This paper aims at modeling the structure of theater reviews based on contemporary London performances by using text zoning. Text zoning consists in tagging sentences so as to reveal text structure. More than 40 000 theater reviews going from 2010 to 2020 were collected to analyze two different types of reception (journalistic vs digital). We present our annotation scheme and the classifiers used to perform the text zoning task, aiming at tagging reviews at the sentence level. We obtain the best results using the random forest algorithm, and show that this approach makes it possible to give a first insight of the similarities and differences between our two subcorpora.

In this paper, we describe OuPoCo, a system producing new sonnets by recombining verses from existing sonnets, following an idea that Queneau described in his book “Cent Mille Milliards de poèmes, Gallimard”, 1961. We propose to demonstrate different outputs of our implementation (a Web site, a Twitter bot and a specifically developed device, called ‘La Boîte à poésie’) based on a corpus of 19th century French poetry. Our goal is to make people interested in poetry again, by giving access to automatically produced sonnets through original and entertaining channels and devices.