BotSharp/BotSharp.NLP/Models/CRFLite/CRFDecoder.cs

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/*
* BotSharp.NLP Library
* Copyright (C) 2018 Haiping Chen
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
using BotSharp.Models.CRFLite.Decoder;
using System;
using System.Collections.Generic;
using System.IO;
using System.Text;
namespace BotSharp.Models.CRFLite
{
public class CRFDecoder
{
ModelReader _modelReader;
/// <summary>
/// Load encoded model from file
/// </summary>
/// <param name="modelFilename">
/// The model path.
/// </param>
/// <returns></returns>
public void LoadModel(string modelFilename)
{
_modelReader = new ModelReader(modelFilename);
_modelReader.LoadModel();
}
/// <summary>
/// Loads an encoded model using the specified delegate.
/// Using this overload you can read the model e.g.
/// from network, zipped archives or other locations, as you wish.
/// </summary>
/// <param name="modelLoader">
/// Allows reading the model from arbitrary formats and sources.
/// </param>
/// <param name="modelFilename">
/// The model file name, as used by the given <paramref name="modelLoader"/>
/// for file resolution.
/// </param>
/// <returns></returns>
public void LoadModel(Func<string, Stream> modelLoader, string modelFilename)
{
this._modelReader = new ModelReader(modelLoader, modelFilename);
_modelReader.LoadModel();
}
public SegDecoderTagger CreateTagger(int nbest, int this_crf_max_word_num = BaseUtils.DEFAULT_CRF_MAX_WORD_NUM)
{
if (_modelReader == null)
{
return null;
}
var tagger = new SegDecoderTagger(nbest, this_crf_max_word_num);
tagger.init_by_model(_modelReader);
return tagger;
}
//Segment given text
public int Segment(crf_seg_out[] pout, //segment result
SegDecoderTagger tagger, //Tagger per thread
List<List<string>> inbuf //feature set for segment
)
{
var ret = 0;
if (inbuf.Count == 0)
{
//Empty input string
return BaseUtils.RETURN_SUCCESS;
}
ret = tagger.reset();
if (ret < 0)
{
return ret;
}
ret = tagger.add(inbuf);
if (ret < 0)
{
return ret;
}
//parse
ret = tagger.parse();
if (ret < 0)
{
return ret;
}
//wrap result
ret = tagger.output(pout);
if (ret < 0)
{
return ret;
}
return BaseUtils.RETURN_SUCCESS;
}
//Segment given text
public int Segment(CRFTermOut[] pout, //segment result
DecoderTagger tagger, //Tagger per thread
List<List<string>> inbuf //feature set for segment
)
{
var ret = 0;
if (inbuf.Count == 0)
{
//Empty input string
return BaseUtils.RETURN_SUCCESS;
}
ret = tagger.reset();
if (ret < 0)
{
return ret;
}
ret = tagger.add(inbuf);
if (ret < 0)
{
return ret;
}
//parse
ret = tagger.parse();
if (ret < 0)
{
return ret;
}
//wrap result
ret = tagger.output(pout);
if (ret < 0)
{
return ret;
}
return BaseUtils.RETURN_SUCCESS;
}
}
}