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. 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.

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.