TagBrowser provides a graphical interface into which the user types the required code symbol. Candidate results are shown in a list. When the user selects a candidate match, the file containing the symbol is displayed and the required symbol declaration is highlighted. The user can then optionally open the enclosing folder or open the file in a text editor. The actual extraction of the symbols from the source code is performed by the "Exuberant ctags" tool.
OpenHTMM is an implementation specifically designed to facilitate research into Hidden Topic Markov Models methods. Hidden Topic Markov Models (HTMM) is a method of analyzing a docyment by imposing a temporal Markov structure on the document. In this way, it is able to account for shifting topics within a document. In so doing, it provides a topic segmentation within the document and also seems to effectively distinguish among multiple senses that the same word may have in different contexts within the same document.