Natural Language processing (NLP) is a field of computer science and linguistics concerned with the interactions between computers and human (natural) languages. In theory, natural-language processing is a very attractive method of human-computer interaction. Natural-language understanding is sometimes referred to as an AI-complete problem, because natural-language recognition seems to require ...

The article explores the possibility to construct a unified word feature out of the component features of letters. Each letter is modeled by a different attractor and finally embedded in a quadratic iterated map. The result is the word feature that can account for the meaning extraction process of language understanding. This is a new approach in natural language processing based on the determi...

Open domain Question Answering (QA) is a long standing research problem. Recently, IBM took on this challenge in the context of the Jeopardy! game. Jeopardy! is a wellknown TV quiz show that has been airing on television in the United States for more than 25 years. It pits three human contestants against one another in a competition that requires answering rich natural language questions over a...

Natural languages are languages spoken by humans. Currently we are not yet at the point where these languages in all of their unprocessed forms can be understood by computers. Natural language processing is the collection of techniques employed to try and accomplish that goal. The field of natural language processing (NLP) is deep and diverse, This paper will introduce natural language understa...

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Minangkabau language (ML) is one of the daily communication tools used by people West Sumatra, Indonesia. ML a challenge in communicating. The translation process necessary to facilitate communication. This study aims build system for into Indonesian developing concept natural processing (NLP). NLP development adopts performance morphology-based stemming algorithm (MLSA) which can separate basi...

Studies that use medical records are often impeded due to the information presented in narrative fields. However, recent studies have used artificial intelligence extract and process secondary health data from electronic records. The aim of this study was develop a neural network uses unstructured capture regarding symptoms, diagnoses, medications, conditions, exams, treatment. Data 30,000 pati...

In this article, the problem of political leaning classificationof text resource is solved. First, a detailed analysis ten stud-ies on work’s topicwas performed in form comparative characteristicsof used methodologies.Literary sources were compared according to problem-solvingmethods,the learning that was carried out, evaluation metrics, and vectorizations.Thus, it determined machine algorithms...