spell-checking

I've followed the solr wiki article for suggester almost to the T here: http://wiki.apache.org/solr/Suggester . I have the following xml in my solrconfig.xml: <searchComponent class="solr.SpellCheckComponent" name="suggest"> <lst name="spellchecker"> <str name="name">suggest</str> <str name="classname">org.apache.solr.spelling.suggest.Suggester</str> <str name="lookupImpl">org.apache.solr.spelling.suggest.tst.TSTLookup</str> <str name="field">description</str> <float name="threshold">0.05</float> <str name="buildOnCommit">true</str> </lst> </searchComponent> <requestHandler class="org.apache

I'm looking for a an easy way to check whether a certain string is a correctly-spelled English word. For example, 'looked' would return True while 'hurrr' would return False. I don't need spelling suggestions or any spelling-correcting features. Just a simple function that takes a string and returns a boolean value. user225312 Two possible ways of doing it: Have your own file which has all the valid words. Load the file into a set and compare each word to see whether it exists in it (word in set) (The better way) Use PyEnchant , a spell checking library for Python PyEnchant is not actively

What's the best spell checking library for C# / .net? (This will be web-based, so the built in spell check for WPF won't work.) I've made a .NET version (wrapper) of the Open Office / Google Chrome ... spell checker Hunspell. It is called NHunspell and can be used with C#/ VB / .... The Open Office hyphenator "Hyphen" is also included. All Open Office dictionaries work. It is free (open source LGPL / MPL licensed). I have used Aspell.net before with some success. I have used NetSpell in the past with success. http://sourceforge.net/projects/netspell/ There is a aspell .net wrapper. http:/

IntelliJ spellchecker comes with only English and Arabic bundled (strange, I think it made in east Europe, they didn't even bundle their language?). My customer is German so all my code is mixed English (code)/German (interface) and I can't find a German dictionary for IntelliJ. UPDATE : Current IDEA versions load dictionaries in UTF-8, you don't need to convert them to the platform encoding, ignore the iconv step below. The dictionary can be produced using aspell for Unix/Mac OS X or under Cygwin. You need to have aspell and appropriate dictionary installed. Here is the example for Russian

I am making a C# Windows Form Application in Visual Studio 2012. I want add a textbox with spell checking capabilities. Could you please explain me the process for it ? If you are using .net4 you can add the References System.Xaml and WindowsFormsIntegration to your Winforms project. This allows you to find the ElementHost in you Toolbox. By using the ElementHost you can use WPF objects in your Winfroms project. System.Windows.Forms.Integration.ElementHost elementHost1 = new System.Windows.Forms.Integration.ElementHost(); System.Windows.Controls.TextBox textBox = new System.Windows.Controls

I'm creating a browser based QC/data entry app that will let people edit OCRed files, which naturally have tons of errors. Chunks of data are put in textareas so they can be checked, but the red underlines only appear when the user manually puts the cursor in a misspelled word. Is there a way to force WebKit to add the little red spell check underlines to textareas? Essentially you need to use the selection api to move the insertion point over each word to get Safari to highlight it. Here's an example to scan over the first thousand words... textarea = document.getElementById("mytextarea");

I'm fairly new with Python and NLTK. I am busy with an application that can perform spell checks(replaces the incorrectly spelled word with the correctly spelled word), Im currently using the Enchant Library on Python-2.7, PyEnchant and the NLTK library. The code below is the class that handles the correction/replacement. from nltk.metrics import edit_distance class SpellingReplacer(object): def __init__(self, dict_name = 'en_GB', max_dist = 2): self.spell_dict = enchant.Dict(dict_name) self.max_dist = 2 def replace(self, word): if self.spell_dict.check(word): return word suggestions = self