CROSS-LINGUAL ANNOTATION PROJECTION FOR THE DEVELOPMENT OF MALAY CORPUS

Cross-lingual annotation projection methods can benefit from rich-resourced
languages to improve the performance of Natural Language Processing (NLP) tasks in
less-resourced languages. In this research, Malay is experimented as the lessresourced
language and English is experimented as the rich-resourced language. The
research is proposed to reduce the deadlock in Malay computational linguistic
research due to the shortage of Malay tools and annotated corpus by exploiting stateof-
the-art English tools. The aim of the research is to investigate a suitable crosslingual
annotation projection based on word alignment of two languages with
syntactical differences. A word alignment method known as MEW A (Malay-J;nglish
Word Aligner) that integrates a Dice Coefficient and bigram string similarity measure
with little supervision is proposed.