#?import?os
#?os.environ[“CUDA_DEVICE_ORDER“]?=?“PCI_BUS_ID“
#?os.environ[“CUDA_VISIBLE_DEVICES“]?=?““
from?keras.models?import?model_from_json
from?keras?import?backend?as?K
from?DataProcessing.embedding?import?Data
import?numpy?as?np
import?json
import?os

transpose_matrix?=?{‘be‘:?0.5
????????????????????‘bm‘:?0.5
????????????????????‘eb‘:?0.5
????????????????????‘es‘:?0.5
????????????????????‘me‘:?0.5
????????????????????‘mm‘:?0.5
????????????????????‘sb‘:?0.5
????????????????????‘ss‘:?0.3}

zy?=?{i:?np.log（transpose_matrix[i]）?for?i?in?transpose_matrix.keys（）}


def?viterbi（nodes）:
????path?=?{‘b‘:?nodes[0][‘b‘]?‘s‘:?nodes[0][‘s‘]}
????for?layer_num?in?range（1?len（nodes））:
????????old_path?=?path.copy（）
????????path?=?{}
????????for?new_tag?in?nodes[layer_num].keys（）:
????????????tmp?=?{}
????????????if?layer_num?==?len（nodes）?-?1:
????????????????if?new_tag?in?[“m“?“b“]:
????????????????????continue
????????????for?old_path_tag?in?old_path.keys（）:
????????????????if?old_path_tag[-1]+new_tag?in?transpose_matrix.keys（）:
????????????????????tmp[old_path_tag+new_tag]?=?old_path[old_path_tag]?+?nodes[layer_num][new_tag]?+?transpose_matrix[old_path_tag[-1]+new_tag]
????????????k?=?np.argmax（list（tmp.values（）））
????????????path[list（tmp.keys（））[k]]?=?list（tmp.values（））[k]
????????#?print（path）
????return?list（path.keys（））[np.argmax（list（path.values（）））]

def?cut（asentence?tagstr）:
????result?=?‘‘
????for?（character?tag）?in?zip（asentence?tagstr）:
????????result?+=?character
????????if?str（tag）?in?[‘s‘?‘e‘]:
????????????result?+=?‘?‘
????return?result


if?__name__?==?‘__main__‘:
????filedir?=?“D:\\codes\\python\\keras_splitwords\\datas“
????model_name?=?“model.json“
????weights_name?=?“model_weights.h5“
????test_sentence?=?““

????data?=?Data（filedir）
????charsets?=?data.load_charsets_from_file（“charsets.pkl“）
????model?=?model_from_json（json.load（open（os.path.join（filedir?model_name）?“r“）））
????model.load_weights（os.path.join（filedir?weights_name））

????sentence_embeddings?all_sentences?sentence_len?=?data.get_sent_embeddings（charsets?test_sentence）
????#?print（“sentence?len:“?sentence_len）
????result?=?model.predict（sentence_embeddings?verbose=False）

????print（test_sentence）
????for?（aresult?asentence?length）?in?zip（result?all_sentences?sentence_len）:
????????aresult?=?aresult[:length]
????????one_sentence_nodes?=?[{k:?v?for?（k?v）?in?zip（[‘s‘?‘b‘?‘m‘?‘e‘]?np.log（i[:4]））}?for?i?in?aresult]
????????print（cut（asentence?viterbi（one_sentence_nodes）））

????K.clear_session（）

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2018-05-16?04:53??Chinese-Word-Split-master\
?????文件??????????12??2018-05-16?04:53??Chinese-Word-Split-master\.gitignore
?????目錄???????????0??2018-05-16?04:53??Chinese-Word-Split-master\DataProcessing\
?????文件???????????0??2018-05-16?04:53??Chinese-Word-Split-master\DataProcessing\__init__.py
?????文件????????3143??2018-05-16?04:53??Chinese-Word-Split-master\DataProcessing\embedding.py
?????目錄???????????0??2018-05-16?04:53??Chinese-Word-Split-master\datas\
?????文件??????531361??2018-05-16?04:53??Chinese-Word-Split-master\datas\charsets.pkl
?????文件????????2880??2018-05-16?04:53??Chinese-Word-Split-master\datas\model.json
?????文件????????2879??2018-05-16?04:53??Chinese-Word-Split-master\datas\model_usebias.json
?????文件?????3061352??2018-05-16?04:53??Chinese-Word-Split-master\datas\model_weights.h5
?????文件?????3061352??2018-05-16?04:53??Chinese-Word-Split-master\datas\model_weights_usebias.h5
?????文件????24389693??2018-05-16?04:53??Chinese-Word-Split-master\datas\msr_train.txt
?????文件????????2546??2018-05-16?04:53??Chinese-Word-Split-master\gen.py
?????文件????????1391??2018-05-16?04:53??Chinese-Word-Split-master\train.py