In this paper, we introduce the Lefff, a freely available, accurate and large-coverage
morphological and syntactic lexicon for French, used in many NLP tools such as large …

Within STEM domains, physics is considered to be one of the most difficult topics to master,
in part because many of the underlying principles are counter-intuitive. Effective teaching …

This paper surveys methods for annotation error detection and correction. Methods can
broadly be characterized as to whether they detect inconsistencies with respect to some …

Error mining is a useful technique for identifying forms that cause incomplete parses of
sentences. We extend the iterative method of Sagot and de la Clergerie (2006) to treat n …

In this paper, we describe the integration of Lexicon-Grammar tables for French verbs in the
large-coverage frmg parser and the evaluation of the resulting parser. This integration …

Because of the wide variety of contemporary practices used in the automatic syntactic
parsing of natural languages, it has become necessary to analyze and evaluate the …

In order to automatically extend a treebank of Old French (9 th-13 th c.) with new texts in Old
and Middle French (14 th-15 th c.), we need to adapt tools for syntactic annotation. However …

Résumé This paper introduces an novel lexicographic methodology whose goal is the
development of a reference syntactic lexicon for French. This methodology proposes to …

In recent years, error mining approaches were developed to help identify the most likely
sources of parsing failures in parsing systems using handcrafted grammars and lexicons …

We present some evaluation results for four French syntactic lexica, obtained through their
conversion to the Alexina format used by the Lefff lexicon (Sagot, 2010), and their integration …