Lexical choice as pattern matching

Nogier, Jean-Francois; Zock, Michael

doi:10.1016/0950-7051(92)90032-b

Cited by 24 publications

(18 citation statements)

References 44 publications

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“…1 Discrimination nets, or, the check list approach successful were discrimination nets (Goldman 1975) and graph-rewriting, i.e. pattern-matching (Nogier and Zock 1992).…”

Section: Related Work In the Area Of Natural-language Generationmentioning

confidence: 99%

Deliberate word access: an intuition, a roadmap and some preliminary empirical results

Zock

Ferret

Schwab

2010

Int J Speech Technol

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No doubt, words play a major role in language production, hence finding them is of vital importance, be it for writing or for speaking (spontaneous discourse production, simultaneous translation). Words are stored in a dictionary, and the general belief holds, the more entries the better. Yet, to be truly useful the resource should contain not only many entries and a lot of information concerning each one of them, but also adequate navigational means to reveal the stored information. Information access depends crucially on the organization of the data (words) and the access keys (meaning/form), two factors largely overlooked. We will present here some ideas of how an existing electronic dictionary could be enhanced to support a speaker/writer to find the word s/he is looking for. To this end we suggest to add to an existing electronic dictionary an index based on the notion of association, i.e. words co-occurring in a well balanced corpus, the latter being supposed to represent the average citizen's knowledge of the world. Before describing our approach, we will briefly take a critical look at

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“…1 Discrimination nets, or, the check list approach successful were discrimination nets (Goldman 1975) and graph-rewriting, i.e. pattern-matching (Nogier and Zock 1992).…”

Section: Related Work In the Area Of Natural-language Generationmentioning

confidence: 99%

Deliberate word access: an intuition, a roadmap and some preliminary empirical results

Zock

Ferret

Schwab

2010

Int J Speech Technol

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“…A similar approach to lexicalization as pattern matching is presented by Nogier and Zock [1992], who work with the formalism of conceptual graphs [Sowa 1984]. The matcher successively replaces sub-graphs of the conceptual representation with lexical items and thereby produces a new graph representing syntactic structure; thus, the task of the lexicon is to relate concepts to syntactic entities.…”

Section: Taxonomic Knowledge Bases and The Lexiconmentioning

confidence: 99%

“…Other proponents of linking words and concepts more flexibly were Horacek [1990a] and Nogier and Zock [1992]. However, they both map from concepts directly to syntactic objects, and thus the same criticism applies that was made above in discussing KING: Neglecting the role of lexical semantics, and not granting it a separate level of description misses generalizations that can be used to derive parpahrases (as in our implementation of verb alternations), and it does not lend itself to multilingual generation, because the entire work of mapping from conceptual representation to natural language needs to be re-done for every additional target language.…”

Section: Word-concept Linkingmentioning

confidence: 99%

Lexical Semantics and Knowledge Representation in Multilingual Text Generation

Stede

1999

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“…Structure-mapping systems (e.g., Nogier and Zock 1991;Sondheimer et al 1990; Iordanskaja et different terminology is used in different papers) take as input a semantic structure that needs to be communicated to the user, search for pieces of the input structure that are equivalent to lexical units, and then replace the matched substructures by the corresponding lexical units. The matching and substitution process continues until the semantic structure has been completely reformulated in terms of lexical units.…”

Section: Structure-mappingmentioning

confidence: 99%

A new model of lexical choice for nouns1

Reiter

1991

Computational Intelligence

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Natural language generation systems should choose nouns by searching for lexical units that ( i ) are known to the user; (ii) truthfully describe the object being lexicalised; (iii) convey sufficient information to fulfill the system's underlying communicative goals; and (iv) are maximal under a lexical preference function. This model of lexical choice allows a clean separation to be made between what the system knows about the object being lexicalized and what it wishes to communicate about this object. The model also allows lexical choice to be biased towards basic-level and other preferred lexical units. , Les systtmes de generation du langage naturel devraient choisir des noms en recherchant des unites lexicales ( i ) qui soient connues de I'utilisateur, ( i i ) qui dtcrivent fidklement l'objet soumis B un traitement lexical, (iii) qui transmettent suffisammcnt d'information pour rtpondre aux objectifs de communication du systkme, et ( i v ) qui soient maximales dans une fonction de prtference lexicale. Ce modkle de choix lexical permet une nette stparation entre ce que le systime sait A propos de I'objet soumis B un traitement lexical et ce qu'il souhaite communiquer B propos de cet objet. Le modkle permet tgalement au choix lexical d'avoir un prejugi vis-ti-vis les unites lexicales de niveau de base et autres unites lexicales prtfer.rCes.

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Lexical choice as pattern matching

Cited by 24 publications

References 44 publications

Deliberate word access: an intuition, a roadmap and some preliminary empirical results

Deliberate word access: an intuition, a roadmap and some preliminary empirical results

Lexical Semantics and Knowledge Representation in Multilingual Text Generation

A new model of lexical choice for nouns1

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