SALAMA -  Swahili Language Manager

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Full use of linguistic information

In various applications, detailed linguistic description is made use of. This concerns morphological and syntactic description as well as morphological, syntactic and semantic disambiguation.

Detection of semantic clustering

Use is made of semantic clustering in semantic disambiguation, obtained through Self Organizing Maps, Bayesian Networks, WordNet of English, etc.


SALAMA aims at comprehensive description of Standard Swahili. Currently it contains words found in major Swahili dictionaries, domain-specific word-lists as well as in the corpus of about 20 million words.


          SALAMA has a cumulative modular structure, so that the user may