The language identifier takes raw text and tries to figure out what language it was written in. The output can either be a plain-text i18n language code or a basic KAF document containing the language and raw input text. The output of the language identifier can then be used to drive further text analysis of for example sentiments and or entities.
This software is part of a larger collection of natural language processing tools known as “the OpeNER project”. You can find more information about the project at the OpeNER portal. There you can also find references to terms like KAF (an XML standard to represent linguistic annotations in texts), component, cores, scenario’s and pipelines.
Install the Gem:
gem install opener-language-identifier
Make sure you run jruby
since the language-identifier uses Java.
You should now be able to call the language indentifier as a regular shell command: by its name. Once installed the gem normally sits in your path so you can call it directly from anywhere.
This aplication reads a text from standard input in order to identify the language.
echo "This is an English text." | language-identifier
This will output:
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<KAF xml:lang="en" version="2.1">
<raw>This is an English text.</raw>
</KAF>
If you just want the language code returned add the --no-kaf
option like this
echo "This is an English text." | language-identifier --no-kaf
For more information about the available CLI options run the following:
language-identifier --help
You can launch a language identification webservice by executing:
$ language-identifier-server
This will launch a mini webserver with the webservice. It defaults to port 9292, so you can access it at http://localhost:9292/.
To launch it on a different port provide the -p [port-number]
option like
this:
language-identifier-server -p 1234
It then launches at http://localhost:1234/
Documentation on the Webservice is provided by surfing to the urls provided
above. For more information on how to launch a webservice run the command with
the -h
option.
Last but not least the language identifier comes shipped with a daemon that can read jobs (and write) jobs to and from Amazon SQS queues. For more information type:
$ language-identifier-daemon -h
This component runs best if you run it in an environment suited for OpeNER components. You can find an installation guide and helper tools in the OpeNER installer and an installation guide on the OpenerWebsite.
At least you need the following system setup:
The internal library that actually performs the language identification already supports a lot of languages. For more information about how to extends it for more languages or functionalities, please, visit the website of the tool at https://code.google.com/p/language-detection/.
The component is a fat wrapper around the actual language technology core. Written in Java. Checkout the core/src directory of the package to get to the actual working component.
If you encounter problems, please email support@opener-project.eu or leave an issue in the issue tracker.
git checkout -b my-new-feature
)git commit -am 'Add some feature'
)git push origin my-new-feature
)Usage: language-identifier [options]
-v, --version Shows the current version
-k, --[no-]kaf Output the language as KAF
-p, --probs Provide probabilities, assumes --no-kaf
cat example_text.txt | language-identifier # Basic detection
echo "This is english text." | language-identifier # Defaults to KAF output
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<KAF xml:lang="en" version="2.1">
<raw>This is english text.</raw>
</KAF>
echo "This is een mix van Nederlandse and English text" | language-identifier --probs # output probabilities [nl:0.8579977424996601, en:0.14200189400782184]
You can launch a webservice by executing:
language-identifier-server
After launching the server, you can reach the webservice at http://localhost:9292.
The webservice takes several options that get passed along to Puma, the webserver used by the component. The options are:
-b, --bind URI URI to bind to (tcp://, unix://, ssl://)
-C, --config PATH Load PATH as a config file
--control URL The bind url to use for the control server
Use 'auto' to use temp unix server
--control-token TOKEN The token to use as authentication for the control server
-d, --daemon Daemonize the server into the background
--debug Log lowlevel debugging information
--dir DIR Change to DIR before starting
-e, --environment ENVIRONMENT The environment to run the Rack app on (default development)
-I, --include PATH Specify $LOAD_PATH directories
-p, --port PORT Define the TCP port to bind to
Use -b for more advanced options
--pidfile PATH Use PATH as a pidfile
--preload Preload the app. Cluster mode only
--prune-bundler Prune out the bundler env if possible
-q, --quiet Quiet down the output
-R, --restart-cmd CMD The puma command to run during a hot restart
Default: inferred
-S, --state PATH Where to store the state details
-t, --threads INT min:max threads to use (default 0:16)
--tcp-mode Run the app in raw TCP mode instead of HTTP mode
-V, --version Print the version information
-w, --workers COUNT Activate cluster mode: How many worker processes to create
--tag NAME Additional text to display in process listing
-h, --help Show help
The daemon has the default OpeNER daemon options. Being:
Usage: language-identifier <start|stop|restart> [options]
When calling language-identifier without <start|stop|restart> the daemon will start as a foreground process
These daemons make use of Amazon SQS queues and other Amazon services. The access to these services and other environment variables can be configured using a .opener-daemons-env file in the home directory of the current user.
It is also possible to provide the environment variables directly to the deamon.
For example:
AWS_REGION='eu-west-1' language-identifier start [other options]
We advise to have the following environment variables available:
-i, --input QUEUE_NAME Input queue name
-o, --output QUEUE_NAME Output queue name
--batch-size COUNT Request x messages at once where x is between 1 and 10
--buffer-size COUNT Size of input and output buffer. Defaults to 4 * batch-size
--sleep-interval SECONDS The interval to sleep when the queue is empty (seconds)
-r, --readers COUNT number of reader threads
-w, --workers COUNT number of worker thread
-p, --writers COUNT number of writer / pusher threads
-l, --logfile, --log FILENAME Filename and path of logfile. Defaults to STDOUT
-P, --pidfile, --pid FILENAME Filename and path of pidfile. Defaults to /var/run/language-identifier.pid
--pidpath DIRNAME Directory where to put the PID file. Is Overwritten by --pid if that option is present
--debug Turn on debug log level
--relentless Be relentless, fail fast, fail hard, do not continue processing when encountering component errors
Code | Language |
---|---|
ar | Arabic |
bg | Bulgarian |
bn | Bengali |
cs | Czech |
da | Danish |
de | German |
el | Greek |
en | English |
es | Spanish |
et | Estonian |
fa | Persian |
fi | Finnish |
fr | French |
gu | Gujarati |
he | Hebrew |
hi | Hindi |
hr | Croatian |
hu | Hungarian |
id | Indonesian |
it | Italian |
ja | Japanese |
kn | Kannada |
ko | Korean |
lt | Lithuanian |
lv | Latvian |
mk | Macedonian |
ml | Malayalam |
mr | Marathi |
ne | Nepali |
nl | Dutch |
no | Norwegian |
pa | Punjabi |
pl | Polish |
pt | Portuguese |
ro | Romanian |
ru | Russian |
sk | Slovak |
sl | Slovene |
so | Somali |
sq | Albanian |
sv | Swedish |
sw | Swahili |
ta | Tamil |
te | Telugu |
th | Thai |
tl | Tagalog |
tr | Turkish |
uk | Ukrainian |
ur | Urdu |
vi | Vietnamese |
zh-cn | Simplified Chinese |
zh-tw | Traditional Chinese |