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• Essay on Computer

Long and Short Computer Essay

The term computer was once used to refer to a person who did computation, unlike today. The development of early prototypes that led to the modern computer is credited to many individuals throughout history. A series of breakthroughs, beginning with transistor computers and then integrated circuit computers, resulted in the development of transistor technology and the integrated circuit chip, causing digital computers to largely replace analogue computers. 

In this essay, we will discuss the various components and types of computers and talk about their uses in various fields.

Long Computer Essay in English

A computer is an electronic tool that manipulates data or information. It can store, retrieve, and process information. We can type documents, send emails, play games, and browse the Web using a computer. It can also be used to edit spreadsheets, presentations, and even videos, or create them. 

Early computers were conceived only as devices for calculating. Simple manual devices such as the abacus have helped individuals do calculations since ancient times. Some mechanical devices were built early in the Industrial Revolution to automate long, tedious tasks, such as guiding patterns for looms. In the early 20th century, more sophisticated electrical machines performed specialized analogue calculations. 

Common Components of Computers

All those parts of a computer that are tangible physical objects are covered under the term hardware. The hardware includes circuits, computer chips, graphics cards, sound cards, memory (RAM), motherboards, displays, power supplies, cables, keyboards, printers and "mice" input devices.

 There are five main hardware components: 

Input Devices: 

These are devices that are used to enter data/information in the central processing unit. Example- keyboard, mouse, scanner, document reader, barcode reader, optical character reader, magnetic reader etc.

Output Devices: 

These are devices that provide the processed data/information into human-readable form. Example- monitor, printer, speaker, projector etc.

Control Unit: 

The control unit handles the various components of the computer; it reads and interprets (decodes) the instructions for the program, transforming them into control signals that activate other computer parts.

Arithmetic Logic Unit: 

It is capable of performing arithmetical and logical functions. The set of arithmetic operations supported by a specific ALU may be restricted to addition and subtraction or may include functions of multiplication, division, trigonometries such as sine, cosine, etc., and square roots.

Central Processing Unit: 

The ALU, control unit and registers and together called the CPU. It is sometimes called the computer's brain, and its job is to perform commands. We send instructions to the CPU whenever we press a key, click the mouse, or start an application.

Software refers to computer parts, such as programs, data, protocols, etc., that do not have a material form. In contrast to the physical hardware from which the system is built, the software is that portion of a computer system consisting of encoded information or computer instructions.

It is sometimes called "firmware" when the software is stored in hardware that can not be easily modified, such as with a BIOS ROM on an IBM PC compatible computer.

Computer hardware and software require each other, and neither of them can be realistically used on their own. There are four main components of a general-purpose computer: the arithmetic logic unit (ALU), the control unit, the memory, and the I/O (collectively called input and output) devices.

Uses of Computer

Computers are used in various fields, such as homes, businesses, government offices, research organizations, educational institutions, medicine, entertainment, etc. because of their features and powerful functions. They have taken sectors and companies to a whole new level.

Science- 

Computers are best suited for the collection, analysis, categorization, and storage of data in science, research and engineering. They also help scientists to exchange data both internally and internationally with each other.

Government-  

Computers in the government sector are used to perform various functions and improve their services. In most cases, data processing tasks, the maintenance of citizens' databases, and the promotion of a paperless environment are the primary purposes of using computers. In addition to this, computers play a key role in the country's defence system.

Health and Medicine- 

They are used to preserve information, records, live patient monitoring, X-rays, and more from patients. Computers assist in setting up laboratory tools, monitoring heart rate and blood pressure, etc. Besides, computers allow physicians to easily exchange patient data with other medical specialists.

Education- 

They help people get different educational materials (such as images, videos, e-books, etc.) in one place. Also, computers are best suited for online classes, online tutoring, online exams, and task and project creation. Also, they can be used to maintain and track student performance and other data.

Banking- 

Most countries use online banking systems so that customers can access their data directly. People can verify the balance of their account, transfer cash, and pay online bills, including credit cards. Besides, banks use computers to execute transactions and store client information, transaction records, etc.

Short Computer Essay in English

A computer's a programmable device that accepts raw data(input) and processes it as output with a group of instructions (a program) to supply the result. It renders output after performing mathematical and logical operations and can save the output for future use. The word "computer" derives from the word "computare" in Latin, which means calculating.

Types of Computer

Computers are of different types based on different criteria. Based on their size, computers are of five types:

Micro Computers- 

It is a single-user computer that has less capacity for speed and storage than the other types. For a CPU, it uses a microprocessor. Laptops, desktop computers, personal digital assistants (PDAs), tablets, and smartphones are common examples of microcomputers. Microcomputers are generally designed and built for general use, such as browsing, information search, the internet, MS Office, social media, etc.

Mini Computers- 

Minicomputers are also referred to as "Midrange Computers." They are multi-user computers designed to simultaneously support multiple users. Therefore, they are generally used by small companies and firms. 

Mainframe Computers- 

It is also a multi-user computer that large companies and government organizations use to run their business operations as large amounts of data can be stored and processed. Banks, universities, and insurance companies, for example, use mainframe computers to store data from their customers, students, and policyholders.

Super Computer- 

Among all types of computers, supercomputers are the fastest and most costly computers. They have an enormous capacity for storage and computing speeds and can therefore perform millions of instructions per second.

Workstations-  

It is a single-user computer with a comparatively more powerful microprocessor and a high-quality monitor compared to a mini-computer.

Benefits of Computers:

It increases productivity.

It helps in connecting to the internet.

It helps in organizing data and information.

It allows storing large amounts of data.

Fun Facts About Computers

The first electric computer that was invented weighed around 27 tons or even more than that and took up to 1800 square feet.

There are about 5000 new viruses that are released every month.

The original name of Windows was Interface Manager.

It is surely known that the life of humans would not have been so easy if computers were not a part of human life. This is also supported by a lot of pieces of evidence where we can even see in daily life how the computer is not just present in an organization but is also available right in the pockets of everyone. Thus, the computer has surely made it easy while also spoiling a lot of people's lives. 

FAQs on Essay on Computer

1. What are the disadvantages of computers?

While the computer has surely made life easier, it also has a lot of disadvantages. The disadvantages of the computers can be provided as follows:

People spend too much time sitting and doing nothing but watching the content on computers.

People staring at computers for a long time also tend to strain their eyes, and as a result, they need spectacles to understand what is being written in front of them.

Attention span is decreasing with an increase in the use of computers. 

With computers being AI-powered, it is now easier for people to do all the tasks on a computer and not work on it themselves. This has made a lot of people lazy.

2. What is the process of working on a computer?

A computer is an electronic machine and it needs information to be added in as raw data to function well. It has a flow that determines the accessing of data. The following steps take place before the results are obtained:

Information is taken in by the computer in the form of raw data. This process is also called the input.

Then the information that is not needed will be stored while the information that is needed is passed onto the next step. The storing of data is called memory.

Then the information that is required is crushed or it is split and this process is called processing.

The last step is where the results are obtained. This process is called getting the output.

Computers Can Translate Quickly and Accurately with the Development of Technology - IELTS Essay

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Model Essay 1

In an era where technology propels the capabilities of machine translation to remarkable speeds and accuracies, the question arises whether the endeavor of learning foreign languages is now redundant. Contrary to this notion, the essence of language learning extends beyond mere translation, embodying cultural understanding and cognitive benefits. This essay argues that, despite technological advancements, acquiring foreign languages retains its invaluable place for individuals and society.

Firstly, the depth of cultural nuance and idiomatic expressions inherent in languages is something algorithms struggle to grasp fully. For instance, the subtle cultural references or humor often embedded in languages frequently lose their essence when translated by machines, highlighting the need for human intuition for authentic understanding and appreciation. Language serves not merely as a tool for communication but as a gateway to the intricate tapestry of a culture's history, traditions, and viewpoints. Immersing oneself in the original language of literature, film, and art unlocks insights into the societal soul that are otherwise inaccessible, thereby cultivating a profound sense of empathy and a broadened global perspective. This immersion facilitates a deeper connection with the cultural context, enriching the learning experience.

Secondly, the journey of acquiring a foreign language significantly boosts cognitive functions in ways technology cannot emulate. Studies have shown that bilingual individuals enjoy enhanced memory, sharper problem-solving abilities, and a delayed onset of dementia compared to monolinguals. The intellectual challenge of learning a new linguistic system stimulates the brain, bolstering mental agility and executive functioning. Moreover, being able to communicate in another language opens up rich social interactions with native speakers and enables full participation in cultural rituals, thereby strengthening interpersonal skills and fostering a sense of global community. These interactions provide real-world contexts that deepen the learning process, making it more engaging and effective.

In conclusion, while technology simplifies communication across language barriers, the intrinsic value of learning foreign languages remains undiminished. It offers a profound engagement with the world’s diverse cultures and bestows cognitive advantages that technology alone cannot provide. Thus, the pursuit of language learning, far from being obsolete, is a testament to the depth and complexity of human intellect and culture.

Model Essay 2

In the age of advancing technology, where computer-assisted translations reach unprecedented accuracy and speed, the value of learning foreign languages has been questioned. I firmly disagree with the notion that this pursuit has become redundant. The essence of language learning transcends mere communication, touching upon cultural immersion and cognitive development.

Diving deeper, one must consider the richness that comes with understanding a language beyond its lexical scope. Language is not merely a tool for transactional exchanges but a gateway to understanding a culture's soul. For instance, idiomatic expressions and proverbs, often untranslatable, offer insights into a community's history, humor, and worldview. Technologies, despite their sophistication, fall short in capturing these nuances, leaving a gap filled only by the human experience of language learning. Furthermore, the process of acquiring a new language enhances cognitive abilities, fostering a more nimble mind. Research consistently shows that bilingual individuals enjoy improved problem-solving skills, enhanced memory, and greater creative thinking capacity.

Indeed, the interpersonal connections nurtured through engaging in someone's native language are without parallel. When one converses in the local tongue, it not only bridges cultural and emotional gaps but also fosters a profound level of empathy and understanding that transcends mere words. This unique ability to connect on a deeper, more personal level allows for the creation of genuine bonds and the sharing of rich, cultural narratives. Such interactions, enriched by the nuances of direct language exchange, cannot be replicated by any translation tool, no matter its sophistication. This human element of language learning is especially crucial in our interconnected world, highlighting the invaluable nature of immersing oneself in new languages to cultivate global understanding and cooperation.

In conclusion, the argument that language learning is obsolete in the face of technological advancements overlooks the profound, multifaceted benefits it offers. From deep cultural immersion and enhanced cognitive functions to the irreplaceable value of human connections, learning foreign languages remains an endeavor of immense value. Thus, far from being a waste of time, it is a timeless investment in our collective humanity and individual growth.

• Task 2 Essays

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Essay on Computer

500+ words essay on computer.

A computer is an electronic device that performs complex calculations. It is a wonderful product of modern technology. Nowadays, computers have become a significant part of our life. Whether it is in the sector of education or health, computers are used everywhere. Our progress is entirely dependent on computers powered by the latest technology. This ‘Essay on Computer’ also covers the history of computers as well as their uses in different sectors. By going through the ‘Computer’ Essay in English, students will get an idea of writing a good Essay on Computers. After practising this essay, they will be able to write essays on other topics related to computers, such as the ‘Uses of Computer’ Essay.

The invention of the computer has made our lives easier. The device is used for many purposes, such as securing information, messages, data processing, software programming, calculations, etc. A desktop computer has a CPU, UPS, monitor, keyboard, and mouse to work. A laptop is a modern form of computer in which all the components are inbuilt into a single device. Earlier, computers were not so fast and powerful. After thorough and meticulous research and work by various scientists, modern-day computers have come up.

History of Computers

The history of computer development is often used to reference the different generations of computing devices. Each generation of computers is characterised by a major technological development that fundamentally changed the way computers work. Most of the major developments from the 1940s to the present day have resulted in increasingly smaller, more powerful, faster, cheaper and more efficient computing devices.

The evolution of computer technology is often divided into five generations. These five generations of computers are as follows:

Uses of Computers

Computers are used in various fields. Some of the applications are

1. Business

A computer can perform a high-speed calculation more efficiently and accurately, due to which it is used in all business organisations. In business, computers are used for:

• Payroll calculations
• Sales analysis
• Maintenance of stocks
• Managing employee databases

2. Education

Computers are very useful in the education system. Especially now, during the COVID time, online education has become the need of the hour. There are miscellaneous ways through which an institution can use computers to educate students.

3. Health Care

Computers have become an important part of hospitals, labs and dispensaries. They are used for the scanning and diagnosis of different diseases. Computerised machines do scans, which include ECG, EEG, ultrasound and CT Scan, etc. Moreover, they are used in hospitals to keep records of patients and medicines.

Computers are largely used in defence. The military employs computerised control systems, modern tanks, missiles, weapons, etc. It uses computers for communication, operation and planning, smart weapons, etc.

5. Government

Computers play an important role in government services. Some major fields are:

• Computation of male/female ratio
• Computerisation of PAN card
• Income Tax Department
• Weather forecasting
• Computerisation of voters’ lists
• Sales Tax Department

6. Communication

Communication is a way to convey an idea, a message, a picture, a speech or any form of text, audio or video clip. Computers are capable of doing so. Through computers, we can send an email, chat with each other, do video conferencing, etc.

Nowadays, to a large extent, banking is dependent on computers. Banks provide an online accounting facility, which includes checking current balances, making deposits and overdrafts, checking interest charges, shares, trustee records, etc. The ATM machines, which are fully automated, use computers, making it easier for customers to deal with banking transactions.

8. Marketing

In marketing, computers are mainly used for advertising and home shopping.

Similarly, there are various other applications of computers in other fields, such as insurance, engineering, design, etc.

Students can practise more essays on different topics to improve their writing skills. Keep learning and stay tuned with BYJU’S for the latest update on CBSE/ICSE/State Board/Competitive Exams. Also, download the BYJU’S App for interactive study videos.

Frequently asked Questions on Computer Essay

How has the invention of the computer been useful to students.

Easy and ready access to information has been possible (internet) with the invention of the computer.

How to start writing an essay on a computer?

Before writing an essay, first plan the topics, sub-topics and main points which are going to be included in the body of the essay. Then, structure the content accordingly and check for information and examples.

How to use the computer to browse for information on essays?

Various search engines are available, like Google, where plenty of information can be obtained regarding essays and essay structures.

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Science News Explores

Computers can translate languages, but first they have to learn.

Google Translate learns just like a baby — except this baby eats its words

If you want to know what a bit of French, Japanese or another foreign language means in English, it’s easy to get a translation through a website, such as Google Translate.

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• Google Classroom

By Terena Bell

November 30, 2017 at 6:45 am

A Canadian family is traveling overseas with children when one of them whispers to her mom that she really, really, REALLY has to use the washroom . In other words, it’s an emergency. But how does this parent ask for the location of the restroom from someone who only speaks Turkish, Portuguese or Mandarin?

With a smartphone, that mom might be able to ask for help from Google Translate . The website lets someone type a word, phrase or more in English. Then it shows the equivalent words in Spanish — or any of more than 100 other languages. When people say “Google Translate,” they sometimes mean this website. Other times they may be using the phrase to inaccurately refer to any machine translation engine, which is what these computerized programs are known as. (Calling all of them Google Translate is like using the brand-name Kleenex to refer to any brand of tissues.)

Machine translation — or any type of translation, really — isn’t easy. Languages never match each other word for word. For example, think about the word “honeymoon.” This doesn’t mean that the moon is made of honey. If you want to say “honeymoon” in another language, you first have to think about what it really means: a trip people take after their wedding. That’s why the way you say “honeymoon” in French is “voyage de noces” — which literally means ”wedding trip.”

Meaning is more important than exact words when it comes to translating something into English, too. Pretend you’re French and your big sister is talking about her date. “You’re not going to believe it,” she says in French, but “he gave me a rabbit.” Of course, Frenchmen don’t show up for dates bearing bunnies, usually. The phrase — “Il m’a pose un lapin” — is a French idiom. It means “he stood me up.”

If translation challenges people, imagine how tricky it can be when teaching a computer to do it. And it has been hard. But programmers have been making great strides lately in helping electronic brains interpret “foreign” languages.

Here we look at many of the obstacles they’ve had to hurdle. Fortunately, the payoff for succeeding can be big: Different cultures will not have to give up their own languages — or, necessarily, learn a new one — to be understood throughout the world.

Learning the rules . . . and when to break them

Machine translation systems learn like a baby does. Let’s name ours MT. That’s the abbreviation professional translators actually use.

Just like a baby, MT has a brain. In machine translation, this brain is known as an engine. Such engines are completely empty until fed words. Words such as “honeymoon” sometimes will be eaten in isolation. Others may be ingested in phrases or sentences such as: “ My mom and dad went to Gatlinburg on their honeymoon .”

MT’s “brain” processes these words in one of two ways: rule-based or behavior-based. It takes both types to understand language. (That’s true both for computers and for people.)

Think about it. People talk in full sentences around babies all the time. Sure, they may say “apple” over and over again while pointing to one. But they also say, “Wow, MT, you really like your apple.” By seeing how words work within the context of the other words in a sentence, MT’s brain starts growing slowly. This may start with learning the meaning of “apple.” To do this, MT learns a bit each time the word is used. But just as importantly, it learns something by noting when the word is not used.

For instance, you would never say: “My parents went to Gatlinburg on their apple.” But you could say “They went to the Big Apple on their honeymoon!” Since words can mean more than one thing (Big Apple is a nickname for New York City), behavior-based engines help MT understand the use of specific words — here, “apple” — in a range of different situations.

But such behavior-based rules are not enough. That’s why rule-based engines exist. They help MT understand the grammar of a particular language. For example, those rules teach MT what a noun is. They teach how a noun differs from a verb, and that in English, nouns go in front of or after the verb depending on how it relates to the verb. So rule-based engines help MT know not just that “apple” is a noun but also that “I want an apple” works but “I apple a want” does not.

Good grammar helps you sound as smart and educated as you really are. But sometimes you may just want to sound cool. To do that, you might deliberately bend — or even break — a rule.

For example, experts in English grammar know that people should not end a sentence with a preposition (such as “of” or “to” or “with”). Yet people do it all the time. Even Winston Churchill did it. He was Prime Minister of the United Kingdom and a renowned public orator. His motivating speeches are credited with helping the Allied forces win World War II.

Once, Churchill took some criticism for ending a sentence with a preposition. His response: “Ending a sentence with a preposition is something up with which I will not put.” Instead of saying “something I won’t put up with” — which is what people normally would say — Churchill instead uttered a silly phrase. He wanted to point out that you can sometimes sound weird when you don’t break the rules.

The problem, however, is that computers can’t break the rules. They don’t know how. Even those that have artificial intelligence can break rules only in ways that they were taught.

People break the rules to make up new sentences and words all the time. For MT to understand and do that, it must learn the rules for when rules can — or should — be broken. This is why a good MT engine really needs both behavior and rule-based learning. The beauty and usefulness of language depends on both.

Words as food

An engine that learns from both rules and behavior is called a hybrid. Computer programmers train such hybrids by using larger chunks of information, not just isolated words or phrases.

“Most of these hybrids learn from data,” explains Kirti Vashee. He is a private consultant, based in Los Angeles, Calif. He helps translation companies build their own engines. MT developers would likely start by feeding an engine huge quantities of previously translated words and phrases. They provide a young MT engine with a digital library of translations from one particular language into another. By absorbing these data, an MT system will become more articulate and educated in the grammar of this language.

In the past, MT programmers trained engines with entire books. Books not only contain sentences that follow grammar rules, but also sentences that don’t. The more of both that programmers feed into an MT engine, the more it will learn. A machine translation company known as Sovee, for instance, included the Bible among the texts it used to train its MT engine.

Machine translation does not perform equally in all languages. Why? The simplest answer is that no engine will have been fed a similarly rich diet of every language.

Mike Dillinger oversees artificial-intelligence efforts at LinkedIn, the social media network based Sunnyvale, Calif. He’s also on the board of the ADAPT Centre in Dublin, Ireland. “We train each MT system to go in only one direction,” he explains. That “language direction,” for example, might be from English into Spanish. “We then have to train a separate one,” he notes, “if we want it to go in a different direction, for example, from Spanish to [English].”

Some languages, like Spanish and French, have rich literary histories. With many books written in these languages, MT has a large and varied diet of words on which to dine. Far more books and other written works also exist that have already been translated between these languages and English.

Compare that to Somali. This language is spoken in the African countries of Somalia, Djibouti, Eritrea, Kenya and Ethiopia. Until 1962, no one had even written this language down! For the next decade, political leaders in Somalia fought over what their alphabet should even look like, notes Mohamed Diriye Abdullahi. (He wrote the 2001 book Culture and Customs of Somalia.)

Compare this to English. The first written text in this language appeared in 602. That’s 1,370 years prior to written Somali. Even today, people who speak Somali don’t always agree on how to spell certain words. So, with fewer texts and with different spellings for words, you can see how an MT engine might get confused!

Yet even when plenty of books are available, they sometimes “aren’t about the right topics,” Dillinger points out. Besides needing an engine for each direction, MT may work best if it has separate engines for different subjects. For example, one English-to-Spanish engine may translate about food while another translates about sports.

“We have to choose example sentences that are the same topic and same style that we want the translations to look like,” Dillinger says. After all, “We don’t teach the computer a language,” he explains. “We show it some example sentences to copy.”

Story continues below video

Don’t feed your engine ‘junk food’

Like a baby, an MT engine has to be exposed to a lot of words to understand just a few very well. Once it does, though, MT’s ability to translate grows in proportion to how much it’s fed — and at an accelerated rate. Why? Because MT gets smarter from every interaction.

Every time someone uses a young MT engine, they feed it words. Humans don’t just eat until they grow up. They eat until they grow old and die. So an MT engine also needs many words to begin growing — then plenty more to help it mature and get even better at its job. Indeed, feeding an “adult” MT engine is quite important. The reason: Over time languages evolve and grow. New slang terms emerge. People give new meanings to old words. And totally novel terms are invented to describe new events, technologies or concepts, such as synestia . MT engines must grow and evolve to account for all of these.

Languages that Google doesn’t translate very well, such as Somali, tend to be spoken in countries where there are fewer texts and where it can be hard for people to get access to the internet. So they don’t offer Google Translate much to eat. An MT engine trying to learn such a language may therefore remain stunted for many years.

After all, Google Translate — or any MT engine — should get smarter and faster the more it eats. But only if it eats real words.

Keep in mind that MT will eat anything it’s fed. This is why you should never type made-up words into such an engine. Every time you do, you’re stuffing MT full of the linguistic version of potato chips instead of fruits and vegetables.

Google has found that people already type more than 140 billion words into Google Translate every day! At this rate, its MT engine is definitely no longer a baby.

But bigger doesn’t always mean stronger.

“Large volumes of bad data will produce crappy MT systems,” Vashee says. In other words, feeding MT weird, odd or fake words makes it fat and unhealthy. So every time you use Google Translate or some other computerized translation program, think of yourself as its parent. Are you feeding this MT healthy words or the equivalent of junk food?

Unfortunately, people are going to keep typing made-up things into Google Translate for fun. Until MT learns how to toss these words out instead of eating them, it may suffer. Junk food slows you down — and risks doing the same thing to MT.

Bringing machine translation to everyone

Everyone deserves to have computers (and other people) understand them. So computer programmers are always looking for ways to make MT smarter and more accessible. The challenge can be to make this happen for the many “tongues” — such as Somali — with fewer written texts or fewer speakers.

Laura Brandon works in Seattle, Wash., where she is director of the Globalization and Localization Association. It’s the international trade association for translation companies. Computer programmers have been building computer-based language translators since the 1960s, she notes. “The big development these days,” she observes, “is neural MT.” Neural here refers to neurons in the brain. And although MT engines lack true neurons, they have been designed to mimic the way neurons function in the human brain. And this neural type, she says, is just “blowing other MT out of the water.”

So what makes it so cool? Well, remember how MT needed a separate engine to translate into each language direction? Neural engines don’t.

Microsoft was the first company to release a neural MT system. Google now has its own version. It “[allows] for a single system to translate between multiple languages,” Google explains on a company blog.

Suppose you want to know how to say something in Japanese, Korean and English. Before neural systems were available, computers would have required three different engines to make this happen. One would translate Japanese into English. Another would translate Korean into English. A third would convert Japanese into Korean.

And each engine would have had to start from scratch.

Now, instead of having lots of “brains” that only think in one direction, neural MT uses one big engine to store grammar, vocabulary — all of the information about translation going into and out of that language. This allows programmers to do the conversion of Japanese into Korean by using information from the first two translations (the Japanese and Korean into English).

Neural MT does not speed the translation of a brand new language. Nor does it help MT tackle more than one subject (such as food, sports, business or science) at a time. Translation companies still need you and your friends to figure those things out. That’s why Brandon says: “Remind science students that language is important. That it’s not just for the liberal artsy types. And that studying languages alongside their core science topics could lead to a rockin’ career!”

In other words, the translation industry — and a growing community of baby MT engines — need you.

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Essay on Computer and its Uses for School Students and Children

500+ words essay on computer.

In this essay on computer, we are going to discuss some useful things about computers. The modern-day computer has become an important part of our daily life. Also, their usage has increased much fold during the last decade. Nowadays, they use the computer in every office whether private or government. Mankind is using computers for over many decades now. Also, they are used in many fields like agriculture, designing, machinery making, defense and many more. Above all, they have revolutionized the whole world.

History of Computers

It is very difficult to find the exact origin of computers. But according to some experts computer exists at the time of world war-II. Also, at that time they were used for keeping data. But, it was for only government use and not for public use. Above all, in the beginning, the computer was a very large and heavy machine.

Working of a Computer 

The computer runs on a three-step cycle namely input, process, and output. Also, the computer follows this cycle in every process it was asked to do. In simple words, the process can be explained in this way. The data which we feed into the computer is input, the work CPU do is process and the result which the computer give is output.

Components and Types of Computer

The simple computer basically consists of CPU, monitor, mouse, and keyboard . Also, there are hundreds of other computer parts that can be attached to it. These other parts include a printer, laser pen, scanner , etc.

The computer is categorized into many different types like supercomputers, mainframes, personal computers (desktop), PDAs, laptop, etc. The mobile phone is also a type of computer because it fulfills all the criteria of being a computer.

Get the huge list of more than 500 Essay Topics and Ideas

Uses of Computer in Various Fields

As the usage of computer increased it became a necessity for almost every field to use computers for their operations. Also, they have made working and sorting things easier. Below we are mentioning some of the important fields that use a computer in their daily operation.

Medical Field

They use computers to diagnose diseases, run tests and for finding the cure for deadly diseases . Also, they are able to find a cure for many diseases because of computers.

Whether it’s scientific research, space research or any social research computers help in all of them. Also, due to them, we are able to keep a check on the environment , space, and society. Space research helped us to explore the galaxies. While scientific research has helped us to locate resources and various other useful resources from the earth.

For any country, his defence is most important for the safety and security of its people. Also, computer in this field helps the country’s security agencies to detect a threat which can be harmful in the future. Above all the defense industry use them to keep surveillance on our enemy.

Threats from a Computer

Computers have become a necessity also, they have become a threat too. This is due to hackers who steal your private data and leak them on internet. Also, anyone can access this data. Apart from that, there are other threats like viruses, spams, bug and many other problems.

The computer is a very important machine that has become a useful part of our life. Also, the computers have twin-faces on one side it’s a boon and on the other side, it’s a bane. Its uses completely depend upon you. Apart from that, a day in the future will come when human civilization won’t be able to survive without computers as we depend on them too much. Till now it is a great discovery of mankind that has helped in saving thousands and millions of lives.

Frequently Asked Questions on Computer

Q.1  What is a computer?

A.1 A computer is an electronic device or machine that makes our work easier. Also, they help us in many ways.

Q.2 Mention various fields where computers are used?

A.2  Computers are majorly used in defense, medicine, and for research purposes.

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IELTS Writing Task 2/ Essay Topics with sample answer.

Ielts writing task 2 sample 113 - computer can translate languages, so children need not study foreign languages any more, ielts writing task 2/ ielts essay:, some people say that computers can translate languages, so children need not study foreign languages anymore..

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Essay on Computer in English

Dear students, in this post, you will read an essay on a computer. It is an opinion essay. A computer is an indispensable gadget in modern times. Read the complete essay on computer as follows:

A computer is a valuable tool. Many people use computers every day for many purposes. Think about ways that people use computers. Write an essay for your classmates explaining why you think a computer is a valuable tool.

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I have grown up on a farm, but even in our rural area, I can see ways that technology is being integrated into all areas of life. Computers play a vital role in society, affecting us as much as TV, cars, and electricity. Computers are an important tool because they help us communicate more easily, increase our efficiency, and add convenience to our hectic lives.

To begin, computers have vastly improved daily communication. E-mail has revolutionized the way many people stay in touch. For example, by using e-mail I was able to send a photograph of me, playing football, to my grandmother living away from me. She was thrilled, and that evening she sent me an electronic greeting card with an interactive football game! Also, I can communicate instantly with other friends who are online. Also, my parents don’t get mad at me for tying up the phone to talk with my friends. On the computer, if you can type, you can chat.

Working on a computer helps me create professional-looking reports and letters. I am not a very neat person, so I depend on word processing to help make my work look neat. I can tell that my teachers like it when they don’t have to read my sloppy handwriting. Besides, writing a long essay or a report by hand is extremely tiring. Computers have been a real lifesaver in that department.

Another wonderful thing about computers is that they can help you get and stay organized. Many kids, adults, and organizations store a lot of information on the computer. I know that my parents keep their tax records on it. When tax time comes along, instead of having to sort through boxes of junk, they have everything they need at their fingertips because they stored it on the computer.

Finally, shopping on the Internet is another great benefit of having a computer. I’ve bought books, music CDs, and gifts on the Internet. It’s so much better than dragging myself around from store to store, lugging shopping bags, and waiting in long lines. Of course, my parents keep an eye on what I buy and how much it costs. They don’t let me shop on the Internet that much, but I love to do it when I can.

I think that computers are marvellous machines and that what they can do is only going to increase. I’ve described here only a few of the ways that computers make a huge difference to me, my family, and my friends right now. Just think about all the other ways computers help people and organizations around the world and about the other benefits they’ll bring in the future!

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Learning foreign languages is a waste of time IELTS essay

IELTS ESSAY TOPIC

As computers translate quickly and accurately, learning foreign languages is a waste of time to what extent do you agree, sample answer.

Computers in this contemporary epoch can quickly and accurately translate languages. Hence, learning a foreign language is a sheer wastage of time. This essay completely disagrees with this statement because firstly, learning such skills helps in the holistic development of individuals, and secondly, it uplifts the chances of employment.

To begin with, learning a foreign language makes a significant contribution to the comprehensive development of people. As there is no denying this conviction that learning a foreign language enhances their knowledge and personality. Thus by acquiring proficiency in a foreign language, they have immense information and stay up to date. For instance, a recent study conducted by Harvard University revealed that the people who know foreign languages have better knowledge than others.

Moreover, learning a foreign language is a prudent approach because it bestows you with enhanced work options. It is intuitively true that those people who can communicate in more than one language are suitable for companies and organizations. Their enhanced skill set empowers them to get sufficient work opportunities not only locally but also globally. Consequently, they find it easy to carve out a niche for themselves and lead their lives towards an impressive growth trajectory even in fierce competition . Japan is the prime example where people learn more than one foreign language, and the unemployment rate is low there.

To conclude, learning a foreign language is a worthwhile proposition because it plays a crucial role in the overall development of individuals and creates high chances of success in finding jobs.

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Translation Tech Is Amazing, Except When It’s Not

Today’s language translation apps are like self-driving cars : incredibly useful, promising, nearing maturity, and almost entirely powered by machines. It's astonishing that the technology even exists.

Even so, machine translation is still clunky at times, if not awkward.

Consider a recent conversation I had with my neighbor, Andre, who immigrated from Russia last year. Speaking little to no English, Andre is navigating the American Dream almost entirely through Google Translate , the most popular speech-to-speech translation app, first launched 10 years ago.

Through his phone, Andrew and I can hold surprisingly deep conversations about where he’s from, how he thinks, how we can help each other, and what he hopes for. But on more than one occasion, Google Translate failed to communicate what Andre was trying to express, which forced us both to shrug and smile through the breakdown.

As computers get smarter, however, Google, Apple, Microsoft, and others hope to fully remove the language barrier Andre and I shared that day. But it’ll take faster neural machine learning for that to happen, which “might be a few years out,” one developer I spoke to admitted.

Not that the wait matters. In fact, many consumers are surprised to learn just how good today’s translation apps already are. For example, this video shows three Microsoft Researchers using the company's live translation software to hold a conversation across multiple languages. The video is seven years old. But when I showed it to some friends, they reacted as if they'd seen the future.

“The technology surrounding translation has come a long way in a very short time,” says Erica Richter, a spokesperson for DeepL , an award-winning machine-translation service that licenses its technology to Zendesk, Coursera, Hitachi, and other businesses. “But this hasn’t happened in parallel with consumer awareness.”

I am a case in point. Although I’ve written about technology for nearly 20 years, I had no idea how deft Google Translate, Apple Translate , Microsoft Translator , and Amazon Alexa were until I started researching this story after my fateful encounter with Andre. The technology still isn’t capable of instant translation like you expect from a live human translator. But the turn-based speech-to-speech, text-to-speech, or photo-to-text translation is incredibly powerful.

And it’s getting better by the year. “Translate is one of the products we built that’s entirely using artificial intelligence,” a Google spokesperson says. “Since launching Google’s Neural Machine in 2016 , we’ve seen the largest improvements in accuracy to translate entire sentences rather than just phrases.”

At the same time, half of the six apps I tried for this story sometimes botch even basic greetings. For instance, when I asked Siri and Microsoft Translator to convert “Olá, tudo bem?” from Portuguese to English, both correctly replied, “Hi, how are you?” Google Translate and Amazon Alexa, on the other hand, returned a more literal and awkward, “Hi, everything is fine?” or “Hi, is everything OK?” Not a total fail. But enough nuance to cause hesitancy or confusion on the part of the listener.

Boone Ashworth

Gabrielle Caplan

Alistair Charlton

Adrienne So

In other words, translation technology is similar to the impressive but often clumsy writing that ChatGPT churns out. It works. It’s encouraging. It’s a sign of the times. But the result often feels inhuman, if not disorienting.

It’s still good enough to change the world, though. “We process over a billion translations every day on Translate,” says the same Google rep. “And we’ve recently launched more AI-powered features to provide contextual awareness, including the ability to translate images with Lens, which enables you to search what you see with your camera app.”

For its part, Microsoft, which includes a helpful split screen for people facing each other on its highly rated translation app, boasts similar numbers. “We now have thousands of businesses using our technology to do batch, real-time, and document translation across 141 languages, as well as millions of active users taking advantage of live conversation through Microsoft Translator,” says Marco Casalaina, VP of product for Microsoft’s Azure AI.

When it comes to machine translation, there are basically two toolkits for converting tongues: small language models, like the open-source kind Microsoft uses “to be nimble, iterate faster, and scale effectively on important user devices,” and large language models , like the proprietary kind DeepL sells to 100,000 customers.

Some say the latter approach is more accurate and faster, but there are trade-offs: fewer supported languages (only a quarter of the 140 total for small language models) and no offline access, chief among them. But as DeepL’s Richter spins it, “We don’t offer offline translation, since end devices don’t provide the quality we want when working in the cloud.”

What’s next, then, for translation apps? Big Tech is mum for now.

"We don't speculate,” says a tight-lipped publicist from Apple, which first introduced its Siri-powered Translation app in 2020. “Soon, we will expand our web service to give users more options for translating image-based content, regardless of how you search for it,” says Google’s rep. For its part, DeepL is developing significant speech improvements “launching later this year.”

But none of this would even be possible without artificial intelligence, according to every developer I spoke to. “As AI continues to unlock new translation possibilities, we will remove the remaining language barriers,” says Microsoft’s Casalaina. “The tech just needs a few years to evolve,” adds DeepL’s Richter.

As my sometimes clumsy exchanges with Andre prove, today’s translation technology is mostly awesome but still confusing at times. Given that machines have been “speaking” for only 10 to 20 years, however, it’s hard to believe how good they’ve become at understanding and translating what our species has been doing for 200,000 years.

It might not be miraculous, but it’s pretty close.

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