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Search Symbol (Half-width) Description of Search Symbols
Space "AND" indicates the intertwining of key terms used in a search
Double Quotation Marks ("") ( " " ) Double quotation marks indicate the beginning and end of a phrase, and the search will only include terms that appear in the same order of those within the quotations. Example: "image process" : " image process "
? Indicates a variable letter. Entering two ? will indicate two variable letters, and so on. Example: "Appl?", search results will yield apple, apply… e , appl y … ( (often used to English word searches) )
* Indicates an unlimited number of variable letters to follow, from 1~n. Example: Enter "appl*", search results will yield apple, apples, apply, applied, application…(often used in English word searches) e , appl es , appl y , appl ied , appl ication … ( (often used to English word searches) )

Boolean logic combinations of key words is a skill used to expand or refine search parameters.
(1) AND (1) AND: Refines search parameters
(2) OR (2) OR: Expands search parameters (3) NOT: Excludes irrelevant parameters


DOI stands for Digital Object Identifier ( D igital O bject I dentifier ) ,
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「」 「 」 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: 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 ) 。

Abstract 〈TOP〉
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Reference ( 54 ) 〈TOP〉
  1. [Aubert 2002] X. L. Aubert. “An Overview of Decoding Techniques for Large Vocabulary Continuous Speech Recognition,” Computer Speech and Language, January 2002.
  2. [Ball et al. 1967] G. H. Ball, and D. J. Hall. A Clustering Technique for Summarizing Multivariate Data. Behavioral Science, Volume 12, pages 153-155, 1967.
  3. [Bellegarda 2000] J. R. Bellegarda. Exploiting latent semantic information in statistical language modeling. Proceedings of the IEEE, Volume 88, pages 1279-1296, August 2000.
  4. [Bellegarda 2004] J. R. Bellegarda. Statistical language model adaptation: review and perspectives. Speech Communication, 42, 2004.
  5. [Bellegarda 2005] J. R. Dellegarda. Latent Semantic Mapping: Dimensionality Reduction via Globally Optimal Continuous Parameter Modeling. to appear in IEEE Signal Processing Magazine, September 2005.
Times Cited (6) 〈TOP〉
  1. 羅丞邑(2011)。以資料探勘之技術解決線上客語語音合成系統中多音字發音歧義之研究。中興大學資訊網路多媒體研究所學位論文。2011。1-87。 
  2. 廖振淵(2010)。利用粗糙集理論解決中文轉台語文轉音系統中一詞多音問題。中興大學資訊科學與工程學系所學位論文。2010。1-49。 
  3. 林金玉(2008)。中文轉台語文轉音系統中一詞多音之預測。中興大學資訊科學與工程學系所學位論文。2008。1-55。 
  4. 邱炫盛(2006)。利用主題與位置相關語言模型於中文連續語音辨識。臺灣師範大學資訊工程研究所學位論文。2006。1-147。
  5. 陳冠宇(2010)。主題模型於語音辨識使用之改進。臺灣師範大學資訊工程研究所學位論文。2010。1-175。
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