integrating Cross-Lingual and Monolingual Semantic Frame Similarities in the MEANT Semantic MT Evaluation Metric.- Robust Speaker Recognition Using MAP Estimation of Additive Noise in i-vectors Space.- Structured GMM Based on Unsupervised Clustering for Recognizing Adult and Child Speech.- Physiological and Cognitive Status Monitoring on the Base of Acoustic-Phonetic Speech Parameters.- Automatic Phonetic Transcription in Two Steps: Forced Alignment and Burst Detection.- Supervised Classification Using Balanced Training.- Exploring Multidimensional Continuous Feature Space to Extract Relevant Words.- Lazy and Eager Relational Learning Using Graph-Kernels.- Linear Co-occurrence Rate Networks (L-CRNs) for Sequence Labeling.- A Comparison of Sequence-Trained Deep Neural Networks and Recurrent Neural Networks Optical Modeling for Handwriting Recognition.- Probabilistic Anomaly Detection Method for Authorship Verification.- Measuring Global Similarity Between Texts.- Identifying and Clustering Relevant Terms in Clinical Records Using Unsupervised Methods.- Predicting Medical Roles in Online Health Fora.- Informal Mathematical Discourse Parsing with Conditional Random Fields.- Corpus-Based Information Extraction and Opinion Mining for the Restaurant Recommendation System.