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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/109856...
Part of book or chapter of book . 2006 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.1007/3-540-...
Part of book or chapter of book . 2006 . Peer-reviewed
Data sources: Crossref
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Computational Grammatical Inference

Authors: Pieter W. Adriaans; Menno M. van Zaanen;

Computational Grammatical Inference

Abstract

Grammatical Inference (GI) concentrates on finding compact representations, i.e. grammars, of possibly infinite sets of sentences. These grammars describe what sentences do or do not belong to a particular language. The process of learning the form of a grammar based on example sentences from the language touches several fields. Here, we give an overview of the field of GI as well as fields that are closely related. We discuss linguistic, empirical, and formal grammatical inference and discuss the work that falls in the areas where these fields overlap.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Top 10%
Average
Related to Research communities
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