What is the disambiguration of words?
Word Sense Disambiguation (WSD) lies at the core of software programs designed to interpret language. Ambiguous words or sentences can be understood by several ways, although only one meaning is determined. Dis ambiguation is trying to decrypt the intended meaning of words and sentences. This area is very demanding for programmers who have the task of designing accurate interfaces to bridge the gap between spoken and written language, and computer -generated translations. The user dictates punctuation and, if necessary, inserts words like "comma" and "period". It sounds quite simple, except that many words sound exactly the same.
, for example, Know and no or i and eye are phonetically indistinguishable. Disambiguation Word Sense helps translate: "I should know until next week," right, using what is basically a set of rules "if", which take about the placement of words and adjacent words as indicators of the intended word. This type of disambiguration of verbal senseU is known as a "shallow approach" and is quite accurate, but it cannot always be calculated.
Another approach is to apply "world knowledge" or what computer linguistics calls a "deep approach". This approach relies on lexicons such as dictionaries and the thesis to help determine the right meaning of the word. Unfortunately, designing a deep access database, which is comprehensive enough to provide better accuracy than a shallow approach, is not an easy task.
4 For example, the word bass can mean a musical instrument, remark or fish. In the latter case, it is pronounced differently and leaves it to the WSD on the deduction that the pronunciation will use. If a written sentence happens: "Bass is difficult," can only scan the surrounding sentences to reveal traces, such as finding the words "fishing", "ship", "dock" or "band", "music" or "song". If disambiguration of the verbal sense of the program is not sufficiently robust or if missingOther guides, the program can make errors when translating.In addition to the "IF, then", algorithms are also used to determine the correct interpretations. In the above example, the algorithm could find keywords throughout the document that clearly point to music interpretation or Visa Versa. Other approaches are also used in WSD, which are essentially improved or expanding these basic approaches.
Word Sense Disambiguation is also essential for the interfaces of verbal commands to replace the keyboard - not only when handing simple operating system commands, but in such complex tasks such as web research. Otherblasts where the WSD plays role include the development of a semantic site and improved artificial intelligence models. Any area of science that relies on the linguistic bridge between man and machine will actually use the disambiguration of the meaning of words.