The IR-NLP Lab at the Faculty of Computer Science, Universitas Indonesia, focuses mainly on the research areas of Information Retrieval, Speech Processing, and Computational Linguistics.
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Information Retrieval seeks to explore the methods and techniques of organizing, representing, storing, and searching of information in textual and multimedia forms (speech, image, and music).
In our lab, we have conducted several research topics in the area of information retrieval:
Natural Language Processing is a field which tries to model natural language in formal rule representation, or formalism grammar. This representation can be categorized into phonetics, morphology, syntax, semantics, and discourses.
We have developed several NLP tools, especially for Indonesian Language, such as:
Indonesian Language is still considered as an Under-resourced Language, which means that we are still lack of language resources to support most of the natural language processing tools.
In our lab, we are also developing several language resources such as:
Text Mining seeks approaches for structuring textual data, deriving patterns from the structured textual, and finally interpreting and mining useful information from the results.
We have been doing research on the following areas of text mining:
Machine Translation is a sub-field of computational linguistics that seeks computational models to automatically translate text or speech expressed in one language to another language. The Lab has been publishing several works in this area, especially for Indonesia-English translation.
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