tmserver

tmserver is a Translation Memory service that can be queried via HTTP using a simple REST like URL/http and data is exchanged between server and client encoded in JSON.

Note

If you are searching for an enterprise Translation Memory server then rather use amaGama.

Usage

tmserver.py --bind=HOSTNAME --port=PORT [--tmdb=TMDBFILE] [--import-translation-file=TMFILE [--import-source-lang=SOURCE_LANG] [--import-target-lang=TARGET_LANG]]

Where:

TMDBFILE is the SQLite database file containing translation memory data, if not specified a new temporary database is created
TMFILE is a translation file (po, xliff, etc.) that should be imported into the database (mostly useful when no tmdb file is specified).

Options:

-h, --help show this help message and exit
-d TMDBFILE, --tmdb=TMDBFILE
 translation memory database file
-f TMFILES, --import-translation-file=TMFILES
 translation file to import into the database
-t TARGET_LANG, --import-target-lang=TARGET_LANG
 target language of translation files
-s SOURCE_LANG, --import-source-lang=SOURCE_LANG
 source language of translation files
-b BIND, --bind=BIND
 adress to bind server to (default: localhost)
-p PORT, --port=PORT
 port to listen on (default: 8888)
--max-candidates=MAX_CANDIDATES
 Maximum number of candidates
--min-similarity=MIN_SIMILARITY
 minimum similarity
--max-length=MAX_LENGTH
 Maxmimum string length
--debug enable debugging features

Testing

easiest way to run the server for testing is to pass it a large translation file (maybe generated by pocompendium) to create a tmdb database on the fly.

tmserver -b localhost -p 8080 -f compendium.po -s en_US -t ar

The server can be queried using a webbrowser. the url would be:

http://HOST:PORT/tmserver/SOURCE_LANG/TARGET_LANG/unit/STRING

So to see suggestions for “open file” try the url http://localhost:8080/tmserver/en_US/ar/unit/open+file