Statistical Language and Speech Processing

Second International Conference, SLSP 2014, Grenoble, France, October 14-16, 2014, Proceedings

AvLaurent Besacier,Adrian-Horia Dediu

Häftad, Engelska, 2014

Del 8791 i serien Lecture Notes in Computer Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2014-09-12
Mått:155 x 235 x 17 mm
Vikt:458 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:285
Förlag:Springer International Publishing AG
ISBN:9783319113968

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

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.