Difference between revisions of "Apertium-apy"

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| Returns the translated document.
| Returns the translated document.
$ curl --form 'file=@/path/to/file.odt' 'http://localhost:2737/translateDoc?langpair=kaz|tat'
$ curl --form 'file=@/path/to/kaz.odt' 'http://localhost:2737/translateDoc?langpair=kaz|tat' > tat.odt

Revision as of 09:17, 11 February 2016

Apertium-APy stands for "Apertium API in Python". It's a simple Apertium API server written in Python 3, meant as a drop-in replacement for ScaleMT. Its primary/intended purpose is requests from web applications, though it's fairly versatile. It is currently found in the SVN under trunk/apertium-tools/apertium-apy, where servlet.py contains the relevant web server bits. The server is used by front ends like apertium-html-tools (on apertium.org) and Mediawiki Content Translation.

The http://apertium.org page uses the installation at http://apy.projectjj.com which currently only runs released language pairs. However, APY is very easy to set up on your own server, where you can run all the development pairs and even analysers and taggers (like what http://turkic.apertium.org does), read on for how to do that.


See /Debian for a complete quickstart installation guide for Debian, Ubuntu etc.

First, install apertium/lttoolbox/apertium-lex-tools, and your language pairs. See Installation for how to do this.

You should have Python 3.3 or newer (though 3.2 has been reported to work as of 324a185).

APY uses Tornado 3.1 or newer as its web framework. Ensure that you install the Python 3.3 (or newer) versions of any dependencies. On Debian/Ubuntu, you can do

sudo apt-get install build-essential python3-dev python3-pip zlib1g-dev subversion
sudo pip3 install --upgrade tornado

Then checkout APY from SVN and run it:

svn co https://svn.code.sf.net/p/apertium/svn/trunk/apertium-tools/apertium-apy
cd apertium-apy
./servlet.py /usr/share/apertium   # the server will use all .mode files from under this directory, use /usr/local/share/apertium for "make install"ed pairs

See ./servlet.py --help for documentation on how to start APY. Here are some popular optional arguments:

  • -l --lang-names: path to sqlite3 database of localized language names (see #List localised language names; you should include this if you're using apertium-html-tools)
  • -p --port: port to run server on (2737 by default)
  • -c --ssl-cert: path to SSL certificate
  • -k --ssl-key: path to SSL key file
  • -j --num-processes: number of http processes to run (default = 1; use 0 to run one http server per core, where each http server runs all available language pairs)
  • -s --nonpairs-path: include .mode files from this directory, like with the main arg, but skip translator (pair) modes, only include analyser/translator/generator modes from this directory (handy for use with apertium SVN)
  • -f --missing-freqs: path to sqlite3 database of words that were unknown (requires sudo apt-get install sqlite3)
  • -i --max-pipes-per-pair: how many pipelines we can have per language pair (per http server), default = 1
  • -u --max-users-per-pipe: if there are this many concurrent users in the least-used pipeline of a pair (and we haven't reached max-pipes-per-pair), start a new pipeline (default = 5)
  • -m --max-idle-secs: after each translation request, go through the list of language pairs and shut down any pair that hasn't been used in the last MAX_IDLE_SECS seconds (to save on RAM)
  • -n --min-pipes-per-pair: when shutting down idle pairs, keep at least this many open (default = 0)
  • -r --restart-pipe-after: if a pipeline has been used for this many requests, shut it down (to avoid possible memory creep if a pair has bugs) after it has handled its current requests

Installing dependencies without root

If you don't have root, you can still install the python dependencies with

$ pip3 install --user --upgrade tornado

(But your server still needs build-essential python3-dev python3-pip zlib1g-dev installed.)

Then you just need to run

PYTHONPATH="/usr/local/lib/python3.3/site-packages:${PYTHONPATH}"; export PYTHONPATH

before starting APY.

Optional features

List localised language names

If you use apertium-html-tools, you probably want localised language names instead of three-letter codes. To get this, first install sqlite3 (on Debian/Ubuntu that's sudo apt-get install sqlite3), then do


to create the langNames.db used for the /listLanguageNames function.

Language identification

The /identifyLang function can provide language identification.

If you install Compact Language Detection 2 (CLD2), you get fast and fairly accurate language detection. Installation can be a bit tricky though.

Alternatively, you can start servlet.py with the -s argument pointing to a directory of language pairs with analyser modes, in which case APY will try to do language detection by analysing the text and finding which analyser had the least unknowns. This is a bit slow though :-)

APY will prefer using CLD2 if it's available, otherwise fall back to analyser coverage.


APY supports three types of requests: GET, POST, and JSONP. Using GET/POST are possible only if APY is running on the same server as the client due to cross-site scripting restrictions; however, JSONP requests are permitted in any context and will be useful. Using curl, APY can easily be tested:

curl -G --data "lang=kaz-tat&modes=morph&q=алдым" http://localhost:2737/perWord

It can also be tested through your browser or through HTTP calls. Unfortunately, curl does not decode JSON output by default and to make testing easier, a APY Sandbox is provided in the SVN with Apertium-html-tools.

URL Function Parameters Output
/listPairs List available language pairs
  • include_deprecated_codes: give this parameter to include old ISO-639-1 codes in output
To be consistent with ScaleMT, the returned JS Object contains a responseData key with an Array of language pair objects with keys sourceLanguage and targetLanguage.
$ curl 'http://localhost:2737/listPairs'

{"responseStatus": 200, "responseData": [
 {"sourceLanguage": "kaz", "targetLanguage": "tat"}, 
 {"sourceLanguage": "tat", "targetLanguage": "kaz"}, 
 {"sourceLanguage": "mk", "targetLanguage": "en"}
], "responseDetails": null}
/list List available mode information
  • q: type of information to list
    • pairs (alias for /listPairs)
    • analyzers/analysers
    • generators
    • taggers/disambiguators
The returned JS Object contains a mapping from language pairs to mode names (used internally by Apertium).
$ curl 'http://localhost:2737/list?q=analyzers'
{"mk-en": "mk-en-morph", "en-es": "en-es-anmor", "kaz-tat": "kaz-tat-morph", 
 "tat-kaz": "tat-kaz-morph", "fin": "fin-morph", "es-en": "es-en-anmor", "kaz": "kaz-morph"}
$ curl 'http://localhost:2737/list?q=generators'
{"en-es": "en-es-generador", "fin": "fin-gener", "es-en": "es-en-generador"}
$ curl 'http://localhost:2737/list?q=taggers'
{"es-en": "es-en-tagger", "en-es": "en-es-tagger", "mk-en": "mk-en-tagger",
 "tat-kaz": "tat-kaz-tagger", "kaz-tat": "kaz-tat-tagger", "kaz": "kaz-tagger"}
/translate Translate text
  • langpair: language pair to use for translation
  • q: text to translate
  • markUnknown=no (optional): include this to remove "*" in front of unknown words
To be consistent with ScaleMT, the returned JS Object contains a responseData key with an JS Object that has key translatedText that contains the translated text.
$ curl 'http://localhost:2737/translate?langpair=kaz|tat&q=Сен+бардың+ба?'
{"responseStatus": 200, "responseData": {"translatedText": "Син барныңмы?"}, "responseDetails": null}
$ echo Сен бардың ба? > myfile
$ curl --data-urlencode 'q@myfile' 'http://localhost:2737/translate?langpair=kaz|tat'
{"responseStatus": 200, "responseData": {"translatedText": "Син барныңмы?"}, "responseDetails": null}
/translateDoc Translate a document (.odt, .txt, .rtf, .html, .docx, .pptx, .xlsx, .tex)
  • langpair: language pair to use for translation
  • file: document to translate
  • markUnknown=no (optional): include this to remove "*" in front of unknown words
Returns the translated document.
$ curl --form 'file=@/path/to/kaz.odt' 'http://localhost:2737/translateDoc?langpair=kaz|tat' > tat.odt
/analyze or /analyse Morphologically analyze text
  • lang: language to use for analysis
  • q: text to analyze
The returned JS Array contains JS Arrays in the format [analysis, input-text].
$ curl -G --data "lang=kaz&q=Сен+бардың+ба?" http://localhost:2737/analyze
[["Сен/сен<v><tv><imp><p2><sg>/сен<prn><pers><p2><sg><nom>","Сен "], ["бардың ба/бар<adj><subst><gen>+ма<qst>/бар<v><iv><ifi><p2><sg>+ма<qst>","бардың ба"], ["?/?<sent>","?"]]
/generate Generate surface forms from text
  • lang: language to use for generation
  • q: text to generate
The returned JS Array contains JS Arrays in the format [generated, input-text].
$ curl -G --data "lang=kaz&q=^сен<v><tv><imp><p2><sg>$" http://localhost:2737/generate
[["сен","^сен<v><tv><imp><p2><sg>$ "]]
/perWord Perform morphological tasks per word
  • lang: language to use for tasks
  • modes: morphological tasks to perform on text (15 combinations possible - delimit using '+')
    • tagger/disambig
    • biltrans
    • translate
    • morph
  • q: text to perform tasks on
The returned JS Array contains JS Objects each containing the key input and up to 4 other keys corresponding to the requested modes (tagger, morph, biltrans and translate).
curl 'http://localhost:2737/perWord?lang=en-es&modes=morph&q=let+there+be+light'
[{"input": "let", "morph": ["let<vblex><inf>", "let<vblex><pres>", "let<vblex><past>", "let<vblex><pp>"]}, {"input": "there", "morph": ["there<adv>"]}, {"input": "be", "morph": ["be<vbser><inf>"]}, {"input": "light", "morph": ["light<n><sg>", "light<adj><sint>", "light<vblex><inf>", "light<vblex><pres>"]}]

curl 'http://localhost:2737/perWord?lang=en-es&modes=tagger&q=let+there+be+light'
[{"input": "let", "tagger": "let<vblex><pp>"}, {"input": "there", "tagger": "there<adv>"}, {"input": "be", "tagger": "be<vbser><inf>"}, {"input": "light", "tagger": "light<adj><sint>"}]

curl 'http://localhost:2737/perWord?lang=en-es&modes=morph+tagger&q=let+there+be+light'
[{"input": "let", "morph": ["let<vblex><inf>", "let<vblex><pres>", "let<vblex><past>", "let<vblex><pp>"], "tagger": "let<vblex><pp>"}, {"input": "there", "morph": ["there<adv>"], "tagger": "there<adv>"}, {"input": "be", "morph": ["be<vbser><inf>"], "tagger": "be<vbser><inf>"}, {"input": "light", "morph": ["light<n><sg>", "light<adj><sint>", "light<vblex><inf>", "light<vblex><pres>"], "tagger": "light<adj><sint>"}]

curl 'http://localhost:2737/perWord?lang=en-es&modes=translate&q=let+there+be+light'
[{"input": "let", "translate": ["dejar<vblex><pp>"]}, {"input": "there", "translate": ["all\u00ed<adv>"]}, {"input": "be", "translate": ["ser<vbser><inf>"]}, {"input": "light", "translate": ["ligero<adj>"]}]

curl 'http://localhost:2737/perWord?lang=en-es&modes=biltrans&q=let+there+be+light'
[{"input": "let", "biltrans": ["dejar<vblex><inf>", "dejar<vblex><pres>", "dejar<vblex><past>", "dejar<vblex><pp>"]}, {"input": "there", "biltrans": ["all\u00ed<adv>"]}, {"input": "be", "biltrans": ["ser<vbser><inf>"]}, {"input": "light", "biltrans": ["luz<n><f><sg>", "ligero<adj>", "encender<vblex><inf>", "encender<vblex><pres>"]}]

curl 'http://localhost:2737/perWord?lang=en-es&modes=translate+biltrans&q=let+there+be+light'
[{"input": "let", "translate": ["dejar<vblex><pp>"], "biltrans": ["dejar<vblex><inf>", "dejar<vblex><pres>", "dejar<vblex><past>", "dejar<vblex><pp>"]}, {"input": "there", "translate": ["all\u00ed<adv>"], "biltrans": ["all\u00ed<adv>"]}, {"input": "be", "translate": ["ser<vbser><inf>"], "biltrans": ["ser<vbser><inf>"]}, {"input": "light", "translate": ["ligero<adj>"], "biltrans": ["luz<n><f><sg>", "ligero<adj>", "encender<vblex><inf>", "encender<vblex><pres>"]}]

curl 'http://localhost:2737/perWord?lang=en-es&modes=morph+biltrans&q=let+there+be+light'
[{"input": "let", "morph": ["let<vblex><inf>", "let<vblex><pres>", "let<vblex><past>", "let<vblex><pp>"], "biltrans": ["dejar<vblex><inf>", "dejar<vblex><pres>", "dejar<vblex><past>", "dejar<vblex><pp>"]}, {"input": "there", "morph": ["there<adv>"], "biltrans": ["all\u00ed<adv>"]}, {"input": "be", "morph": ["be<vbser><inf>"], "biltrans": ["ser<vbser><inf>"]}, {"input": "light", "morph": ["light<n><sg>", "light<adj><sint>", "light<vblex><inf>", "light<vblex><pres>"], "biltrans": ["luz<n><f><sg>", "ligero<adj>", "encender<vblex><inf>", "encender<vblex><pres>"]}]

curl 'http://localhost:2737/perWord?lang=en-es&modes=tagger+biltrans&q=let+there+be+light'
[{"input": "let", "biltrans": ["dejar<vblex><inf>", "dejar<vblex><pres>", "dejar<vblex><past>", "dejar<vblex><pp>"], "tagger": "let<vblex><pp>"}, {"input": "there", "biltrans": ["all\u00ed<adv>"], "tagger": "there<adv>"}, {"input": "be", "biltrans": ["ser<vbser><inf>"], "tagger": "be<vbser><inf>"}, {"input": "light", "biltrans": ["luz<n><f><sg>", "ligero<adj>", "encender<vblex><inf>", "encender<vblex><pres>"], "tagger": "light<adj><sint>"}]

curl 'http://localhost:2737/perWord?lang=en-es&modes=tagger+translate&q=let+there+be+light'
[{"input": "let", "translate": ["dejar<vblex><pp>"], "tagger": "let<vblex><pp>"}, {"input": "there", "translate": ["all\u00ed<adv>"], "tagger": "there<adv>"}, {"input": "be", "translate": ["ser<vbser><inf>"], "tagger": "be<vbser><inf>"}, {"input": "light", "translate": ["ligero<adj>"], "tagger": "light<adj><sint>"}]

curl 'http://localhost:2737/perWord?lang=en-es&modes=morph+translate&q=let+there+be+light'
[{"translate": ["dejar<vblex><pp>"], "input": "let", "morph": ["let<vblex><inf>", "let<vblex><pres>", "let<vblex><past>", "let<vblex><pp>"]}, {"translate": ["all\u00ed<adv>"], "input": "there", "morph": ["there<adv>"]}, {"translate": ["ser<vbser><inf>"], "input": "be", "morph": ["be<vbser><inf>"]}, {"translate": ["ligero<adj>"], "input": "light", "morph": ["light<n><sg>", "light<adj><sint>", "light<vblex><inf>", "light<vblex><pres>"]}]

curl 'http://localhost:2737/perWord?lang=en-es&modes=translate+biltrans+tagger&q=let+there+be+light'
[{"input": "let", "translate": ["dejar<vblex><pp>"], "biltrans": ["dejar<vblex><inf>", "dejar<vblex><pres>", "dejar<vblex><past>", "dejar<vblex><pp>"], "tagger": "let<vblex><pp>"}, {"input": "there", "translate": ["all\u00ed<adv>"], "biltrans": ["all\u00ed<adv>"], "tagger": "there<adv>"}, {"input": "be", "translate": ["ser<vbser><inf>"], "biltrans": ["ser<vbser><inf>"], "tagger": "be<vbser><inf>"}, {"input": "light", "translate": ["ligero<adj>"], "biltrans": ["luz<n><f><sg>", "ligero<adj>", "encender<vblex><inf>", "encender<vblex><pres>"], "tagger": "light<adj><sint>"}]

curl 'http://localhost:2737/perWord?lang=en-es&modes=morph+biltrans+tagger&q=let+there+be+light'
[{"input": "let", "morph": ["let<vblex><inf>", "let<vblex><pres>", "let<vblex><past>", "let<vblex><pp>"], "biltrans": ["dejar<vblex><inf>", "dejar<vblex><pres>", "dejar<vblex><past>", "dejar<vblex><pp>"], "tagger": "let<vblex><pp>"}, {"input": "there", "morph": ["there<adv>"], "biltrans": ["all\u00ed<adv>"], "tagger": "there<adv>"}, {"input": "be", "morph": ["be<vbser><inf>"], "biltrans": ["ser<vbser><inf>"], "tagger": "be<vbser><inf>"}, {"input": "light", "morph": ["light<n><sg>", "light<adj><sint>", "light<vblex><inf>", "light<vblex><pres>"], "biltrans": ["luz<n><f><sg>", "ligero<adj>", "encender<vblex><inf>", "encender<vblex><pres>"], "tagger": "light<adj><sint>"}]

curl 'http://localhost:2737/perWord?lang=en-es&modes=morph+translate+tagger&q=let+there+be+light'
[{"translate": ["dejar<vblex><pp>"], "input": "let", "morph": ["let<vblex><inf>", "let<vblex><pres>", "let<vblex><past>", "let<vblex><pp>"], "tagger": "let<vblex><pp>"}, {"translate": ["all\u00ed<adv>"], "input": "there", "morph": ["there<adv>"], "tagger": "there<adv>"}, {"translate": ["ser<vbser><inf>"], "input": "be", "morph": ["be<vbser><inf>"], "tagger": "be<vbser><inf>"}, {"translate": ["ligero<adj>"], "input": "light", "morph": ["light<n><sg>", "light<adj><sint>", "light<vblex><inf>", "light<vblex><pres>"], "tagger": "light<adj><sint>"}]

curl 'http://localhost:2737/perWord?lang=en-es&modes=morph+translate+biltrans&q=let+there+be+light'
[{"translate": ["dejar<vblex><pp>"], "input": "let", "morph": ["let<vblex><inf>", "let<vblex><pres>", "let<vblex><past>", "let<vblex><pp>"], "biltrans": ["dejar<vblex><inf>", "dejar<vblex><pres>", "dejar<vblex><past>", "dejar<vblex><pp>"]}, {"translate": ["all\u00ed<adv>"], "input": "there", "morph": ["there<adv>"], "biltrans": ["all\u00ed<adv>"]}, {"translate": ["ser<vbser><inf>"], "input": "be", "morph": ["be<vbser><inf>"], "biltrans": ["ser<vbser><inf>"]}, {"translate": ["ligero<adj>"], "input": "light", "morph": ["light<n><sg>", "light<adj><sint>", "light<vblex><inf>", "light<vblex><pres>"], "biltrans": ["luz<n><f><sg>", "ligero<adj>", "encender<vblex><inf>", "encender<vblex><pres>"]}]

curl 'http://localhost:2737/perWord?lang=en-es&modes=morph+translate+biltrans+tagger&q=let+there+be+light'
[{"translate": ["dejar<vblex><pp>"], "input": "let", "morph": ["let<vblex><inf>", "let<vblex><pres>", "let<vblex><past>", "let<vblex><pp>"], "biltrans": ["dejar<vblex><inf>", "dejar<vblex><pres>", "dejar<vblex><past>", "dejar<vblex><pp>"], "tagger": "let<vblex><pp>"}, {"translate": ["all\u00ed<adv>"], "input": "there", "morph": ["there<adv>"], "biltrans": ["all\u00ed<adv>"], "tagger": "there<adv>"}, {"translate": ["ser<vbser><inf>"], "input": "be", "morph": ["be<vbser><inf>"], "biltrans": ["ser<vbser><inf>"], "tagger": "be<vbser><inf>"}, {"translate": ["ligero<adj>"], "input": "light", "morph": ["light<n><sg>", "light<adj><sint>", "light<vblex><inf>", "light<vblex><pres>"], "biltrans": ["luz<n><f><sg>", "ligero<adj>", "encender<vblex><inf>", "encender<vblex><pres>"], "tagger": "light<adj><sint>"}]

/listLanguageNames Get localized language names
  • locale: language to get localized language names in
  • languages: list of '+' delimited language codes to retrieve localized names for (optional - if not specified, all available codes will be returned)
The returned JS Object contains a mapping of requested language codes to localized language names
$ curl 'http://localhost:2737/listLanguageNames?locale=fr&languages=ca+en+mk+tat+kk'
{"ca": "catalan", "en": "anglais", "kk": "kazakh", "mk": "macédonien", "tat": "tatar"}
/calcCoverage Get coverage of a language on a text
  • lang: language to analyze with
  • q: text to analyze for coverage
The returned JS Array contains a single floating point value ≤ 1 that indicates the coverage.
$ curl 'http://localhost:2737/getCoverage?lang=en-es&q=Whereas disregard and contempt for which have outraged the conscience of mankind'
/identifyLang Return a list of languages with probabilities of the text being in that language. Uses CLD2 if that's installed, otherwise will try any analyser modes.
  • q: text which you would like to compute probabilities for
The returned JS Object contains a mapping from language codes to probabilities.
$ curl 'http://localhost:2737/identifyLang?q=This+is+a+piece+of+text.'
{"ca": 0.19384234, "en": 0.98792465234, "kk": 0.293442432, "zh": 0.002931001}


APY supports HTTPS out of the box. To test with a self-signed signature, create a certificate and key by running:

openssl req -new -x509 -keyout server.key -out server.crt -days 365 -nodes

Then run APY with --sslKey server.key --sslCert server.crt, and test with HTTPS and the -k argument to curl (-k means curl accepts self-signed or even slightly "lying" signatures):

curl -k -G --data "mode=kaz-tat&q=Сен+бардың+ба?" https://localhost:2737/analyze

If you have a real signed certificate, you should be able to use curl without -k for the domain which the certificate is signed for:

curl -G --data "mode=kaz-tat&q=Сен+бардың+ба?" https://oohlookatmeimencrypted.com:2737/analyze

Remember to open port 2737 to your server.


A gateway for APY is located in the same SVN directory and provides functionality such as silently intercepting and forwarding requests, and aggregating APY instance capabilities for overriding /list requests. For example, a gateway provided access to two servers with varied capabilities, in terms of language pairs, will report aggregated capabilities to the client, hiding the existence of two servers.

A list of APY servers is a required positional argument; an example server list is provided in the same SVN directory. If the gateway is requested to run on a already occupied port, it will attempt to traverse the available ports until it can bind on to a free one.

The gateway currently operates on a Fastest paradigm load balancer that continuously adapts to changing circumstances by basing its routing on the client's requests. On initialization, all servers are assigned a weight of 0 and consequently, each server will be eventually utilized as the gateway determines the server speeds. The gateway stores a moving average of the last x requests for each (mode, language) and forwards requests to the fastest server as measured in units of response time per response length.

Upstart scripts

You can use upstart scripts to automatically run the apy and html-tools on startup and respawn the processes when they get killed. If you don't have upstart installed: sudo apt-get install upstart

The apertiumconfig file contains paths of some apertium directories and the serverlist file. It can be saved anywhere. Make sure the paths are correct!


#optional, see 'Logging':

The following upstart scripts have to be saved in /etc/init.


description "start/stop all apertium services"
start on startup


description "apertium-apy init script"

start on starting apertium-all
stop on stopped apertium-all
respawn limit 50 300

env CONFIG=/etc/default/apertium

    . $CONFIG
    python3 $APYPATH/servlet.py $APERTIUMPATH
end script


description "apertium-apy gateway init script"
start on starting apertium-all
stop on stopped apertium-all
respawn limit 50 300
env CONFIG=/home/user/apertiumconfig

    . $CONFIG
    python3 $APYPATH/gateway.py $SERVERLIST
end script 


description "apertium-html-tools init script"
start on starting apertium-all
stop on stopped apertium-all
respawn limit 50 300
env CONFIG=/etc/default/apertium

    . $CONFIG
    python3 -m http.server 8888
end script

Use sudo start apertium-all to start all services. Just like the filenames, the jobs are called apertium-apy, apertium-apy-gateway and apertium-html-tools.

The jobs can be independently started by: sudo start JOB

You can stop them by using sudo stop JOB

Restart: sudo restart JOB

View the status and PID: sudo status JOB


The log files of the processes can be found in the /var/log/upstart/ folder.

The starting/stopping of the jobs can be logged by appending this to the end of apertium-apy.conf, apertium-apy-gateway.conf and apertium-html-tools.conf files.

pre-start script
	touch $LOGFILE
	echo "`date` $UPSTART_JOB started" >> $LOGFILE	
end script

post-stop script
	touch $LOGFILE
	echo "`date` $UPSTART_JOB stoppped" >> $LOGFILE	
end script


  • hfst-proc -g and lrx-proc don't work with null-flushing, see https://sourceforge.net/p/hfst/bugs/240/ and https://sourceforge.net/p/apertium/tickets/45/
  • translation cache
  • variants like ca_valencia, oc_aran and pt_BR look odd on the web page?
  • gateway: we need a way to have a second server running only the most popular language pairs, and a gateway that sends requests to whichever server has the requested pair. Simply doing -j2 is not a good solution, since we'd waste a lot of RAM on keeping open pipelines that are rarely used. (Or we could turn off pipelines after not being used for a while …)


If you encounter errors involving enable_pretty_logging() while starting APY, comment out the line with a leading # to solve the issue.

What was the error? This should be possible to fix / work around.

High IO usage

If you are logging unknowns (-f / --missing-freqs), you should probably also give some value to -M (e.g. -M1000), otherwise you might get a lot of disk usage on that sqlite file.

'return' with argument inside generator on python 3.2 or older

Traceback (most recent call last):   
File "./servlet.py", line 25, in <module>     import translation   
File "translation.py", line 132
     return proc_reformat.communicate()[0].decode('utf-8') 
SyntaxError: 'return' with argument inside generator

Solution: upgrade to Python 3.3 or newer.


  • /Translation
  • /Debian – quickstart installation guide for running your very own APY server on Debian, Ubuntu etc.