Constructing a consensus problem space from extensive qualitative data for an ill-structured real-life problem and expressing the result to a broader audience is challenging. To effectively communicate a complex problem space, visualization of that problem space must elucidate inter-causal relationships among the problem variables. In this…

Internet search engines have empowered citizens in their quest for seeking insights on a multitude of issues. Knowledge curation and evidence review requires systematic and rigorous fact-finding, baseline subject matter expertise, and the right tool to work at scale. Finding and summarizing knowledge has a direct impact on the research and…

Corpus analysis methods have been widely employed in literary translation research by numerous scholars. However, their integration into literary translation training has yet to be developed. With the advancement of AI technology, this paper explores the potential of employing AI-enhanced corpus text analysis and text mining techniques in this…

Law enforcement agencies in Brazil communicate with each other using documents formalized in a language predominantly written in pure text. However, postmodern criminal organizations play complex roles, making it difficult to describe their actions using only text. Visual memory is relevant to learning and thus should be applied. Learning about…

Question answering systems have frequently been explored for educational use. However, their value was somewhat limited due to the quality of the answers returned to the student. Recent question answering (QA) research has started to incorporate deep natural language processing (NLP) in order to improve these answers. However, current NLP…

Technologies used for the study of speech are classified here into non-intrusive and intrusive. The paper informs on current non-intrusive technologies that are used for linguistic investigations of the speech signal, both phonological and phonetic. Providing a point of reference, the review covers existing technological advances in language…

The concept of learning objects has been applied in the e-learning field to promote the accessibility, reusability, and interoperability of learning content. Learning Object Metadata (LOM) was developed to achieve these goals by describing learning objects in order to provide meaningful metadata. Unfortunately, the conventional LOM lacks the…

The objective of this article is to illustrate that text mining and qualitative research are epistemologically compatible. First, like many qualitative research approaches, such as grounded theory, text mining encourages open-mindedness and discourages preconceptions. Contrary to the popular belief that text mining is a linear and fully automated…

This paper introduces Ontoolsearch, a new search system that can be employed by educators in order to find suitable tools for supporting collaborative learning settings. Current tool search facilities commonly allow simple keyword searches, limiting the accuracy of obtained results. In contrast, Ontoolsearch supports semantic querying of tool…

Evaluates the current state of natural language processing information retrieval systems from the user's point of view, focusing on the structure and components of the systems' help mechanisms. Topics include user/system interaction; semantic parsing; syntactic parsing; semantic mapping; and concept matching. (Author/LRW)

Machine-Readable Dictionaries (MRD) and Machine Translation (MT) systems are important resources for query translation in Cross-Language Information Retrieval (CLIR). Investigates use of MT systems and MRD to Arabic-English and English-Arabic CLIR. Translation ambiguity is the key problem. Presents three methods of query translation using a…

Compares two natural language processing search engines, WIN (WESTLAW Is Natural) and FREESTYLE, developed by LEXIS. Legal issues in natural language queries were presented to identical libraries in both systems. Results showed that the editorials enhanced relevance; a search would be more thorough using both databases; and if only one system were…

Presents an overview of the second Text Retrieval Conference (TREC-2), an opinion paper about the program, and nine papers by participants that show a range of techniques used in TREC. Topics include traditional text retrieval and information technology, efficiency, the use of language processing techniques, unusual approaches to text retrieval,…

A model is proposed for the general abstracting process (using disciplines such as linguistics, logic, and psychology) that is based on a system of combined strategies with four stages: reading-understanding; selection; interpretation; synthesis. (Author/JKP)

Explains some major problems related to the subject indexing process and proposes semiotics as a framework for understanding the interpretive nature of the process. Explores the approach to studies of indexing and library and information science suggested by Fairthorne, Blair, Benediktsson, and others. Offers an explanation of what occurs in the…