How can I retrieve Wiktionary word content?

ApiDictionaryMediawiki ApiWiktionary

Api Problem Overview


How may Wiktionary's API be used to determine whether or not a word exists?

Api Solutions


Solution 1 - Api

The Wiktionary API can be used to query whether or not a word exists.

Examples for existing and non-existing pages:

> http://en.wiktionary.org/w/api.php?action=query&titles=test > http://en.wiktionary.org/w/api.php?action=query&titles=testx

The first link provides examples on other types of formats that might be easier to parse.

To retrieve the word's data in a small XHTML format (should more than existence be required), request the printable version of the page:

> http://en.wiktionary.org/w/index.php?title=test&printable=yes > http://en.wiktionary.org/w/index.php?title=testx&printable=yes

These can then be parsed with any standard XML parser.

Solution 2 - Api

There are a few caveats in just checking that Wiktionary has a page with the name you are looking for:

Caveat #1: All Wiktionaries including the English Wiktionary actually have the goal of including every word in every language, so if you simply use above API call you will know that the word you are asking about is a word in at least one language, but not necessarily English: http://en.wiktionary.org/w/api.php?action=query&titles=dicare

Caveat #2: Perhaps a redirect exists from one word to another word. It might be from an alternative spelling, but it might be from an error of some kind. The API call above will not differentiate between a redirect and an article: http://en.wiktionary.org/w/api.php?action=query&titles=profilemetry

Caveat #3: Some Wiktionaries including the English Wiktionary include "common misspellings": http://en.wiktionary.org/w/api.php?action=query&titles=fourty

Caveat #4: Some Wiktionaries allow stub entries which have little or no information about the term. This used to be common on several Wiktionaries but not the English Wiktionary. But it seems to have now spread also to the English Wiktionary: https://en.wiktionary.org/wiki/%E6%99%B6%E7%90%83 (permalink for when the stub is filled so you can still see what a stub looks like: https://en.wiktionary.org/w/index.php?title=%E6%99%B6%E7%90%83&oldid=39757161)

If these are not included in what you want, you will have to load and parse the wikitext itself, which is not a trivial task.

Solution 3 - Api

You can download a dump of Wiktionary data. There's more information in the FAQ. For your purposes, the definitions dump is probably a better choice than the XML dump.

Solution 4 - Api

To keep it really simple, extract the words from the dump like this:

bzcat pages-articles.xml.bz2 | grep '<title>[^[:space:][:punct:]]*</title>' | sed 's:.*<title>\(.*\)</title>.*:\1:' > words

Solution 5 - Api

If you are using Python, you can use WiktionaryParser by Suyash Behera.

You can install it by

sudo pip install wiktionaryparser

Example usage:

>>> from wiktionaryparser import WiktionaryParser
>>> parser = WiktionaryParser()
>>> word = parser.fetch('test')
>>> another_word = parser.fetch('test', 'french')
>>> parser.set_default_language('french')

Solution 6 - Api

As mentioned earlier, the problem with this approach is that Wiktionary provides the information about all the words of all the languages. So the approach to check if a page exists using Wikipedia API won't work because there're a lot of pages for non-English words. To overcome this, you need to parse each page to figure out if there's a section describing the English word. Parsing wikitext isn't a trivial task, though in your case it's not that bad. To cover almost all the cases you need to just check if the wikitext contains the English heading. Depending on the programming language you use, you can find some tools to build an AST from wikitext. This will cover most of the cases, but not all of them because Wiktionary includes some common misspellings.

As an alternative, you could try using Lingua Robot or something similar. Lingua Robot parses the Wiktionary content and provides it as a REST API. A non-empty response means that the word exists. Please note that, as opposed to Wiktionary, the API itself doesn't include any misspellings (at least at the moment of writing this answer). Please also note that the Wiktionary contains not only the words, but multi-word expressions.

Solution 7 - Api

You might want to try JWKTL out. I just found out about it ;)

Solution 8 - Api

Solution 9 - Api

Here's a start to parsing etymology and pronunciation data:

function parsePronunciationLine(line) {
  let val
  let type
  line.replace(/\{\{\s*a\s*\|UK\s*\}\}\s*\{\{IPA\|\/?([^\/\|]+)\/?\|lang=en\}\}/, (_, $1) => {
    val = $1
    type = 'uk'
  })
  line.replace(/\{\{\s*a\s*\|US\s*\}\}\s*\{\{IPA\|\/?([^\/\|]+)\/?\|lang=en\}\}/, (_, $1) => {
    val = $1
    type = 'us'
  })
  line.replace(/\{\{enPR|[^\}]+\}\},?\s*\{\{IPA\|\/?([^\/\|]+)\/?\|lang=en}}/, (_, $1) => {
    val = $1
    type = 'us'
  })
  line.replace(/\{\{a|GA\}\},?\s*\{\{IPA\|\/?([^\/\|]+)\/?\|lang=en}}/, (_, $1) => {
    val = $1
    type = 'ga'
  })
  line.replace(/\{\{a|GA\}\},?.+\{\{IPA\|\/?([^\/\|]+)\/?\|lang=en}}/, (_, $1) => {
    val = $1
    type = 'ga'
  })
  // {{a|GA}} {{IPA|/ˈhæpi/|lang=en}}
  // * {{a|RP}} {{IPA|/pliːz/|lang=en}}
  // * {{a|GA}} {{enPR|plēz}}, {{IPA|/pliz/|[pʰliz]|lang=en}}

  if (!val)
    return

  return { val, type }
}

function parseEtymologyPiece(piece) {
  let parts = piece.split('|')
  parts.shift() // The first one is ignored.
  let ls = []
  if (langs[parts[0]]) {
    ls.push(parts.shift())
  }
  if (langs[parts[0]]) {
    ls.push(parts.shift())
  }
  let l = ls.pop()
  let t = parts.shift()
  return [ l, t ]
  // {{inh|en|enm|poisoun}}
  // {{m|enm|poyson}}
  // {{der|en|la|pōtio|pōtio, pōtiōnis|t=drink, a draught, a poisonous draught, a potion}}
  // {{m|la|pōtō|t=I drink}}
  // {{der|en|enm|happy||fortunate, happy}}
  // {{cog|is|heppinn||lucky}}
}

Here is a gist with it more fleshed out.

Attributions

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Content TypeOriginal AuthorOriginal Content on Stackoverflow
QuestionArmentageView Question on Stackoverflow
Solution 1 - ApiMichael MrozekView Answer on Stackoverflow
Solution 2 - ApihippietrailView Answer on Stackoverflow
Solution 3 - ApikybernetikosView Answer on Stackoverflow
Solution 4 - ApibenrothView Answer on Stackoverflow
Solution 5 - ApiosolmazView Answer on Stackoverflow
Solution 6 - ApiRoman KishchenkoView Answer on Stackoverflow
Solution 7 - ApiarekView Answer on Stackoverflow
Solution 8 - Apibuilder-7000View Answer on Stackoverflow
Solution 9 - ApiLanceView Answer on Stackoverflow