We report on experiments in the application of standard techniques from NLP in the context of a language documentary project, making use of existing, freely available toolkits. Specifically, we explore the use of Finite-state Morphological Analysis, Maximum Entropy Part-of-Speech Tagging, and N-Gram Language Modeling.

Using a case example of the crowd-funded YouTube documentary The Smash Brothers, the study explores how digital game culture is represented in media. The units for a qualitative content analysis, as described by Krippendorf (2004), are defined through thematic distinction. The results refer to four major categories and compose digital game culture as a whole: game, gamer, gameplay and game comm...

Much of the work that is labeled ‘descriptive’ within linguistics comprises two activities, i.e. the collection of primary data and a (low-level) analysis of these data. These are indeed two separate activities as shown by the fact that the methods employed in each activity differ substantially. To date, the field concerned with the first activity — called ‘documentary linguistics’ here — has r...

Shot boundary detection is fundamental to video analysis since it segments a video into its basic components. This paper presents a comparison of several shot boundary detection techniques and their variations including color histogram, edge directions histogram and wavelet transformations statistics. The performance and ease of selecting good thresholds for these algorithms are evaluated based...

This article deals with the text mining activity applied to technological watch. We focus on the extraction process of association rules using a Galois lattice and relate our experimentation on a corpora. The corpus is composed of abstracts of scientific texts extracted from a documentary database. The interpretation of the results is based upon an analysis of the different levels of the lattic...