Combining machine translated sentence chunks from multiple MT systems

This is a hybrid solution for acquiring the best translation of an input sentence by combining translated chunks from multiple online MT engines

Included software

THE BERKELEY PARSER - https://github.com/slavpetrov/berkeleyparser
- You can find some grammar files here
Query from KenLM - https://github.com/kpu/kenlm

PHP with curl
Java (for the Berkeley Parser)
Berkeley Parser compatible grammar
KenLM compatible language model (preferrably binarized)
Access to at least two APIs
- Google Translate - https://cloud.google.com/translate/
- Bing Translator - http://www.bing.com/dev/en-us/translator
- LetsMT - https://www.letsmt.eu
Tokenized input sentences

Upload the files to your server. Set execute permissions (chmod 755) for exp.sh, query and utils/translated_chunks_to_hybrid/query.

The ChunkMT requires three parameters - the language model, input sentences, grammar file. It is run with the following command:

php ChunkMT.php <language model> <input sentences> <grammar>

For example:

php ChunkMT.php languageModel.binary inputSentences.txt eng_sm6.gr

The output generates four three files:

The utils directory contains separate parts of the ChunkMT system that can be run as standalone

utils/chunking/ contains files for individual chunking and unchunking
- to parse an input file with the Berkeley Parser (a parsed file is required as input for the chunker) run:
```
 java -Xmx1024m -jar BerkeleyParser-1.7.jar -gr grammar.gr < input.txt
```
utils/chunks_to_translated_chunks/ contains files for individual translating of chunked files
utils/translated_chunks_to_hybrid/ contains files for running the hybrid system with chunked translated files