Phrasebook

en to need – to want to   »   de brauchen – wollen

69 [sixty-nine]

to need – to want to

to need – to want to

69 [neunundsechzig]

brauchen – wollen

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I need a bed. Ich b-a--h---in--ett. Ich brauche ein Bett. I-h b-a-c-e e-n B-t-. --------------------- Ich brauche ein Bett. 0
I want to sleep. I-- wi-- s-h-afe-. Ich will schlafen. I-h w-l- s-h-a-e-. ------------------ Ich will schlafen. 0
Is there a bed here? Gi-- -----er-e-------? Gibt es hier ein Bett? G-b- e- h-e- e-n B-t-? ---------------------- Gibt es hier ein Bett? 0
I need a lamp. I-h--r--c----i-- L--pe. Ich brauche eine Lampe. I-h b-a-c-e e-n- L-m-e- ----------------------- Ich brauche eine Lampe. 0
I want to read. Ic---il--le-en. Ich will lesen. I-h w-l- l-s-n- --------------- Ich will lesen. 0
Is there a lamp here? G-b- es-h--r e--e -amp-? Gibt es hier eine Lampe? G-b- e- h-e- e-n- L-m-e- ------------------------ Gibt es hier eine Lampe? 0
I need a telephone. Ich b----h--e-- T-l-f-n. Ich brauche ein Telefon. I-h b-a-c-e e-n T-l-f-n- ------------------------ Ich brauche ein Telefon. 0
I want to make a call. I-h--ill----e-onie-e-. Ich will telefonieren. I-h w-l- t-l-f-n-e-e-. ---------------------- Ich will telefonieren. 0
Is there a telephone here? Gi----s --er e-- Te--fon? Gibt es hier ein Telefon? G-b- e- h-e- e-n T-l-f-n- ------------------------- Gibt es hier ein Telefon? 0
I need a camera. I-- -ra-ch- -i-e-Kam---. Ich brauche eine Kamera. I-h b-a-c-e e-n- K-m-r-. ------------------------ Ich brauche eine Kamera. 0
I want to take photographs. Ic---ill-f-to-ra--e--n. Ich will fotografieren. I-h w-l- f-t-g-a-i-r-n- ----------------------- Ich will fotografieren. 0
Is there a camera here? Gi-t e- h-e- e-n----mer-? Gibt es hier eine Kamera? G-b- e- h-e- e-n- K-m-r-? ------------------------- Gibt es hier eine Kamera? 0
I need a computer. I-- brau----ein-n --mput-r. Ich brauche einen Computer. I-h b-a-c-e e-n-n C-m-u-e-. --------------------------- Ich brauche einen Computer. 0
I want to send an email. Ich-wi-l----e E--ail -ch-c---. Ich will eine E-Mail schicken. I-h w-l- e-n- E-M-i- s-h-c-e-. ------------------------------ Ich will eine E-Mail schicken. 0
Is there a computer here? G-b--es-hier-e-nen---mputer? Gibt es hier einen Computer? G-b- e- h-e- e-n-n C-m-u-e-? ---------------------------- Gibt es hier einen Computer? 0
I need a pen. I---bra---e----e- K--i. Ich brauche einen Kuli. I-h b-a-c-e e-n-n K-l-. ----------------------- Ich brauche einen Kuli. 0
I want to write something. I-h --ll etw-s --hreiben. Ich will etwas schreiben. I-h w-l- e-w-s s-h-e-b-n- ------------------------- Ich will etwas schreiben. 0
Is there a sheet of paper and a pen here? G----es-hie- -in-B---- Papi-- --d e--e------? Gibt es hier ein Blatt Papier und einen Kuli? G-b- e- h-e- e-n B-a-t P-p-e- u-d e-n-n K-l-? --------------------------------------------- Gibt es hier ein Blatt Papier und einen Kuli? 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…