Statistical Language and Speech Processing  Second International Conference, SLSP 2014, Grenoble, France, October 14-16, 2014, Proceedings /  [electronic resource] : 
edited by Laurent Besacier, Adrian-Horia Dediu, Carlos Martín-Vide. 
 - Cham :  Springer International Publishing,  2014. 
 - 1 online resource (XI, 285 p. 68 ill.) 
 - Lecture Notes in Computer Science,  8791  0302-9743 ; .
<br/><br/>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. 
<br/><br/><label>ISBN: </label>9783319113975 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer science.<br/>Data mining.<br/>Artificial intelligence.<br/>Pattern recognition.