DOA- Dissertation online
WHAT IS DISSERTATION
The online databases subsribed by TSL libraries:
E.g:
The summary of articles related to CALL from the online databases.
First article
http://web.ebscohost.com.www.ezplib.ukm.my/ehost/pdf?vid=8&hid=16&sid=3e347fc3-930e-406e-acf8-cab715a38d5c%40sessionmgr9
a) the effect of the intelligent features of the system on the learning outcome of students.
b) the system's ability to provide individualized support to students that leads to more effective use of the system.
c) the general usability and friendliness of the ICALL.
To achieve this, they conducted an empirical study, where they compared the intelligent system with a non-intelligent version of it. The results of the study revealed that the students of the Web-based ICALL had gained more knowledge of the domain and had been able to interact with the system more effectively as compared to the students that had used the non-intelligent version of the system. However, the students of the intelligent version of the system found it more difficult and they needed more time to get acquainted with the system in comparison to the students of the non-intelligent system.
Different to most current practice and to the explicit comments of some practitioners, natural language processing (NLP) can now play a valuable role in computer-assisted language learning (CALL). This article discusses the position of NLP within CALL using GLOSSER as an example. GLOSSER is an intelligent assistant for Dutch students learning to read in French. It has been fully implemented and tested, and it offers information on approximately 30,000 different words (or rather: lexemes), which may be taken from any text (no special preparation is required). The assistance takes the form of:
•information on the grammatical meaning of morphology.
•entries in a bilingual dictionary.
•examples of word use taken from over one million words of text (including some bilingual text).
The application has received a warm welcome in user-studies, and has been found a useful tool by students. It relies essentially on lemmatization, part-of-speech (POS) disambiguation, lexeme indexing, and bilingual text alignment–all elements of NLP technology.
These are the examples of articles that i did read from EBSCOHost online database.
- It is a long essay on a particular subject, esp one written for a doctorate or similar degree; thesis (Barron).
- It is also known as an extended usually written treatment of a subject; specifically: one submitted for a doctorate.
The online databases subsribed by TSL libraries:
E.g:
- EBSCOHost
- Lisa Net
- EnvironetBASE
- JSTOR
- Mastic
- SCOPUS
- Datastream Advanced
- Emerland Fulltext
The summary of articles related to CALL from the online databases.
First article
http://web.ebscohost.com.www.ezplib.ukm.my/ehost/pdf?vid=8&hid=16&sid=3e347fc3-930e-406e-acf8-cab715a38d5c%40sessionmgr9
a) the effect of the intelligent features of the system on the learning outcome of students.
b) the system's ability to provide individualized support to students that leads to more effective use of the system.
c) the general usability and friendliness of the ICALL.
To achieve this, they conducted an empirical study, where they compared the intelligent system with a non-intelligent version of it. The results of the study revealed that the students of the Web-based ICALL had gained more knowledge of the domain and had been able to interact with the system more effectively as compared to the students that had used the non-intelligent version of the system. However, the students of the intelligent version of the system found it more difficult and they needed more time to get acquainted with the system in comparison to the students of the non-intelligent system.
Second article
Different to most current practice and to the explicit comments of some practitioners, natural language processing (NLP) can now play a valuable role in computer-assisted language learning (CALL). This article discusses the position of NLP within CALL using GLOSSER as an example. GLOSSER is an intelligent assistant for Dutch students learning to read in French. It has been fully implemented and tested, and it offers information on approximately 30,000 different words (or rather: lexemes), which may be taken from any text (no special preparation is required). The assistance takes the form of:
•information on the grammatical meaning of morphology.
•entries in a bilingual dictionary.
•examples of word use taken from over one million words of text (including some bilingual text).
The application has received a warm welcome in user-studies, and has been found a useful tool by students. It relies essentially on lemmatization, part-of-speech (POS) disambiguation, lexeme indexing, and bilingual text alignment–all elements of NLP technology.
These are the examples of articles that i did read from EBSCOHost online database.
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