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面向电力领域的中文分词工具

Project description

电力领域中文分词模型

ecws 是面向电力领域的基础中文分词模型组件,目标是打造电力领域的自然语言处理基础能力

安装指南

ecws 依赖以下包:

  • torch==1.5.1
  • allennlp==1.0.0

版本号

R3.0.5

模型命名

NLP-ECWS-R3.0.5

安装

  • 第一步,安装 ecws

使用 pip 安装

pip install ecws

或从源代码安装

git clone https://github.com/rises-tech/ecws.git
cd NLP-ECWS
pip install -e .
  • 下载ecws.model文件
Model Name Download Link
ecws.v3.model BaiduPan 提取码:ecws
  • python引用方式:
from ecws.segment import Segmenter

model_path = 'ecws.model'

predict = Segmenter(model_path)

d = predict.seg(sent)
  • 接口demo界面
http://120.27.25.150:8082/
  • web api 调用方式
def webservice_ecws(sentence):
  data = {'sent': sentence}
  url = 'http://120.27.25.150:8082/predict'
  r = requests.post(url, json=data)
  data = json.loads(r.text)
  seg = data['spans']
  return seg

其中返回的结果是一个字典,字段'sent'中包含分词结果。

  • 电力自然语言处理演示平台

http://demo.rises.tech

开发者

@ 张强<<alxor@live.cn>> @ 宋博川<<abc_hhhh@163.com>>

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