User:Kiara
Kiara's page
Suggestion task:
Notes
1. How to work with APY from the command line: http://wiki.apertium.org/wiki/APY#Usage
2. How to launch Suggestions from the command line https://github.com/goavki/apertium-html-tools/pull/35
Suggestion docs:
This is for the apy page
use ./servlet.py /usr/local/share/apertium/ --wiki-username=WikiUsername --wiki-password=WikiPassword -rs=YourRecaptchaSecret to run apy in google reCaptcha mode
- -b --bypass-token: testing token is generated to bypass recaptcha
URL | Function | Parameters | Output |
---|---|---|---|
/suggest | Generate a suggestion on target wiki-page using a testing token. |
|
Returns the status. If "Success", the suggestion is posted on the target wiki-page.
Note that the correct wiki-page url is required (wiki_util.py)
Note that correct keys are required when starting apy and in the html-tools config file. curl --data 'context=otro+mundo&word=*mundo&newWord=MUNDO&langpair=esp|eng&g-recaptcha-response=testingToken' http://localhost:2737/suggest {"responseStatus": 200, "responseData": {"status": "Success"}, "responseDetails": null} |
This is for the html-tools page:
- ENABLED: turns on the suggestion mode (True/False)
- RECAPTCHA_SITE_KEY: recaptcha site key which can be obtained by registration at https://developers.google.com/recaptcha/
- CONTEXT_WRAP: a number of context words from the left
Speller backlog:
1. Localize 'Any ideas?' fixed and question
2. Punctuation fixed
3. Documentation
4. Button glitch fixed
5. Hovering over a misspelled word highlights it in black, with a second underline. fixed
6. After a word has been updated, it stays red, even though the underline disappears fixed
7. An error message for missed -translate mode fixed and question
Language detection
Apertium code | langdetect code | Language |
---|---|---|
af | af | Afrikaans |
ara | ar | Arabic |
an | N/A | Aragonese |
ast | N/A | Asturian |
bg | bg | Bulgarian |
bn | Bengali | |
br | N/A | Breton |
ca | ca | Catalan |
cs | Czech | |
cy | cy | Welsh |
dan | da | Danish |
de | German | |
el | Greek | |
en | en | English |
eo | N/A | Esperanto |
es | es | Spanish |
et | Estonian | |
eu | N/A | Basque |
fa | Persian | |
fi | Finnish | |
fra | fr | French |
gl | N/A | Galician |
gu | Gujarati | |
he | Hebrew | |
hin | hi | Hindi |
hr | Croatian | |
hu | Hungarian | |
id | id | Indonesian |
is | N/A | Icelandic |
it | it | Italian |
ja | Japanese | |
kaz | N/A (kk) | Kazakh |
kn | Kannada | |
ko | Korean | |
lt | Lithuanian | |
lv | Latvian | |
mk | mk | Macedonian |
ml | Malayalam | |
mr | Marathi (Marāṭhī) | |
ms | N/A | Malaysian |
mt | N/A | Maltese |
nob | N/A (nb) | Bokmål |
ne | Nepali | |
nl | nl | Dutch |
nno | N/A (nn) | Norwegian Nynorsk |
nor | no | Norwegian |
oc | N/A | Occitan |
pa | Panjabi | |
pl | Polish | |
pt | pt | Portuguese |
ro | ro | Romanian |
ru | Russian | |
hbs | N/A (sh) | Serbo-Croatian |
sme | N/A (se) | Northern Sami |
sk | Slovak | |
slv | sl | Slovenian |
so | Somali | |
sq | Albanian | |
swe (sv) | sv | Swedish |
sw | Swahili | |
ta | Tamil | |
te | Telugu | |
th | Thai | |
tl | Tagalog | |
tr | Turkish | |
tat | N/A (tt) | Tatar |
uk | Ukrainian | |
urd | ur | Urdu |
vi | Vietnamese | |
N/A | zh-cn | Chinese (Simplified and using Mainland Chinese terms) |
N/A | zh-tw | Chinese (Traditional and using Taiwanese terms) |
How to train a new language model:
1. Install Langdetect library (https://github.com/Mimino666/langdetect).
$ pip install langdetect
Supported Python versions 2.6, 2.7, 3.x.
2. Prepare the training data.
For instant, using Wikipedia dumps (http://wiki.apertium.org/wiki/Wikipedia_Extractor)
3. Train the model (https://github.com/Mimino666/langdetect#how-to-add-new-language)
You need to create a new language profile. The easiest way to do it is to use the langdetect.jar tool, which can generate language profiles from Wikipedia abstract database files or plain text.
Wikipedia abstract database files can be retrieved from "Wikipedia Downloads" (http://download.wikimedia.org/). They form '(language code)wiki-(version)-abstract.xml' (e.g. 'enwiki-20101004-abstract.xml' ).
usage: java -jar langdetect.jar --genprofile -d [directory path] [language codes]
- Specify the directory which has abstract databases by -d option.
- This tool can handle gzip compressed file.
Remark: The database filename in Chinese is like 'zhwiki-(version)-abstract-zh-cn.xml' or zhwiki-(version)-abstract-zh-tw.xml', so that it must be modified 'zh-cnwiki-(version)-abstract.xml' or 'zh-twwiki-(version)-abstract.xml'.
To generate language profile from a plain text, use the genprofile-text command.
usage: java -jar langdetect.jar --genprofile-text -l [language code] [text file path]
For more details see language-detection Wiki: https://code.google.com/archive/p/language-detection/wikis/Tools.wiki.
4. Locate the folder where Langdetect is installed
5. Copy the new language model to the Profiles folder
cp [options] /usr/local/lib/python3.4/dist-packages/langdetect/profiles/
6. Test the installed models:
from langdetect import detector_factory
detector_factory.init_factory()
print(detector_factory._factory.langlist)
- (nno-nob): now, → azazaz (I must go now, thank you very much eee)
- (nno-nob): you → ccc (I must go now, thank you very much eee)
- (eng-spa): eee → 123333 (que ir ahora, muchas gracias eee)
- (eng-spa): fff → 123567899 (fff Rana)
- (eng-spa): fff → zaxscdfvb (fff Rana)
- (eng-spa): fff → ;lkjhgfds (fff Rana)
- (kaz-tat): Харғыл → Һаргыл (Харғыл барғыл)
- (spa-eng): multidisciplinario → multidisciplinary (State multidisciplinario)
- (eng-spa): fff → 123345678 (fff Rana)
- (eng-spa): jabberwock → . (Como
jabberwock)
- (eng-spa): jabberwock → diaverboca (Como
jabberwock)
- (eng-spa): gg → qazz234234 (fff Rana £@¡)
- (eng-spa): eee → wertyuiojlugiut (ahora, muchas gracias eee /!£$ £@¡)
- (eng-spa): eee → [z[z[z[z[z[z[z (ahora, muchas gracias eee /!£$ £@¡)
- (spa-eng): zxzx → новое слово (I am not a zxzx.)
- (spa-eng): zaxaxa → это новое слово (am not a zxzx zaxaxa)
- (spa-eng): cat → dgdggg ttt (rad cat)
- (spa-eng): cat → gato rojo (rad cat)
- (spa-eng): rad → gato rojo (rad cat)
- (spa-eng): cat → gatooo (rad cat)
- (spa-eng): cat → qxdcty666 (rad cat)
- (spa-eng): memem → thisIsTest (Dodo foo foxie car carum memem goo cat-cat vfrtyty poipoi koo)
- (spa-eng): rnh → wdqbbyth (sader gvbfj cacafe rnh gdejb)
- (spa-eng_US): rad → хует (rad cat tat)
- (spa-eng): dva → zvn,kloi]] (ras dva tri)