Moses creates a basic process record for the translation system. The detailed description of each process will be followed and the parameter description for each step will be given.

Software requirements:

First you have to have Moses (nonsense haha), then you have to have Giza ++ aligned with words (used in traning-model.perl), irstlm produces language models

General steps:

The general steps are as follows:

1. Prepare parallerl data (Sentence Alignment required): Perform tokenisation, truecasing, and cleaning on the corpus before using the Machine Translation System (Haha, I can't help writing the detailed steps directly)
2. Train your language model (using irstlm): Of course, there are several steps to explain in detail.
3. Then train your translation system (it may take an hour or two): (2) Run Giza
   (3) align words
   (4) Learn lexical Translation
   (5) extract phrases
   (6) score phrases
   (7) Learn reordering Model
   (8) Learn generation model
   (9) Create decoder Config File
   
   
4. Finally, it takes a few hours to adjust the tuning.
5. Finally, you can run it. If you are too slow to start, you can convert the model to binarised-model, which will be faster. Of course, you need to change something, but it is very simple.

Detailed steps and instructions:

 

Moses creates a basic process record for the translation system. The detailed description of each process will be followed and the parameter description for each step will be given.