CLIN26-Bracmat-poster.pdf

Linguistic and algebraic expressions can be analysed with similar pattern matching (PM) methods, suggesting a trove of useful methods for Natural Language Processing (NLP). For example, detection of the rhetoric device of parallelism is beyond the expressive power of pattern matching facilities of tools and programming languages commonly used in NLP. This poster shows how we can use a programming language for symbolic computation, Bracmat, for this task.

Identifier
DOI https://doi.org/10.23728/b2share.09ff375c4fbc42e0bcda6750a7f1c05b
PID http://hdl.handle.net/11304/0484c6eb-5eac-4187-b9c4-fc619f17d782
Source https://b2share.eudat.eu/api/records/09ff375c4fbc42e0bcda6750a7f1c05b
Metadata Access https://b2share.eudat.eu/api/oai2d?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:b2share.eudat.eu:b2rec/09ff375c4fbc42e0bcda6750a7f1c05b
Provenance
Creator Bart Jongejan
Publisher CLARIN
Publication Year 2019
Rights info:eu-repo/semantics/openAccess; Creative Commons Attribution (CC-BY)
OpenAccess true
Representation
Discipline Linguistics