Fiammetta Namer

Also published as: Fiametta Namer


2020

pdf bib
Glawinette: a Linguistically Motivated Derivational Description of French Acquired from GLAWI
Nabil Hathout | Franck Sajous | Basilio Calderone | Fiammetta Namer
Proceedings of the 12th Language Resources and Evaluation Conference

Glawinette is a derivational lexicon of French that will be used to feed the Démonette database. It has been created from the GLAWI machine readable dictionary. We collected couples of words from the definitions and the morphological sections of the dictionary and then selected the ones that form regular formal analogies and that instantiate frequent enough formal patterns. The graph structure of the morphological families has then been used to identify for each couple of lexemes derivational patterns that are close to the intuition of the morphologists.

pdf bib
Représentation sémantique des familles dérivationnelles au moyen de frames morphosémantiques (Semantic representation of derivational families by means of morphosemantic frames )
Daniele Sanacore | Nabil Hathout | Fiammetta Namer
Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 2 : Traitement Automatique des Langues Naturelles

L’article présente un formalisme de représentation des relations morphologiques dérivationnelles inspiré de la Sémantique des Frames. La description morphosémantique y est réalisée au niveau des familles dérivationnelles au moyen de frames morphosémantiques dans lesquels les lexèmes sont définis les uns relativement aux autres. Les frames morphosémantiques permettent de rendre compte de la structure paradigmatique du lexique morphologique par l’alignement des familles qui présentent les mêmes oppositions de sens. La seconde partie de l’article est consacrée aux données qui seront utilisées pour produire (semi-) automatiquement ces représentations.

2019

pdf bib
Demonette2 - Une base de données dérivationnelle du français à grande échelle : premiers résultats (Demonette2 – A large scale derivational database for French: first results)
Fiammetta Namer | Lucie Barque | Olivier Bonami | Pauline Haas | Nabil Hathout | Delphine Tribout
Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume II : Articles courts

Cet article présente la conception et le développement de Demonette2, une base de données dérivationnelle à grande échelle du français, développée dans le cadre du projet ANR Démonext (ANR-17-CE23-0005). L’article décrit les objectifs du projet, la structure de la base et expose les premiers résultats du projet, en mettant l’accent sur un enjeu crucial : la question du codage sémantique des entrées et des relations.

pdf bib
ParaDis and Démonette: From Theory to Resources for Derivational Paradigms
Fiammetta Namer | Nabil Hathout
Proceedings of the Second International Workshop on Resources and Tools for Derivational Morphology

pdf bib
Semantic descriptions of French derivational relations in a families-and-paradigms framework
Daniele Sanacore | Nabil Hathout | Fiammetta Namer
Proceedings of the Second International Workshop on Resources and Tools for Derivational Morphology

2016

pdf bib
Giving Lexical Resources a Second Life: Démonette, a Multi-sourced Morpho-semantic Network for French
Nabil Hathout | Fiammetta Namer
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

Démonette is a derivational morphological network designed for the description of French. Its original architecture enables its use as a formal framework for the description of morphological analyses and as a repository for existing lexicons. It is fed with a variety of resources, which all are already validated. The harmonization of their content into a unified format provides them a second life, in which they are enriched with new properties, provided these are deductible from their contents. Démonette is released under a Creative Commons license. It is usable for theoretical and descriptive research in morphology, as a source of experimental material for psycholinguistics, natural language processing (NLP) and information retrieval (IR), where it fills a gap, since French lacks a large-coverage derivational resources database. The article presents the integration of two existing lexicons into Démonette. The first is Verbaction, a lexicon of deverbal action nouns. The second is Lexeur, a database of agent nouns in -eur derived from verbs or from nouns.

2014

pdf bib
Démonette, a French derivational morpho-semantic network
Nabil Hathout | Fiammetta Namer
Linguistic Issues in Language Technology, Volume 11, 2014 - Theoretical and Computational Morphology: New Trends and Synergies

Démonette is a derivational morphological network created from information provided by two existing lexical resources, DériF and Morphonette. It features a formal architecture in which words are associated with semantic types and where morphological relations, labelled with concrete and abstract bi-oriented definitions, connect derived words with their base and indirectly related words with each other.

pdf bib
The Démonette Lexical Database: between Constructional Semantics and Word Formation (La base lexicale Démonette : entre sémantique constructionnelle et morphologie dérivationnelle) [in French]
Nabil Hathout | Fiammetta Namer
Proceedings of TALN 2014 (Volume 1: Long Papers)

2000

pdf bib
GéDériF: Automatic Generation and Analysis of Morphologically Constructed Lexical Resources
Fiammetta Namer | Georgette Dal
Proceedings of the Second International Conference on Language Resources and Evaluation (LREC’00)

1993

bib
A generic lexical model
Daniel Bachut | Isabelle Duquennoy | Lee Humphreys | Tita Kyriakopoulou | Anne Monceaux | Fiammetta Namer | Jean-Michel Ombrouck | Claire Perrey | Anne Poncet-Montange | Maria-Claudia Puerta | Caroline Raffy | Brigitte Roudaud | Simon Sabbagh
Third International EAMT Workshop: Machine Translation and the Lexicon

Linguistic engineering presupposes lexical resources. For translation, it is highly desirable that a Machine Translation engine and human translators should have access to the same dictionary information. The present paper describes a multilingual dictionary model, which integrates information for use by both humans and a variety of NLP systems. The model is used as a reference in the design of commercial translation products.

1989

pdf bib
Subject Erasing and Pronominalization in Italian Text Generation
Fiammetta Namer
Fourth Conference of the European Chapter of the Association for Computational Linguistics

1988

pdf bib
Morphology and cross dependencies in the synthesis of personal pronouns in Romance languages
Laurence Danlos | Fiametta Namer
Coling Budapest 1988 Volume 1: International Conference on Computational Linguistics