A Review on Part-of-Speech Technologies

Developing an automatic part-of-speech (POS) tagging for any new language is considered a necessary step for further computational linguistics methodology beyond tagging, like chunking and parsing, to be fully applied to the language. Many POS disambiguation technologies have been developed for this type of research and there are factors that influence the choice of choosing one. This could be either corpus-based or non-corpus-based. In this paper, we present a review of POS tagging technologies.

Developing Smart Web-Search Using RegEx

Due to the increasing storage data on Web Applications, it becomes very difficult to use only keyword-based searches to provide comprehensive search results, thus increasing the difficulty for web users to search information on the web. In this paper, we proposed using a combined method of keyword-based and Regular expressions (regEx) searches to perform a search using strings of targeted items for optimal results even as the volume of data around the world on the Internet continues to explode. The idea is to embed regEx patterns as part of the search engine's algorithm in a web application project to provide strings related to the targeted items for more comprehensive coverage of search results. The user's search query is a string of characters guided by search boundaries selected from the entry point. The results returned from the search operation are different results within a category determined by the search boundaries. This is designed to be beneficial to a user who has an obscure idea about the information he/she wanted to search but knows the boundaries within which to get the information. This technique can be applied to data processing tasks such as information extraction and search refinement.