Chatchawal Sangkeettrakarn

A Collaborative Framework for Collecting Thai Unknown Words from the Web

We propose a collaborative framework for collecting Thai unknown words found on Web pages over the Internet. Our main goal is to design and construct a Web-based system which allows a group of interested users to participate in constructing a Thai unknown-word open dictionary. The proposed framework provides supporting algorithms and tools for automatically identifying and extracting unknown words from Web pages of given URLs. The system yields the result of unknown-word candidates which are presented to the users for verification. The approved unknown words could be combined with the set of existing words in the lexicon to improve the performance of many NLP tasks such as word segmentation, information retrieval and machine translation. Our framework includes word segmentation and morphological analysis modules for handling the non-segmenting characteristic of Thai written language. To take advantage of large available text resource on the Web, our unknown-word boundary identification approach is based on the statistical string pattern-matching algorithm.

Implementing an online help desk system based on conversational agent

Recently the demand for cost-effective solutions to the customer service problem has increased significantly. By delivering solutions automatically to the customers, an enterprise can essentially reduce their operating and training cost. In this paper, we present the design and implementation of an online help desk system based on conversational agent. Our system exploits the enabling technologies of artificial intelligence and natural language processing to offer an organization the ability to provide customer service much more economically and interactively than with traditional methods. The proposed system demonstrates a new form of e-service for an organization to increase their customer satisfaction and retention leading to competitive advantage over other organizations.

Finding Key Terms Representing Events from Thai Twitter

In the fast and big data era, we all desire to understand trend or big picture of a story instantly. This work wants to find an automatic approach to extract the good-enough key terms of each event appear in Thai Twitter society. The core idea is to help reducing time for human to do the key term extraction, yet the quality of such selected key terms are acceptable by human and is better than our previous implementation. Our studied approaches focus to work on Thai language and covered preprocessing, feature selections and weighting schemes on three Thai real tweet events with different characteristics. Our experiment comprise four main approaches and a number of hypothesis. Our findings confirm the usefulness of hashtag terms with five or more character length, the benefit of bigram with stop words and the importance of event characteristics. In fact, we conclude to use different approaches for different types of event. The performance and rational evaluations are done by statistical analysis, evaluators voting, and F-Score measurement and are confirmed to be better than previous work twice as much.

Managing offline educational web contents with search engine tools

In this paper, we describe our ongoing project to help alleviate the digital divide problem among high schools in rural areas of Thailand. The idea is to select, organize, index and distribute useful educational Web contents to schools where the Internet connection is not available. These Web contents can be used by teachers and students to enhance the teaching and learning for many class subjects. We have collaborated with a group of teachers from different high schools in order to gather the requirements for designing our software tools. One of the challenging issues is the variation in computer hardwares and network configuration found in different schools. Some shools have PCs connected to the schools server via the Local Area Network (LAN). While some other schools have low-performance PCs without any network connection. To support both cases, we provide two solutions via two different search engine tools. These tools support content administrators, e.g., teachers, with the features to organize and index the contents. The tools also provide general users with the features to browse and search for needed information. Since the contents and index are locally stored on hard disk or some removable media such as CD-ROM, the Internet connection is not needed.