public static ReturnModel Handle(string text, MSCGJson son)
{
string[][] sentences = son.result;
string[] originalSentences = text.Split(' ');
int originIndex = 0;
int wordIndex = 0;
Word[][] postags = new Word[sentences.Length][];
List <Word> list;
for (int i = 0; i < sentences.Length; ++i)
{
list = new List <Word>();
foreach (string j in sentences[i])
{
if (!isMSCGSymbol(j))
{
list.Add(new Word(originalSentences[originIndex], POSType(j), syllableIndices(originalSentences[originIndex]), Syllable.Syllabify(originalSentences[originIndex++]), wordIndex++));
}
}
postags[i] = list.ToArray();
}
return(new ReturnModel(postags, GenerateHTML(postags, true)));
}
public static async Task <ReturnModel> MSCSSuggestions(string text)
{
var client = new HttpClient();
// Request headers
client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", Credentials.SubscriptionKey);
var uri = "https://westus.api.cognitive.microsoft.com/linguistics/v1.0/analyze";
// Request body
string analyzeText = text;
byte[] byteData = Encoding.UTF8.GetBytes(JsonConvert.SerializeObject(MSCG.GenerateRequest(analyzeText))); // "{ \"language\" : \"en\", \"analyzerIds\" : [\"4fa79af1-f22c-408d-98bb-b7d7aeef7f04\"], \"text\" : \"" + analyzeText + "\"}");
using (var content = new ByteArrayContent(byteData))
{
content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
var response = await client.PostAsync(uri, content);
var contents = await response.Content.ReadAsStringAsync();
MSCGJson[] son = JsonConvert.DeserializeObject <MSCGJson[]>(contents);
MSCGJson daughter = son[0];
return(Handle(text, daughter));
}
}
