Phrasebook

em to need – to want to   »   px precisar – querer

69 [sixty-nine]

to need – to want to

to need – to want to

69 [sessenta e nove]

precisar – querer

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I need a bed. Eu p------ d- u-- c---. Eu preciso de uma cama. 0
I want to sleep. Eu q---- d-----. Eu quero dormir. 0
Is there a bed here? Te- u-- c--- a---? Tem uma cama aqui? 0
I need a lamp. Eu p------ d- u-- l--------. Eu preciso de uma luminária. 0
I want to read. Eu q---- l--. Eu quero ler. 0
Is there a lamp here? Aq-- t-- u-- l--------? Aqui tem uma luminária? 0
I need a telephone. Eu p------ d- u- t-------. Eu preciso de um telefone. 0
I want to make a call. Eu q---- t--------. Eu quero telefonar. 0
Is there a telephone here? Aq-- t-- u- t-------? Aqui tem um telefone? 0
I need a camera. Eu p------ d- u-- c-----. Eu preciso de uma câmera. 0
I want to take photographs. Eu q---- t---- f----. Eu quero tirar fotos. 0
Is there a camera here? Aq-- t-- u-- c-----? Aqui tem uma câmera? 0
I need a computer. Eu p------ d- u- c---------. Eu preciso de um computador. 0
I want to send an email. Eu q---- e----- u- e-----. Eu quero enviar um e-mail. 0
Is there a computer here? Aq-- t-- u- c---------? Aqui tem um computador? 0
I need a pen. Eu p------ d- u-- c-----. Eu preciso de uma caneta. 0
I want to write something. Eu q---- e------- q------- c----. Eu quero escrever qualquer coisa. 0
Is there a sheet of paper and a pen here? Aq-- t-- u- p---- e u-- c-----? Aqui tem um papel e uma caneta? 0

Machine Translations

A person who wants to have texts translated has to pay a lot of money. Professional interpreters or translators are expensive. Despite this, it is becoming increasingly important to understand other languages. Computer scientists and computer linguists want to solve this problem. They have been working for some time now on the development of translation tools. Today, there are many different programs. But the quality of machine translations is typically not good. However, the programmers aren't at fault for that! Languages are very complex structures. Computers, on the other hand, are based on simple mathematical principles. Therefore, they can't always process languages correctly. A translation program must learn a language completely. In order for that to happen, experts have to teach it thousands of words and rules. That is practically impossible. It's easier to have a computer crunch numbers. It's good at that! A computer can calculate which combinations are common. It recognizes, for example, which words are often next to each other. For that, it has to be given texts in various languages. This way it learns what is typical for certain languages. This statistical method will improve automatic translations. However, computers cannot replace humans. No machine can imitate a human brain when it comes to language. So translators and interpreters will have work for a long time to come! In the future, simple texts could certainly be translated by computers. Songs, poetry and literature, on the other hand, need a living element. They thrive on the human feeling for language. And it's good that way…