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Author Qu Jian
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Add the result to your basket Make a suggestion Refine your search Apply to external sourcesSIU Thesis. Automated Transliteration of Proper Names from Somali to English / Ahmed Muktar Omar / Bangkok: Shinawatra University - 2017
Collection Title: SIU Thesis Title : Automated Transliteration of Proper Names from Somali to English Material Type: printed text Authors: Ahmed Muktar Omar, Author ; Jian Qu, Associated Name ; Aekavute Sujarae, Associated Name Publisher: Bangkok: Shinawatra University Publication Date: 2017 Pagination: vi, 62 p. Layout: ill, tables Size: 30 cm. Price: 500.00 General note: SIU THE: SOIT-MSIT-2017-01
Thesis. [MS [Information Technology]]. -- Shinawatra University, 2017Languages : English (eng) Descriptors: [LCSH]Language and languages
[LCSH]Machine translating
[LCSH]TranslationsKeywords: Somali-English,
Somali Transliteration Table,
Grapheme-BasedAbstract: Transliterating of proper names is the process of converting a word from source natural language (such as Somali) to a target natural language (such as English) while preserving pronunciation. Proper names and technical words are challenging in bilingual translation systems and also in Cross-Language Information Retrieval (CLIR) applications, due to their absence in the dictionary.
In this Thesis, we study transliteration problem of Somali to English; Somali-English transliteration is an under-studied problem. Our Somali-English transliteration system uses transliteration rules based on the orthographic mapping of the source language characters to the characters of the target language. We also propose Somali transliteration table that maps the Somali characters that don't have corresponding characters in English. Our language specific approach combines the direct mapping, Somali transliteration table along with the dependency rules which enhances and improves the transliteration accuracy.Curricular : BALA/BSCS/GE/MSIT/MTEIL Record link: http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=26775 SIU Thesis. Automated Transliteration of Proper Names from Somali to English [printed text] / Ahmed Muktar Omar, Author ; Jian Qu, Associated Name ; Aekavute Sujarae, Associated Name . - [S.l.] : Bangkok: Shinawatra University, 2017 . - vi, 62 p. : ill, tables ; 30 cm.
500.00
SIU THE: SOIT-MSIT-2017-01
Thesis. [MS [Information Technology]]. -- Shinawatra University, 2017
Languages : English (eng)
Descriptors: [LCSH]Language and languages
[LCSH]Machine translating
[LCSH]TranslationsKeywords: Somali-English,
Somali Transliteration Table,
Grapheme-BasedAbstract: Transliterating of proper names is the process of converting a word from source natural language (such as Somali) to a target natural language (such as English) while preserving pronunciation. Proper names and technical words are challenging in bilingual translation systems and also in Cross-Language Information Retrieval (CLIR) applications, due to their absence in the dictionary.
In this Thesis, we study transliteration problem of Somali to English; Somali-English transliteration is an under-studied problem. Our Somali-English transliteration system uses transliteration rules based on the orthographic mapping of the source language characters to the characters of the target language. We also propose Somali transliteration table that maps the Somali characters that don't have corresponding characters in English. Our language specific approach combines the direct mapping, Somali transliteration table along with the dependency rules which enhances and improves the transliteration accuracy.Curricular : BALA/BSCS/GE/MSIT/MTEIL Record link: http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=26775 Hold
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Barcode Call number Media type Location Section Status 32002000593374 SIU THE: SOIT-MSIT-2017-01 c.1 SIU Thesis and Dissertation Graduate Library Thesis Corner Available 32002000593408 SIU THE: SOIT-MSIT-2017-01 c.2 SIU Thesis and Dissertation Graduate Library Thesis Corner Available
Collection Title: SIU Thesis Title : Enabling Fuzzy Logic to Enhance Automatic Schema Matching Material Type: printed text Authors: Akarajit Tanjana, Author ; Jian Qu, Associated Name ; Aekavute Sujarae, Associated Name Publisher: Bangkok: Shinawatra University Publication Date: 2017 Pagination: vi, 87 p. Layout: ill, Tables Size: 30 cm. Price: 500.00 General note: SIU THE: SOST-MSIT-2017-02
Thesis. [SO [Science and Technology]]. -- Shinawatra University, 2017Languages : English (eng) Descriptors: [LCSH]Fuzzy logic Keywords: Schema Matching,
Fuzzy LogicAbstract: Automatic schema matching is a process to find correspondences among different data attributes from either databases or XML schemas. Since there is an inconsistency for naming attributes, the schema matching which is done by humans is the most practical; however, it is time-consuming and incurs great expense. Therefore, automatic schema matching process has been extensively studied in the past. Most works still face many challenges such as abbreviation, synonym, hypernym, and structural problems. Some existing works take schema name, instance, data type and schema description as internal resources while other works employ external resources, such as several online dictionaries and ontologies, to increase accuracy for schema matching.
In this paper, we address automatic matching problems by employing abbreviation, synonym, and hypernym lists; furthermore, we propose a novel structure similarity algorithm. Finally, we propose to use fuzzy logic, a novel fuzzy scoring algorithm to increase the accuracy of our system. As comparing our systems with existing works on open data; we find that our system outperforms existing works with an f-measure of 90%.Curricular : BSCS/MSIT Record link: http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=27511 SIU Thesis. Enabling Fuzzy Logic to Enhance Automatic Schema Matching [printed text] / Akarajit Tanjana, Author ; Jian Qu, Associated Name ; Aekavute Sujarae, Associated Name . - [S.l.] : Bangkok: Shinawatra University, 2017 . - vi, 87 p. : ill, Tables ; 30 cm.
500.00
SIU THE: SOST-MSIT-2017-02
Thesis. [SO [Science and Technology]]. -- Shinawatra University, 2017
Languages : English (eng)
Descriptors: [LCSH]Fuzzy logic Keywords: Schema Matching,
Fuzzy LogicAbstract: Automatic schema matching is a process to find correspondences among different data attributes from either databases or XML schemas. Since there is an inconsistency for naming attributes, the schema matching which is done by humans is the most practical; however, it is time-consuming and incurs great expense. Therefore, automatic schema matching process has been extensively studied in the past. Most works still face many challenges such as abbreviation, synonym, hypernym, and structural problems. Some existing works take schema name, instance, data type and schema description as internal resources while other works employ external resources, such as several online dictionaries and ontologies, to increase accuracy for schema matching.
In this paper, we address automatic matching problems by employing abbreviation, synonym, and hypernym lists; furthermore, we propose a novel structure similarity algorithm. Finally, we propose to use fuzzy logic, a novel fuzzy scoring algorithm to increase the accuracy of our system. As comparing our systems with existing works on open data; we find that our system outperforms existing works with an f-measure of 90%.Curricular : BSCS/MSIT Record link: http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=27511 Hold
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Barcode Call number Media type Location Section Status 32002000595957 SIU THE: SOST-MSIT-2017-02 c.1 SIU Thesis and Dissertation Graduate Library Thesis Corner Available 32002000595965 SIU THE: SOST-MSIT-2017-02 c.2 SIU Thesis and Dissertation Graduate Library Thesis Corner Available
