如何在Python的Watson Language Translator中使用多个语料库文件作为并行语料库

from ibm_watson import LanguageTranslatorV3
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator

authenticator = IAMAuthenticator('API_KEY')
language_translator = LanguageTranslatorV3(
    version='2018-05-01',
    authenticator=authenticator
)

language_translator.set_service_url('SERVICE_URL')

text_to_translate = '要翻译的文本'
source_language = '源语言代码'

parallel_corpus_files = ['file1.txt', 'file2.txt', 'file3.txt']

for file in parallel_corpus_files:
    with open(file, 'rb') as parallel_corpus:
        language_translator.create_parallel_corpus(
            base_model_id='源语言代码-目标语言代码',
            name='并行语料库名称',
            parallel_corpus=parallel_corpus
        )

translation = language_translator.translate(
    text=text_to_translate,
    model_id='源语言代码-目标语言代码'
).get_result()

translated_text = translation['translations'][0]['translation']