PyThaiNLP For spaCy
Project description
spaCy-PyThaiNLP
PyThaiNLP For spaCy
Work in processing...
Install
pip install spacy-pythainlp
How to use
Example
import spacy
from spacy_pythainlp.core import *
nlp = spacy.blank("th")
# Segment the Doc into sentences
nlp.add_pipe(
"pythainlp",
)
data=nlp("ผมเป็นคนไทย แต่มะลิอยากไปโรงเรียนส่วนผมจะไปไหน ผมอยากไปเที่ยว")
print(list(list(data.sents)))
# output: [ผมเป็นคนไทย แต่มะลิอยากไปโรงเรียนส่วนผมจะไปไหน , ผมอยากไปเที่ยว]
You can config the setting in the nlp.add_pipe.
nlp.add_pipe(
"pythainlp",
config={
"pos_engine": "perceptron",
"pos": True,
"pos_corpus": "orchid_ud",
"sent_engine": "crfcut",
"sent": True,
"ner_engine": "thainer",
"ner": True,
"tokenize_engine": "newmm",
"tokenize": False,
}
)
- tokenize: Bool (True or False) to change the word tokenize. (the default spaCy is newmm of PyThaiNLP)
- tokenize_engine: The tokenize engine. You can read more: Options for engine
- sent: Bool (True or False) to turn on the sentence tokenizer.
- sent_engine: The sentence tokenizer engine. You can read more: Options for engine
- pos: Bool (True or False) to turn on the part-of-speech.
- pos_engine: The part-of-speech engine. You can read more: Options for engine
- ner: Bool (True or False) to turn on the NER.
- ner_engine: The NER engine. You can read more: Options for engine
License
Copyright 2016-2023 PyThaiNLP Project
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
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