The text analysis using computational linguistics tools service area in the ADL-CITSRD
has researchers with expertise in text and discourse comprehension methods. The primary
goal of this area is to provide services to organizations and researchers on the readability
and comprehension of written information. These services include analyzing written
content (e.g. WebPages, brochures or questionnaires) and offering recommendations
for making the content more comprehendible to a target audience.
Typical Text Analysis using Computational Linguistics Tools
- A typical use of the computational linguistic tools for text analysis would of an
evaluation and a recommendation phase. The evaluation phase measures:
- Comprehension: How well should the target audience understand the current materials?
- Based on the evaluation of the data in the evaluation stage, recommendations can be
made for improving the textual content. Recommendations can be made on improving comprehension
in areas such as reading level, text cohesion, and question quality.
- Reading level: Identify the current reading level of the text along with recommendations
for adjusting the text to the reading level of specific audiences.
- Text cohesion: Identify overall cohesion of the text and identify gaps in cohesion
within the text
- Question quality: Flags potential problems in questions and provided feedback to improve
the wording, syntax, and semantics of the questions.
|The ADL-CITSRD is located in the FedEx Institute of Technology (FIT) on the campus of the University of Memphis. Researchers associated with the center are faculty, researchers, post-doctoral fellows, and advanced graduate students in the Institute for Intelligent Systems (IIS). The center researchers have extensive experience in research, development, and evaluation of advanced learning environments.