Computational linguistics is, without a doubt, one of the most challenging branches of information technology. While other branches operate on the basis of very precise principles, computational linguistics strives to recreate or model natural communication languages. Computer linguistic trends are very amazing, as these solutions handle voice recognition tools, translation services, grammar and spelling solutions. Although each one is a real challenge, it seems that some recent innovations in this field combine more than one option, regarding diversity in application benefit and better customer service 'requests. We should set outlines for a start that semantic and grammatical areas are definitely the first priority for all Hassani linguists.

Their efforts are shaped in several ways, however, it appears that many of them are not 100% able to survive, meaning that they are running but fail to point out certain types of errors. For example, the grammar proofing application is often unable to identify common errors. Many cannot explain the reason, since the grammar is usually taught in primary schools and the advanced program cannot identify it. The idea lies in the fact that the program cannot think, it processes information completely differently, always working in accordance with a predetermined pattern. In other words, the tool works when it recognizes the correct rules and errors. If none of this happens, then your grammar checker is very likely to consider a completely grammatical error.

Although online spell checking was one of the first attempts at computational linguistics, the way in which IT experts handled natural languages ​​went further, and the best evidence in this regard is translation tools that have been improved to store certain patterns of both languages More precisely, the way users translate specific words, terms, and phrases. And when the program identifies the same words or structures, it can automatically translate the new text into a language or grammatical structure that has already been processed. Semantics is another branch that has been well integrated into computer science. In this chapter, presentation is very diverse because this part relies more on databases. These tools can provide synonyms, antonyms and anything that may generate the same meaning but in other words or new meanings in exchange for a particular term. Newer applications can even generate rhymes as computational linguistics can identify words with the same phonological structure.


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