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Esperanto is only partially translated. Please help us improve this site by translating its interface.

Total number of language pairs: 536Total number of translations (in millions): 15.3

Improved: English<>Portuguese, French<>Portuguese

There are several ways to use this dictionary. The most common way is by word input (you must know which language the word is in) but you can also use your browser's search box and bookmarklets (or favelets).

Look at the complete list of languages: Available language pairs

There are two Japanese-English (and Japanese-French) dictionaries and one contains Kanji and Kana (Kana in English and French pair due to improved searching). For the same reason the Chinese dictionary contains traditional and simplified Chinese terms on one side and Pinyin and English terms on the other.

Perhaps the best way to enable dictionary search is through integration into the search field of your browser. To add EUdict alongside Google, Yahoo!, Amazon and other search engines in Mozilla Firefox or Internet Explorer, simply click on link after the title Browser integration, select appropriate language pair and confirm your decision. And you're ready to go; select EUdict from the drop-down list in search field (Firefox) or address bar (IE), input a word and press Enter. In Chrome, first click on a language pair and change the search keyword in the field 'Keyword' to a keyword (eg: 'eudict'). Afterwards, you simply type the chosen keyword in the address bar to start the search in the chosen dictionary.

There is a way to enable word translation from any page: Bookmarklets. A bookmarklet is a small JavaScript code stored as a bookmark in your browser.

If you want to type a character which isn't on your keyboard, simply pick it from a list of special characters. If you are unable to add a bookmarklet in Mozilla Firefox according to the instructions above, there is another way; right click on a link and select Bookmark this link… Now you can drag this link from Bookmarks to the Bookmarks Toolbar.

Instead of clicking the Search button, just press Enter. Although EUdict can't translate complete sentences, it can translate several words at once if you separate them with spaces or commas. Sometimes you can find translation results directly from Google by typing: eudict word. If you are searching for a word in Japanese (Kanji) dictionary and not receiving any results, try without Kana (term in brackets). If you are searching for a word in the Chinese dictionary and not receiving any results, try without Pinyin (term in brackets). Disable spellchecking in Firefox by going to Tools → Options → Advanced → Check my spelling as I type. Why not add a EUdict search form to your web site? Form


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Address: St John of God Medical Clinic, Suite 10/100 Murdoch Dr, Murdoch WA 6150, Australia


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The School Personnel Number (SPN) is a unique number/letter combination that is assigned to all educators in Indiana. It is eight digits. Most educators will not need to know their SPN number. It is assigned once they are invited to I-LEAD and complete a Consent Form.


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If you cannot open your DVG file correctly, try to right-click or long-press the file. Then click "Open with" and choose an application. You can also display a DVG file directly in the browser: Just drag the file onto this browser window and drop it.


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Team members and their dependents are provided additional insurance protection of INR 2 lakhs, with options to top up further up to INR 8 lakhs.


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# converts the input array of strings into an array of n-grams
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df = spark.createDataFrame([Row(inputTokens=[
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  "a", "b", "c", "d", "e"])])
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ngram = NGram(n=2, inputCol="inputTokens", outputCol="nGrams")
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ngram.transform(df).head()
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# Row(inputTokens=[u'a', u'b', u'c', u'd', u'e'], nGrams=[u'ab', u'b c', u'c d', u'd e'])
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# Change n-gram Length
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ngram.setParams(n=4).transform(df).head()
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# Row(inputTokens=[u'a', u'b', u'c', u'd', u'd', u'e'], nGrams=[u'a b c d', u'b c d e'])
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# Temporarily modify output column.
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ngram.transform(df, {ngram.outputCol: "output"}).head()
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# Row(inputTokens=[u'a', u'b', u'c', u'd', u'e'], output=[u'a b c d', u'b c d e'])
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ngram.transform(df).head()
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# Row(inputTokens=[u'a', u'b', u'c', u'd', u'e'], nGrams=[u'a b c d', u'b c d e'])
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# Must use keyword arguments to specify params.
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ngram.setParams("text")
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# Traceback (most recent call last):
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#   ...
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# TypeError: Method setParams forces keyword arguments.
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ngramPath = temp_path + "/ngram"
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ngram.save(ngramPath)
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loadedNGram = NGram.load(ngramPath)
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loadedNGram.getN() == ngram.getN()
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# True

Answer is posted for the following question.

How to converts the input array of strings into an array of n-grams (Python Programing Language)


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