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Abnormal strings in translation results: ãã£ã£ãç§ã¡ã¡åã #95
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Hi, could you please share the code you are running to get this result, and copy paste the input text instead of posting it as a screenshot? (So I can reproduce the text) |
Hi, @JanEbbing func DeepLTranslate(srcLang, targetLang, text string) (string, error) {
authKey := ""
urlValues := url.Values{}
urlValues.Add("auth_key", authKey)
urlValues.Add("target_lang", targetLang)
urlValues.Add("text", text)
if len(srcLang) > 0 {
urlValues.Add("source_lang", srcLang)
}
resp, err := ctxhttp.PostForm(context.Background(), &http.Client{}, "https://api.deepl.com/v2/translate", urlValues)
if err != nil {
return "", err
}
defer func(Body io.ReadCloser) {
err := Body.Close()
if err != nil {
fmt.Printf("DeepL translate error: %+v\n", err)
}
}(resp.Body)
if resp.StatusCode != http.StatusOK {
return "", err
}
body, err := ioutil.ReadAll(resp.Body)
if err != nil {
return "", err
}
result := map[string][]map[string]string{}
err = jsoniter.Unmarshal(body, &result)
if err != nil {
return "", err
}
return result["translations"][0]["text"], err
} original text: These texts are presented by OCR and may be different from the real thing。 I wonder if it's caused by illegal strings in the content, such as "?" inside the image. |
The Golang project is deployed on top of a linux machine located in Hong Kong's server room. The original text is uploaded by the client as a speech stream, and the text is generated by our speech recognition service, and then the DeepL translation interface is called via http, and the translation result is passed back to the chrome client via websocket. The above phenomenon is not a frequent occurrence, about two times in six months. @JanEbbing |
Yes but how/where is the text rendered? As I've shown, the API returns the characters well-formated in UTF-8. If you get artifacts like the ones in the screenshot, it is most likely an encoding issue somewhere in this pipeline. |
Yellow text is the result of a translation error, white text is the original text
The API used is:https://api.deepl.com/v2/translate
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