Web service for implementing a large-scale translation memory amaGama

Web service for implementing a large-scale translation memory.

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The web site amagama.translatehouse.org presently has a traffic classification of zero (the smaller the superior). We have traversed three pages inside the web site amagama.translatehouse.org and found one website referencing amagama.translatehouse.org.
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3
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1

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LINKS TO WEBSITE

amaGama.locamotion.org - Translate memory lookup

FOSS translations gathered together in just one place. AmaGama is a web service written in Python implementing a large-scale translation memory on top of the PostgreSQL database server. A translation memory is a database of previous translations which can be searched to find good matches to new strings. AmaGama can be used in conjunction with the Virtaal. AmaGama is released under the GNU General Public License, version 3 or later.

WHAT DOES AMAGAMA.TRANSLATEHOUSE.ORG LOOK LIKE?

Desktop Screenshot of amagama.translatehouse.org Mobile Screenshot of amagama.translatehouse.org Tablet Screenshot of amagama.translatehouse.org

AMAGAMA.TRANSLATEHOUSE.ORG SERVER

Our crawlers found that the main root page on amagama.translatehouse.org took two hundred and twenty-five milliseconds to download. I could not detect a SSL certificate, so in conclusion our parsers consider this site not secure.
Load time
0.225 sec
SSL
NOT SECURE
IP
23.235.46.133

WEBSITE ICON

SERVER SOFTWARE AND ENCODING

We revealed that amagama.translatehouse.org is implementing the GitHub.com os.

SITE TITLE

Web service for implementing a large-scale translation memory amaGama

DESCRIPTION

Web service for implementing a large-scale translation memory.

PARSED CONTENT

The web site states the following, "Web service for implementing a large-scale translation memory." I noticed that the web site stated " Find the closest matches to your current text using powerful matching algorithms such as Levenshtein distance measures." They also said " Optimized for speed so that your translators get the matches they need as quickly as possible. Load many different file formats so that your Translation Memory can be constructed from your existing data."

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