We present here an automated identification of proper name antonomasia in tagged texts. First, we compare manual and computed identification, describing the system's cogs as well as the methods and tools we used ; we point out that the automated process is better concerning reliability.After having exposed how capabilities and limits of automated location can influence linguistic work, we compare this rather old (2000) work with new tools now usable by linguists, e.g. the query ability on a subset of tagged texts in the Frantext database.

This paper is related with a collective linguistic research project about the word and its gloss. Just like definitions, glosses catch 'the spoken experience of the meaning'. In French texts, this metalinguistic activity appears in words such as c'est-à-dire, ou, signifier. These signs can clarify the nature of the semantical relationship between two words: specification with au sens, equivalency with ou, c'est-à-dire, nomination with dit, baptisé, hyponymy with en particulier, comme, hyperonymy with et/ou autre(s), etc. Glosses can be automatically located because of both their marks and the features of their configurations. This paper describes an automatical retriever implementation, using 'ou glosses' as 'un magazine électronique, ou webzine' and a data-processing environment 'for linguists', namely the textual base Frantext and its Stella query language interpreter.

Two approaches to the development of medieval text corpora can be distinguished among the projects carried out since a few decades. The first one consists of digitizing modern critical editions, and the second one is concerned with the production of precise diplomatic transcriptions of manuscripts, often directly linked to the photographs of the originals. These approaches are in fact complementary rather than contradictory, as they make it possible for scholars to choose between the quantity (representativeness) and the quality (accuracy and richness) of the data depending on the goals of their research. For both types of corpora, the challenges of their XML-TEI encoding related to the tools of their processing and analyzing are considered. Many methodological problems which arise from creating and processing medieval text corpora also concern other types of linguistic corpora.