IANEC: Digital Forensic Investigation of Contemporary Writers' Archives

The IANEC project (Investigation of Digital Archives of Contemporary Writers), led by the GREYC Research Lab and funded by the French Ministry of Culture aims to develop dedicated digital forensic investigation tools to automate the analysis of archival corpora from the Institut M{é}moires de l'{É}dition Contemporaine (IMEC). The project is based on the observation that born-digital archival materials are increasingly prevalent in contemporary archival institutions, and that digital forensics technologies have become essential for the extraction, identification, processing, and description of natively digital archival corpora.*

Multilingual Sentence Categorization according to Language

In this paper, we describe an approach to sentence categorization which has the originality to be based on natural properties of languages with no training set dependency. The implementation is fast, small, robust and textual errors tolerant. Tested for french, english, spanish and german discrimination, the system gives very interesting results, achieving in one test 99.4% correct assignments on real sentences. The resolution power is based on grammatical words (not the most common words) and alphabet. Having the grammatical words and the alphabet of each language at its disposal, the system computes for each of them its likelihood to be selected. The name of the language having the optimum likelihood will tag the sentence --- but non resolved ambiguities will be maintained. We will discuss the reasons which lead us to use these linguistic facts and present several directions to improve the system's classification performance. Categorization sentences with linguistic properties shows that difficult problems have sometimes simple solutions.