Indonesian food culture mapping: a starter contribution to promote Indonesian culinary tourism

English-to-Indonesian Lexical Mapping using Latent Semantic Analysis

This paper describes an attempt to automatically map English words and concepts, derived from the Princeton WordNet, to their Indonesian analogues appearing in an Indonesian lexicon. Using Latent Semantic Analysis (LSA), a semantic model is derived from an English-Indonesian parallel corpus. Given a particular word or concept, the semantic model is then used to identify its neighbours in a high...

Stemming Indonesian

Stemming words to (usually) remove suffixes has applications in text search, machine translation, document summarisation, and text classification. For example, English stemming reduces the words “computer”, “computing”, “computation”, and “computability” to their common morphological root, “comput-”. In text search, this permits a search for “computers” to find documents containing all words wi...

Indonesian industrialization: A latecomer adjusting to crises

Indonesian Morphology Tool (MorphInd): Towards an Indonesian Corpus

This paper describes a robust finite state morphology tool for Indonesian (MorphInd), which handles both morphological analysis and lemmatization for a given surface word form so that it is suitable for further language processing. MorphInd has wider coverage on handling Indonesian derivational and inflectional morphology compared to an existing Indonesian morphological analyzer [1], along with...

Identifying Indonesian-core vocabulary for teaching English to Indonesian preschool children: a corpus- based research

This corpus-based research focuses on building a corpus of Indonesian children’s storybooks to find the frequent content words in order to identify Indonesian-core vocabulary for teaching English to Indonesian preschool children. The data was gathered from 131 Indonesian children’s storybooks, which resulted in a corpus of 134,320 words. These data were run through a frequency menu in MonoConc ...