Natural Language Processing: AI For Speech And Text


Natural Language Processing: AI For Speech And Text

Do you ever wonder how machines could understand the language of humans? Communication between humans and computers is only possible because of Natural Language Processing. Natural Language Processing (NLP) is the part, or you can say, a branch of computer science which deals with the computer’s ability to understand and work on the human language. The use of AI is pretty widespread these days, and most of the fields take advantage of it too. AI and Natural language processing, when combined, can allow computers to communicate with humans through speech and work accordingly.

Need For Natural Language Processing: AI For Speech

Computer languages follow some rules, and you have to give commands to the computer to make them run a task. These commands can be in the form of scripts of clicks from your mouse, but it isn’t everybody’s cup of tea to do programming and write a script to do the particular task.

Natural Language Processing: AI For Speech And Text
Natural Language Processing: AI For Speech And Text

How easy it can be if you can speak and order your computer to a specific job. It would be easy for you to have your job done by just talking, but there’s a problem with it, that the language we speak has different rules from that of computer language. For every sentence, there can be mixed meanings, based on how slow or loud we express and how much we stress on it while speaking it. Computers cannot differentiate between such sentences. With the help of natural language processing, computers are trained to understand the speech of humans. 

Process That Takes Place In Natural Language Processing: AI For Speech

Let’s get deeper into the topic of Natural Language Processing and the process that takes place in it. Let’s dive further into the two main techniques of Natural Language Processing.

Syntax

Natural Language Processing: AI For Speech And Text
Natural Language Processing: AI For Speech And Text

There is syntax involved while writing computer programs, and there is the syntax in the language we speak. The very first technique involved with training computers for natural language processing is the learning of syntax. In other words, you can say that syntax in the language we speak is grammar. Let’s relate a computer language and the language we speak in terms of their syntax. In java, a semicolon is necessary to terminate a line; else, the compiler will show some syntax error. Similarly, if we misplace a comma or a full stop in a sentence, then its meaning will change wholly.

Semantics

Semantics is the technique through which computers can relate to the derived meaning of the sentence. As mentioned earlier, a sentence can have many meanings depending upon how much stress we put on it while speaking or how we place punctuation marks. Through semantics, computers can find that what the sentence exactly means.

Semantics and syntax combined are a part of natural language processing. 

Final Words

If brought into good use, modern-day artificial intelligence, along with natural language learning, can help people and can also increase their productivity. It is so because most of the tasks will be done by speech. More innovations like that can help humans to have their basic jobs done at ease.

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