stands for Digital Object Identifier
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.
Using DOI as a persistent link
To create a persistent link, add「http://dx.doi.org/」
before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: http://dx.doi.org/ 10.5297/ser.1201.002 。
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.
Cite a document with DOI
When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.
DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registration （ doi.airiti.com ） 。
蔡勝吉 , Masters Advisor：張智星
繁體中文 DOI： 10.6342/NTU.2015.02760
-  J. Tepperman and S. Narayanan., "Automatic Syllable Stress Detection Using Prosodic Features for Pronunciation Evaluation of Language Learners. ", In Proc. ICASSP, volume 1, pages 937–940, 2005.
-  Xie, H., Andreae, P., Zhang, M., Warren, P.", Detecting Stress In Spoken English Using Decision Trees And Support Vector Machines", Australian Computer Science Communications (Data Mining, CRPIT 32) 26: pp. 145-150, 2004.
-  A. Verma, K. Lal, Y. Y. Lo, and J. Basak, "Word Independent Model For Syllable Stress Evaluation", Proc. of the ICASSP, 2006.
-  L.-Y. Chen and J.-S. Jang, "Stress Detection of English Words for a CAPT System using Word-Length Dependent GMM-based Bayesian Classifiers," Interdisciplinary Information Sciences, vol. 18, no. 2, pp. 65-70, 2012.
-  Mostafa Ali Shahin, Beena Ahmed, Kirrie J. Ballard, "Automatic Classification Of Unequal Lexical Stress Patterns Using Machine Learning Algorithms", SLT, 2012.
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