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Interactive Question Answering (IQA) is a branch of Question Answering (QA) with interactivity enhancement, enabling dialogue with users. This paper explain how to build a prototype of IQA system, with its supporting aspect such as understanding user's topic, knowledge structure, and information recording in dialogue. Tree data structure is used for structuring IQA knowledge base. Information recording...
This paper proposes a strategy of semantic processing implemented in an Indonesian text understanding evaluation system. It uses component that already developed in Institut Teknologi Bandung consists of POS Tagger and Syntactic Parser.
Nowadays, classifying sentiment from social media has been a strategic thing since people can express their feeling about something in an easy way and short text. Mining opinion from social media has become important because people are usually honest with their feeling on something. In our research, we tried to identify the problems of classifying sentiment from Indonesian social media. We identified...
Nowadays, social media has grown rapidly. This growth makes people enjoy sharing their activities in social media, including complains about products or services from companies. This behaviour is a big opportunity for a company to know sentiments of customer toward their company. However, classifying sentiments from messages in social media has several challenges. First, the language used in social...
Building an automatic speech recognizer (ASR) means that one has to provide the acoustic model, language model and lexicon for the intended language, which is also applied for Indonesian ASR. Unfortunately, providing acoustic model for a certain language is quite expensive, unlike the language model and the lexicon. This is because one has to record many utterances from several speakers to build a...
A stemmer is a basic natural language processing tool that is widely used for many text based applications such as information retrieval or question answering engine. Existing Indonesian stemmer gives only one alternative of word result which is a deterministic way even though the problem is shown as a non deterministic. The existing algorithm selects only the first fit morphology rule defined in...
Dependency parsing has gained many focus lately for its many advantages over constituency-based. Dependency parsing uses dependency grammar. The observation which drives dependency grammar is a simple one: In a sentence, all but one word depends on other words. The one word that does not depend on any other is called the root of the sentence. A word depends on another either if it is a complement...
Spell checker consists of two main methods, error detection and error correction. In this study, spell checker is built by using morphological analyzer and dictionary lookup as error detection method with two alternative optimization, binary search and hash. Whilst as for error correction, two alternative methods, namely forward reversed dictionary and probability of similarity is used. Forward reversed...
The most common approach in Cross Language Question Answering (CLQA) is to employ question translation. The easiest way to conduct question translation is by translating the source question into target language using existing machine translation or bilingual dictionary. However, the error resulted by the question translation may influence the accuracy of CLQA. This research proposes an adaptation...
Research and development of a character recognition systems in the past years has been matured with publicly available either free or commercial character recognition systems especially for isolated Latin characters in multiple languages. The character recognition problem itself can be considered as a mostly solved. Some problems that are still being worked on in this community are unconstrained handwritten...
One of the problems in speech recognition is out of vocabulary words (OOV) because they can make some words error. Out of vocabulary words are the words that cannot be recognized by speech recognizer because there is no recognizing database. Alignment, language model, and POS Tag method is proposed in order to recognize word error because of OOV words. Word and syllable level decoding from speech...
The needs of document spelling checker of Bahasa Indonesia is highly required. Unfortunately, there is no available application of document spelling checker for Bahasa Indonesia. The existing researches on Indonesian spelling checker have not developed into a complete document spelling checker. Here in this research, we compare several methods employed for Indonesian spelling checker especially in...
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