Ruli Manurung

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In this paper, Aitana, a Developmental Cognitive Artifact developed byMarques (2006), is used to produce “conceptual” representations of the best known Cellular Automata (CA) rules that perform the Density Classification Task (DCT) (see e.g. Packard, 1984, 1988; Mitchell et al., 1993). The resulting redescriptions are then analysed from the viewpoint of(More)
The interactive STANDUP software was developed to provide children who use augmentative and alternative communication (AAC) with a “language playground.” The software provides appropriate functionality for users with physical, speech, and language impairments to generate and tell novel punning riddles at different levels of complexity. STANDUP(More)
The past 15 years has seen the development of a number of programs which perform tasks in the area of humour, but these have been exploratory research prototypes, usually on a very small scale, and none of them interacted with users. Amongst those which actually created humorous texts, the JAPE program was probably the most substantial, but even it was far(More)
This paper presents our efforts at developing an Indonesian morphological analyser that provides a detailed analysis of the rich affixation process. We model Indonesian morphology using a two-level morphology approach, decomposing the process into a set of morphotactic and morphophonemic rules. These rules are modelled as a network of finite state(More)
Since the early 1990s, there have been a number of small-scale computer programs which automatically constructed simple verbal jokes (puns), but none of these were fully developed systems which could be used for a practical application. We describe the building and testing of the STANDUP program – a large-scale, robust, interactive, user-friendly(More)
A WordNet is a useful lexical resource where specific senses of words are clustered together into synonym sets, and semantic relationships between these sets are specified. This paper describes an ongoing project to create an Indonesian WordNet using the expand model approach, i.e. by mapping existing WordNet entries to Indonesian word sense definitions. We(More)
Pemuisi is a poetry generation system that generates topical poems in Indonesian using a constraint satisfaction approach. It scans popular news websites for articles and extracts relevant keywords that are combined with various language resources such as templates and other slot fillers into lines of poetry. It then composes poems from these lines by(More)
In this paper we report our work in developing Part of Speech Tagging for Bahasa Indonesia using probabilistic approaches. We use Condtional Random Fields (CRF) and Maximum Entropy methods in assigning the tag to a word. We use two tagsets containing 37 and 25 part-of-speech tags for Bahasa Indonesia. In this work we compared both methods using using two(More)