The SAWA Corpus: a Parallel Corpus English - Swahili
Domaine:
natural language processingType de record:
paper
Research in data-driven methods for Machine Translation has greatly benefited
from the increasing availability of parallel corpora. Processing the same text in
two different languages yields useful information on how words and phrases are
translated from a source language into a
target language. To investigate this, a parallel corpus is typically aligned by linking
linguistic tokens in the source language to
the corresponding units in the target language. An aligned parallel corpus therefore facilitates the automatic development
of a machine translation system and can
also bootstrap annotation through projection. In this paper, we describe data collection and annotation efforts and preliminary experimental results with a parallel
corpus English - Swahili.