Machine translation is when a computer program translates text or speech from one language to another. The software uses different methods to understand and convert the language. Here are the main types:
1. Rule-Based Machine Translation (RBMT): This type uses a set of pre-defined rules about grammar and language structure to translate text. It relies on detailed language rules created by humans.
2. Statistical Machine Translation (SMT): This method looks at large amounts of translated text to find patterns and uses those patterns to make new translations. It calculates the probability of different translations being correct.
3. Neural Machine Translation (NMT): This advanced type uses artificial intelligence (AI) to understand and translate text. It uses neural networks, which are computer systems modeled after the human brain, to produce more natural and accurate translations.
4. Hybrid Machine Translation: This combines rule-based and statistical or neural methods to improve the accuracy and quality of translations.
What type of Machine Translation does Avodah do?
Avodah employs several different methods for machine translation:
1. We use neural machine translation for drafting.
2. We use a hybrid method for meaning management and flagging errors in the machine translation.