Linguistic patterns-based translation for natural language interface
Semantic technology improves classical information retrieval by representing the information in a structured form and with notion of understanding. The querying process however requires formal language which could be challenging to novice users. The natural language interface research addresses this...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
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IEEE (IEEE Xplore)
2014
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| _version_ | 1796973473698938880 |
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| author | Mohd Sharef, Nurfadhlina Mohd Noah, Shahrul Azman |
| author_facet | Mohd Sharef, Nurfadhlina Mohd Noah, Shahrul Azman |
| author_sort | Mohd Sharef, Nurfadhlina |
| collection | UPM |
| description | Semantic technology improves classical information retrieval by representing the information in a structured form and with notion of understanding. The querying process however requires formal language which could be challenging to novice users. The natural language interface research addresses this issue by translating the user's question into the formal query. Existing studies have provided limited question understanding coverage due to limitation on single triple translation only. This paper addresses deeper understanding of semantic natural language through twelve linguistic patterns. The result has shown that the method manages to extract the linguistic expressions and aid the translation process. This concludes that wider linguistic coverage can be provided by higher linguistic expressions processing. |
| first_indexed | 2024-03-06T08:43:10Z |
| format | Conference or Workshop Item |
| id | upm.eprints-39101 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-03-06T08:43:10Z |
| publishDate | 2014 |
| publisher | IEEE (IEEE Xplore) |
| record_format | dspace |
| spelling | upm.eprints-391012015-07-13T04:53:30Z http://psasir.upm.edu.my/id/eprint/39101/ Linguistic patterns-based translation for natural language interface Mohd Sharef, Nurfadhlina Mohd Noah, Shahrul Azman Semantic technology improves classical information retrieval by representing the information in a structured form and with notion of understanding. The querying process however requires formal language which could be challenging to novice users. The natural language interface research addresses this issue by translating the user's question into the formal query. Existing studies have provided limited question understanding coverage due to limitation on single triple translation only. This paper addresses deeper understanding of semantic natural language through twelve linguistic patterns. The result has shown that the method manages to extract the linguistic expressions and aid the translation process. This concludes that wider linguistic coverage can be provided by higher linguistic expressions processing. IEEE (IEEE Xplore) 2014 Conference or Workshop Item NonPeerReviewed Mohd Sharef, Nurfadhlina and Mohd Noah, Shahrul Azman (2014) Linguistic patterns-based translation for natural language interface. In: 2014 International Conference on Information Science and Applications (ICISA), 6-9 May 2014, Seoul, Korea. (pp. 1-5). 10.1109/ICISA.2014.6847424 |
| spellingShingle | Mohd Sharef, Nurfadhlina Mohd Noah, Shahrul Azman Linguistic patterns-based translation for natural language interface |
| title | Linguistic patterns-based translation for natural language interface |
| title_full | Linguistic patterns-based translation for natural language interface |
| title_fullStr | Linguistic patterns-based translation for natural language interface |
| title_full_unstemmed | Linguistic patterns-based translation for natural language interface |
| title_short | Linguistic patterns-based translation for natural language interface |
| title_sort | linguistic patterns based translation for natural language interface |
| work_keys_str_mv | AT mohdsharefnurfadhlina linguisticpatternsbasedtranslationfornaturallanguageinterface AT mohdnoahshahrulazman linguisticpatternsbasedtranslationfornaturallanguageinterface |