TTLV: Vietnamese language processing issues to improve search engine performance

MASTER'S THESIS INFORMATION

1. Student's full name: Nguyen Thi Minh Tam 2. Gender: Female

3. Date of birth: September 23, 1988

4. Place of birth: Bac Ninh

5. Decision on recognition of student 1883/2010/QD-XHNV-SDH dated October 21, 2010 of the President of the University of Social Sciences and Humanities, Vietnam National University, Hanoi

6. Changes in training process: No

7. Thesis topic: Vietnamese language processing issues to improve search engine performance

8. Major: Linguistics; Code: 60 22 01

9. Scientific advisor: Dr. Nguyen Ai Viet - Institute of Information Technology, Vietnam National University, Hanoi.

10. Summary of thesis results:

In theory:

• The thesis presents the concepts of language that need to be known in the process of natural language processing: concepts of words and word classes.
• The thesis provides an overview of language processing in search engines, and also raises issues in Vietnamese in improving search performance: labeling word parts, building dictionaries, indexing, etc.
• The thesis researches stop words (a new issue in Vietnam that has not been widely studied). In particular, the thesis delves into the nature of Vietnamese stop words and gives a universal definition for this concept.

On research practice:

• The thesis deals with the nature of Vietnamese stop words including: lexical nature, word type, and language independence.
• Based on the existing characteristics, we can establish a stop words table for Vietnamese.

11. Practical application: (if any)

- Initial construction of a theoretical framework on the nature of stop words.

- The thesis plays an important role in natural language processing especially in the indexing process for search systems.

12. Further research directions: (if any): Further study of Vietnamese language issues in natural language processing of search engines

13. Published works related to the thesis:

INFORMATION ON MASTER'S THESIS

1. Full name: Nguyen Thi Minh Tam 2. Sex: Female

3. Date of birth: September 23, 1988 4. Place of birth: Bac Ninh, Vietnam

5. Admission decision number: No. 1883/2010/QD-XHNV-SDH on October 21, 2010 by the Rector of University of Social Sciences and Humanities, Hanoi – Vietnam National University

6. Changes in academic process: None

7. Official thesis title: The Vietnamese problems in improving search efficiency

8. Major: Linguistics 9. Code: 60 22 01

10. Supervisors: Dr. Nguyen Ai Viet- Information Technology Institute- Vietnam National University, Hanoi.

11. Summary of the findings of the thesis: .............................................................

From theoretical point of view:

- The thesis has already presented the linguistic concepts which are necessary in the process of language processing: the concepts of word and TAGS.

- The thesis has given an overview of the language processing in the search engines, identifying the Vietnamese language related issues in the search efficiency improvement: POS tagging, dictionary building, indexing…

- The thesis pioneers reseach on the stop words (a new reseach direction in Vietnam which has not been studied scientifically). In particular, the thesis has discussed in dept the nature of the Vietnam stop words and attempeted to give a universal definition for this new concept.

From practical point of view:

- The thesis has addressed the nature of the Vietnamese stop words from different aspects including: the nature of words, POSTAG, the linguistic independence,…

- Based on the above characteristics, it is possible to set up the first theorized checked list of Vietnamese stop words

12. Practical applicability, if any: ...................................................................

- The initial theoretical framework of the future Vietnamese stop words studies.

- The thesis has contributed an important role in natural language processing especially in the indexing of the search systems.

13. Further research directions, if any: .............................................................

Learn more deep Vietnamese language related issues in the natural language processing search engines.

14. Thesis-related publications: ..........................................................................