//Load a frequency dictionary or create a frequency dictionary from a text corpus
public static void Main(string[] args)
{
//set global parameters
SymSpellCompound.enableCompoundCheck = true;
SymSpellCompound.verbose = 0;
SymSpellCompound.editDistanceMax = 2;
Console.Write("Creating dictionary ...");//neuneu
Stopwatch stopWatch = new Stopwatch();
stopWatch.Start();
//Load a frequency dictionary
//wordfrequency_en.txt ensures high correction quality by combining two data sources:
//Google Books Ngram data provides representative word frequencies (but contains many entries with spelling errors)
//SCOWL — Spell Checker Oriented Word Lists which ensures genuine English vocabulary (but contained no word frequencies)
//string path = "../../wordfrequency_en.txt"; //path when using SymSpellCompound nuget package (wordfrequency_en.txt is included in nuget package)
string path = "../../../SymSpellCompound/wordfrequency_en.txt"; //path when using SymSpellCompound.cs
if (!SymSpellCompound.LoadDictionary(path, "", 0, 1))
{
Console.Error.WriteLine("File not found: " + Path.GetFullPath(path));
}
//Alternatively Create the dictionary from a text corpus (e.g. http://norvig.com/big.txt )
//Make sure the corpus does not contain spelling errors, invalid terms and the word frequency is representative to increase the precision of the spelling correction.
//The dictionary may contain vocabulary from different languages.
//If you use mixed vocabulary use the language parameter in Correct() and CreateDictionary() accordingly.
//You may use SymSpellCompound.CreateDictionaryEntry() to update a (self learning) dictionary incrementally
//To extend spelling correction beyond single words to phrases (e.g. correcting "unitedkingom" to "united kingdom") simply add those phrases with CreateDictionaryEntry().
//string path = "big.txt"
//if (!SymSpellCompound.CreateDictionary(path,"")) Console.Error.WriteLine("File not found: " + Path.GetFullPath(path));
Console.WriteLine("\rDictionary: " + SymSpellCompound.wordlist.Count.ToString("N0") + " words, " + SymSpellCompound.dictionary.Count.ToString("N0") + " entries, edit distance=" + SymSpellCompound.editDistanceMax.ToString() + " in " + stopWatch.ElapsedMilliseconds.ToString() + "ms " /*+ (Process.GetCurrentProcess().PrivateMemorySize64/1000000).ToString("N0")+ " MB"*/);//neuneu
string input;
while (!string.IsNullOrEmpty(input = (Console.ReadLine() ?? "").Trim()))
{
Correct(input, "");
}
}
private static void Correct(string input, string language)
{
List <SymSpellCompound.suggestItem> suggestions = null;
//check if input term or similar terms within edit-distance are in dictionary, return results sorted by ascending edit distance, then by descending word frequency
if (SymSpellCompound.enableCompoundCheck)
{
suggestions = SymSpellCompound.LookupCompound(input, language, SymSpellCompound.editDistanceMax);
}
else
{
suggestions = SymSpellCompound.Lookup(input, language, SymSpellCompound.editDistanceMax);
}
//display term and frequency
foreach (var suggestion in suggestions)
{
Console.WriteLine(suggestion.term + " " + suggestion.distance.ToString() + " " + suggestion.count.ToString("N0"));
}
if (SymSpellCompound.verbose != 0)
{
Console.WriteLine(suggestions.Count.ToString() + " suggestions");
}
}
