- What are the disadvantages of machine translation?
- What are the challenges you would face while using machine translation?
- Is automatic machine translation possible?
- Why is machine translation a difficult problem to solve?
What are the disadvantages of machine translation?
The disadvantages of machine translation
Consistency: Quality varies greatly depending on the complexity of input language and the linguistic distance between the source and target languages. Word-for-word output: Despite improvements, algorithms still produce outputs largely consisting of word-for-word translations.
What are the challenges you would face while using machine translation?
We explore six challenges for neural machine translation: domain mismatch, amount of training data, rare words, long sentences, word alignment, and beam search. We show both deficiencies and improvements over the quality of phrase- based statistical machine translation.
Is automatic machine translation possible?
Automated translation may be used to automate the machine translation of text as a stage in the localization workflow. However, automated translation and machine translation are not interchangeable terms as they serve entirely different functions.
Why is machine translation a difficult problem to solve?
Why Machine Translation Is Hard. Many factors contribute to the difficulty of machine translation, including words with multiple meanings, sentences with multiple grammatical structures, uncertainty about what a pronoun refers to, and other problems of grammar.