Seminaire: Alpage, Berthold Crysmann, 20/1/2012

Thierry Hamon thierry.hamon at UNIV-PARIS13.FR
Wed Jan 18 19:48:00 UTC 2012

Date: Tue, 17 Jan 2012 11:59:53 +0100
From: Benoit Crabbé <benoit.crabbe at>
Message-Id: <6FBC3107-2A3F-4A1E-9872-03583FF38C29 at>

************** Séminaire Alpage *******************

Séminaire de l'école doctorale de Paris 7

Il s'agit du séminaire de recherche en linguistique informatique
organisé par l'équipe Alpage, Alpage est une équipe mixte Inria -- Paris
7 qui centre ses intérêts scientifiques autour de l'analyse syntaxique
automatique et du traitement du discours pour la langue française.

Le prochain séminaire se tiendra vendredi 20 janvier  de 11.00 à 13.00
en salle 3E91 à l'UFRL, 175, rue du Chevaleret, 75013 Paris (3e étage)

Toute personne intéressée est la bienvenue.


Berthold Crysmann (LLF)

nous parlera de :

Grammar-based techniques for efficient surface generation with an HPSG
for German


In this talk I will present recent results on increasing generation
efficiency with GG, a large-scale HPSG for German.

Chart parsing with HPSG grammars such as the ERG has proven to be highly
efficient in practice, owing to a combination of different performance
measures, such as ambiguity factoring (packing), index filtering, and
selective unpacking (Oepen & Carroll 2005).
Generation efficiency with GG, however, has remained unsatisfactory
until very recently, arguably because of an increased level of local
ambiguity introduced by the non-configurational nature of German syntax:
in particular, variable verb placement, discontinuous verb clusters
(with local underspecification of valence information), free permutation
of arguments, free interspersal of modifiers, as well as case morphology
all contribute to a massively increased search space.

I shall present an overview of the current efficiency measures in HPSG
generation, followed by an in-depth analysis of the constructional
factors impeding efficient generation in German. In order to contain
some of the added local ambiguity, I suggest use a transfer grammar in
order to augment the input semantics with syntactic information that
will provide for a more informed search during the chart generation
process, while at the same time keeping the external semantic interface
to the generator free from syntactic information. I shall discuss the
individual syntactic features used and present some preliminary results
on generation efficiency.

Message diffuse par la liste Langage Naturel <LN at>
Informations, abonnement :
English version       : 
Archives                 :

La liste LN est parrainee par l'ATALA (Association pour le Traitement
Automatique des Langues)
Information et adhesion  :

More information about the Ln mailing list