This Research Work Is Concerned with the Problem of Developing a Framework for Telugu Cross

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8. CONCLUSION

This research work is concerned with the problem of developing a framework for Telugu cross language information retrieval. In particular, this research work is concerned with the problem of making use of bilingual ontologies and language grammar rules for Telugu information retrieval.

The problem we faced in the evaluation of CLIR using different approaches was that the retrieval performance may be affected by several factors: stemming, term segmentation, and retrieval models, for example. The results suggest that the language grammar based model led to much better retrieval performance than traditional methods.

The principal objective attained in this research work, as shown by our methodology and the results of our experiments, was the approach to cross language information retrieval for Telugu using the ontology and language grammar rules for query and content conversion.

The research work presented in this thesis has developed a new grammar rule based technique to process the user given queries. It leads to an improvement in CLIR effectiveness and can also be used to improve in retrieving of relevant information for given Telugu query.

In this research, we provided new ways to acquire linguistic resources using multilingual content on the web. These linguistic resources not only improve the efficiency and effectiveness of Telugu English cross-language Information retrieval but also have wider applications than CLIR. The focus for the future will be on designing strategies that can convert the full content in the retrieved results.

We evaluated the user acceptance of retrieval performance attained under using the rule based cross language information retrieval for Telugu using technology acceptance model.

Limitations and Future Work

The main focus of the work presented in this thesis was the investigation of our hypothesis for rule based cross language information retrieval for Telugu, namely that a CLIR for Telugu can perform better using bilingual ontologies and language grammar rules to convert user queries and content retrieved for the user given query than using classic dictionary translation approaches.

Content conversion is another issue. There is no gold standard or complete set of content in Telugu language, which implies that there is a need for content conversion mechanism for Telugu cross language information retrieval.

There is also a series of research aspects related to CLIR requiring further investigation, such as domain knowledge acquisition, complete conversion of the content represented by the snippets and the adaptation of the algorithm for mobile devices.

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