Difference between revisions of "Apertium-apy"

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| Perform morphological tasks per word
| Perform morphological tasks per word
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|
*'''language''': language to use for tasks
*'''lang''': language to use for tasks
*'''modes''': morphological tasks to perform on text (15 combinations possible - delimit using '+')
*'''modes''': morphological tasks to perform on text (15 combinations possible - delimit using '+')
** tagger/disambig
** tagger/disambig

Revision as of 00:24, 27 December 2013

Apertium-APy stands for "Apertium API in Python". It's a simple Apertium API server written in Python, meant as a drop-in replacement for ScaleMT. It is currently found in the SVN under trunk/apertium-tools/apertium-apy, where servlet.py contains the relevant web server bits. This is meant for front ends like the one in trunk/apertium-tools/html-tools (which can be easily run using python3 -m http.server).

Installation

First, compile and install apertium/lttoolbox/apertium-lex-tools, and compile your language pairs. See Minimal_installation_from_SVN for how to do this. APY uses Tornado as its web framework, install it via pip install tornado or other variants depending on your environment. 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
export APERTIUMPATH="/path/to/apertium/svn/trunk"
./servlet.py "$APERTIUMPATH"

Optional arguments include:

  • -l --lang-names: path to sqlite database of localized language names (unicode.db by default)
  • -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
  • -x --num-processes: number of child processes (default to number of cores)

Usage

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 at /trunk/apertium-tools/apertium-html-tools.

URL Function Parameters Output
/listPairs List available language pairs None 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
 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}
/analyze or /analyse Morphologically analyze text
  • mode: 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 "mode=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
  • mode: 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 "mode=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"}
/coverage Get coverage of a language on a text
  • mode: 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?mode=en-es&q=Whereas disregard and contempt for which have outraged the conscience of mankind'
[0.9230769230769231]
/identifyLang Return a list of languages with probabilities of the text being in that language. (not yet implemented)
  • 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}

SSL

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.

Threading

Currently it uses TCPServer inheriting ThreadingMixIn. A lock on translateNULFlush (which has to have at most one thread per pipeline) ensures that part stays single-threaded (to avoid Alice getting Bob's text).

Try it out

Try testing with e.g. 

   export APERTIUMPATH="/path/to/svn/trunk"
   python3 servlet "$APERTIUMPATH" 2737 &
   
   curl -s --data-urlencode 'langpair=nb|nn' --data-urlencode \
   'q@/tmp/reallybigfile' 'http://localhost:2737/translate' >/tmp/output &
   
   curl 'http://localhost:2737/translate?langpair=nb%7Cnn&q=men+ikke+den'
   curl 'http://localhost:2737/translate?langpair=nb%7Cnn&q=men+ikke+den'
   curl 'http://localhost:2737/translate?langpair=nb%7Cnn&q=men+ikke+den'

And see how the last three (after a slight wait) start outputting before the first request is done.

TODO

  • It should be possible to set a time-out for translation threads, so if a translation is taking too long, it gets killed and the queue moves along.
  • It should use one lock per pipeline, since we don't need to wait for mk-en just because sme-nob is running.
  • http://stackoverflow.com/a/487281/69663 recommends select/polling over threading (http://docs.python.org/3.3/library/socketserver.html for more on the differences) but requires either lots of manually written dispatching code (http://pymotw.com/2/select/) or a framework like Twisted.
  • some language pairs still don't work (sme-nob?)
  • hfst-proc -g doesn't work with null-flushing (or?)
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