Claude Martineau

Semantic and syntactic patterns of multiword names: A cross-language study

Named entities (NEs) constitute a great challenge for computational linguistics and one of the major research topics during the last decade. They can be divided in categories describing people, location, time, organization and others. In this paper we will restrict our discussion to proper names that belong to three main classes: personal, location and organization names, and that can be either single-word nouns or multiword expressions. First, we are going to define common (language-independent) semantic patterns for proper names and then we will present the corresponding syntactic patterns in English, Bulgarian, French, Greek, and Serbian. We will compare these patterns regarding grammatical categories of dependent constituents, definiteness, distribution of clitics, word order and various alternations. Our ultimate goal is to build a universal framework for Named Entity Recognition (NER).

P-leader multifractal analysis for text type identification

Among many research efforts devoted to automated art investigations, the problem of quantification of literary style remains current. Meanwhile, linguists and computer scientists have tried to sort out texts according to their types or authors. We use the recently-introduced p-leader multifractal formalism to analyze a corpus of novels written for adults and young adults, with the goal of assessing if a difference in style can be found. Our results agree with the interpretation that novels written for young adults largely follow conventions of the genre, whereas novels written for adults are less homogeneous.