We describe a system for automatic chord transcription from the raw audio using genre-specific hidden Markov models trained on audio-from-symbolic data. In order to avoid enormous amount of human labor required to manually annotate the chord labels for ground-truth, we use symbolic data such as MIDI files to automate the labeling process. In parallel, we synthesize the same symbolic files to pr...

This thesis describes and analyzes implications of going from hypertext news to hypermedia news through a process of design, involving users and producers. As in any product development, it is difficult to conceive design of a novel news format that does not relate to earlier genres, and thus to antecedent designs. The hypothesis is that this problem can be addressed by explicitly taking a genr...

Considerable literature explores the contribution of genre teaching in English academic writing. The role of this approach in developing academic writing of Iranian EFL students, however, has been underresearched. This study investigated the implications of using this approach with a class of undergraduate students in Iran. The current study reports on the findings of a project which employed a...

In this paper, we explore complex network properties of word collocation networks (Ferret, 2002) from four different genres. Each document of a particular genre was converted into a network of words with word collocations as edges. We analyzed graphically and statistically how the global properties of these networks varied across different genres, and among different network types within the sa...