Google Translate API - 检测语言 + 翻译文档（xlsx、csv）

Question

我正在尝试使用 Google Cloud Translation API 翻译包含多种语言文本的 excel（或 csv）文档，而我的目标语言是英语。

我想使用“批量翻译文本（仅限高级版）”代码示例（此处链接：https://cloud.google.com/translate/docs/samples/translate-v3-batch-translate-text）但代码示例中有一行定义源语言，因此只能有一种源语言.

但我需要先检测文档中的语言，然后将文本翻译成英文。有用于检测文本“检测语言（高级）”（链接：https://cloud.google.com/translate/docs/advanced/detecting-language-v3）的简单字符串中的语言的代码示例，但我需要将第一个翻译文档的代码示例（但只定义了一种源语言）与检测语言而不是定义一种源语言的能力。

资源中有这种类型的代码示例吗？怎么解决？

这里是有问题的示例代码：

from google.cloud import translate


def batch_translate_text(
    input_uri="gs://YOUR_BUCKET_ID/path/to/your/file.txt",
    output_uri="gs://YOUR_BUCKET_ID/path/to/save/results/",
    project_id="YOUR_PROJECT_ID",
    timeout=180,
):
    """Translates a batch of texts on GCS and stores the result in a GCS location."""

    client = translate.TranslationServiceClient()

    location = "us-central1"
    # Supported file types: https://cloud.google.com/translate/docs/supported-formats
    gcs_source = {"input_uri": input_uri}

    input_configs_element = {
        "gcs_source": gcs_source,
        "mime_type": "text/plain",  # Can be "text/plain" or "text/html".
    }
    gcs_destination = {"output_uri_prefix": output_uri}
    output_config = {"gcs_destination": gcs_destination}
    parent = f"projects/{project_id}/locations/{location}"

    # Supported language codes: https://cloud.google.com/translate/docs/language
    operation = client.batch_translate_text(
        request={
            "parent": parent,
            "source_language_code": "en",
            "target_language_codes": ["ja"],  # Up to 10 language codes here.
            "input_configs": [input_configs_element],
            "output_config": output_config,
        }
    )

    print("Waiting for operation to complete...")
    response = operation.result(timeout)

    print("Total Characters: {}".format(response.total_characters))
    print("Translated Characters: {}".format(response.translated_characters))

Answer 1

不幸的是，无法使用batchTranslateText 将值数组传递给字段source_language_code。我可以建议每个文件执行detectLanguage 和translateText。

以下代码的作用是：

1. 它提取要翻译的内容。出于测试目的，使用的 csv 文件只有 1 列，sample1.csv 的内容位于 tl（他加禄语）中，而 sample2.csv 位于 es（西班牙语）中。
2. 将提取的内容传递给detect_language()以获取检测到的语言代码。
3. 将所有必需的参数传递给translate_text()进行翻译

注意：下面的代码仅使用一列的 csv 文件进行测试。编辑main() 处的代码以在您要提取数据的列上进行模式化。

from google.cloud import translate
import csv


def listToString(s):
    """ Transform list to string"""
    str1 = " "
    return (str1.join(s))

def detect_language(project_id,content):
    """Detecting the language of a text string."""

    client = translate.TranslationServiceClient()
    location = "global"
    parent = f"projects/{project_id}/locations/{location}"

    response = client.detect_language(
        content=content,
        parent=parent,
        mime_type="text/plain",  # mime types: text/plain, text/html
    )

    for language in response.languages:
        return language.language_code


def translate_text(text, project_id,source_lang):
    """Translating Text."""

    client = translate.TranslationServiceClient()
    location = "global"
    parent = f"projects/{project_id}/locations/{location}"

    # Detail on supported types can be found here:
    # https://cloud.google.com/translate/docs/supported-formats
    response = client.translate_text(
        request={
            "parent": parent,
            "contents": [text],
            "mime_type": "text/plain",  # mime types: text/plain, text/html
            "source_language_code": source_lang,
            "target_language_code": "en-US",
        }
    )

    # Display the translation for each input text provided
    for translation in response.translations:
        print("Translated text: {}".format(translation.translated_text))
        
def main():

    project_id="your-project-id"
    csv_files = ["sample1.csv","sample2.csv"]
    # Perform your content extraction here if you have a different file format #
    for csv_file in csv_files:
        csv_file = open(csv_file)
        read_csv = csv.reader(csv_file)
        content_csv = []

        for row in read_csv:
            content_csv.extend(row)
        content = listToString(content_csv) # convert list to string
        detect = detect_language(project_id=project_id,content=content)
        translate_text(text=content,project_id=project_id,source_lang=detect)

if __name__ == "__main__":
    main()

---

sample1.csv：

kamusta
ayos

sample2.csv：

cómo estás
okey

使用上面的代码输出：

Translated text: how are you okay
Translated text: how are you ok