Disambiguation of morphological analysis in Bantu languages

Abstract

The paper describes problems in disambiguating the morphological analysis of Bantu languages by using Swahili as a test language. The main factors of ambiguity in this language group can be traced to the noun class structure on one hand and to the bi-directional word-formation on the other. In analyzing word-forms, the system applied utilizes SWATWOL, a morphological parsing program based on two-level formalism. Disambiguation is carried out with the latest version (April 1996) of the Constraint Grammar Parser (GGP). Statistics on ambiguity are provided. Solutions tbr resolving different types of ambiguity are presented and they are demonstrated by examples fi'om corpus text. Finally, statistics on the performance of the disambiguator are presented.

Improving the Computational Morphological Analysis of a Swahili Corpus for Lexicographic Purposes

“…The rule-based two-level morphology formalism has also been applied to the verbal morphology of Gusii (Elwell 2006) and to Swahili (Hurskainen 1992(Hurskainen , 1996(Hurskainen , 2004. The latter rule-based morphological analyzer for Swahili is known as SALAMA, and was used to lemmatize the Helsinki Corpus of Swahili (HCS, Hurskainen 2004a).…”

Optimizing disambiguation in Swahili

“…After having been under development for 19 years (Hurskainen 1992(Hurskainen , 1996, the parser of Swahili has now reached a phase where the recall as well as the precision 4 is close to 100% in unrestricted standard Swahili text.…”

Rule-based Machine translation from English to Finnish

“…However, the basic components of the system were developed with the language pair Swahili and English, for which Hurskainen developed rule-based translation systems to both directions (Hurskainen 1992(Hurskainen , 1996(Hurskainen , 2004(Hurskainen , 2006(Hurskainen , 2007(Hurskainen , 2012.…”