public static NGram Create(IEnumerable <Entity> dataItems)
{
NGram ngram = new NGram();
ngram.CreateNGrams(dataItems);
return(ngram);
}
public static Database Create()
{
Database database = new Database();
database.Load();
database.ngram = NGram.Create(database.entities);
return(database);
}
public static Candidate Create(List <string> list, string input)
{
Candidate candidate = new Candidate();
candidate.items = (from s in list
let ld = LevenshteinDistance.Compute(input, s)
let unigram = NGram.CompareUnigram(input, s)
let bigram = NGram.CompareBigram(input, s)
let ngram = NGram.Compare(input.Length, input, s)
orderby bigram descending
orderby ld ascending
select new DataItem(ld, unigram, bigram, ngram, s)).Take(100);
return(candidate);
}
/// <summary>
/// もしかして…
/// </summary>
/// <param name="s"></param>
/// <param name="source"></param>
/// <returns></returns>
public static string GetPossibility(string s, IEnumerable <string> source)
{
if (s == null)
{
throw new ArgumentNullException("s");
}
if (source == null)
{
throw new ArgumentNullException("source");
}
List <string> possibilityList = new List <string>();
int mincost = int.MaxValue;
string moshikashite = null;
foreach (string t in source)
{
int cost = LevenshteinDistance.Compute(s, t);
if (cost == 0)
{
return(t);
}
if (cost <= mincost)
{
mincost = cost;
possibilityList.Add(t);
}
}
decimal k = -1m;
foreach (string t in possibilityList)
{
decimal result = NGram.CompareBigram(s, t);
if (k == -1m || result > k)
{
k = result;
moshikashite = t;
}
}
return(moshikashite);
}
