Question

describe the problems in Machine Translation (MT) ,be specific?

Please answer in written computer, English is not my first language I can not understand handwriting

Answer 1

Ans- problems related to machine translation are-

1) Quality issues-

It is probably  the biggest problems you will encounter when using machine translation. No computer software is able to process the context in which a language is being used and thus to which the translation needs to occur. With tens of thousands of words in every language and several different meanings to thousands of words based on the context of a word being used, it is impossible for a computer program to understand context, especially in complex situations.

2) Lack of creativity -

Though machine translation does a decent job of translating some subject matter, it most surely can’t master the art of language which involves a lot of creativity. This creativity is important to understand when communicating with business partners or clients within our global market and also when communicating our message to potential clients in that same market.

3) Two many languages -

At present most widely-used machine translator, Google Translate, as the benchmark, it becomes very clear that the translation industry as a whole is very far off from reaching the goal of total automation. At present, Google translate can only translate around 80 languages.

4) Lack of feedback mechanism -

Trying to get a program to give us feedback or collaborate with us isn’t realistic. This means that if you are trying to translate an important marketing message into a foreign language for your marketing team getting ready to launch a new product in a new global market, you won’t be able to receive feedback or collaboration from any software on the best way to translate that into the foreign language.

5) lack of sensitivity towards culture -

Machine translation cannot be sensitive to cultures’ values or norms. This can cause problems by delivering the wrong message to your business associates or customer, or even worse offending them when you’re not meaning to.