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LMF for a selection of African Languages

Domaine:

natural language processing

Type de record:

paper
Créateur:
EngMan
Éditeur:
LabUniGroLab
Éditeur:
CCSDHer
Hôte:avatar
International audience Electronic resources are scarce regarding less-resourced languages, so it is wise to take published dictionaries and convert them into a standard format usable by automated tools for natural language processing. We introduce the notion of less- resourced languages and then discuss the methodology of conversion that we have defned and implemented. The fourth part presents examples of conversion from the initial published format to the LMF format. The last part describes some diffculties encountered when representing certain information into LMF format.

Visit

hal.science

Tags

dictionaryLMFDiLAF[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]

Licenses

https://about.hal.science/hal-authorisation-v1/info:eu-repo/semantics/OpenAccess

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