Advances in Natural Language Processing, Intelligent Informatics and Smart Technology Selected Revised Papers from the Eleventh International Symposium on Natural Language Processing (SNLP-2016) and the First Workshop in Intelligent Informatics and Smart Technology, 10-12 February 2016, Phranakhon, Si Ayutthaya, Thailand /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Theeramunkong, Thanaruk (Editor, http://id.loc.gov/vocabulary/relators/edt), Kongkachandra, Rachada (Editor, http://id.loc.gov/vocabulary/relators/edt), Supnithi, Thepchai (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Advances in Intelligent Systems and Computing, 684
• Subjects: Computational intelligence.; Artificial intelligence.; Computational linguistics.; Computational Intelligence.; Artificial Intelligence.; Computational Linguistics.

This book constitutes the thoroughly refereed proceedings of the Eleventh International Symposium on Natural Language Processing (SNLP-2016), held in Phranakhon Si Ayutthaya, Thailand on February 10-12, 2016. The SNLP promotes research in natural language processing and related fields, and provides...

Table of Contents:

• Semi-Automatic Framework for Generating RDF Dataset from Open Data
• Design for a Listening Learner Corpus for a Listenability Measurement Method
• The Effect of Automatic Tagging using Multilingual Metadata for Image Retrieval
• The NECTEC 2015 Thai Open-Domain Automatic Speech Recognition System
• Eye Region Detection in Fatigue Monitoring for the Military using AdaBoost Algorithm
• The Feature Extraction of ECG Signal in Myocardial Infarction Patients
• The Algorithm of Static Hand Gesture Recognition using Rule-Based Classification
• Medical Instructional Media in Human Body Systems using 3D Projection Mapping
• Development of Electromagnetic Wave Propagation in Microstrip Antenna using the Novel Finite Element Method
• Detection of Diabetic Retinopathy using Image Processing.