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Update multiple-languages.md
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articles/ai-services/language-service/conversational-language-understanding/concepts/multiple-languages.md

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@@ -23,7 +23,7 @@ For example, you can train your project entirely with English utterances and que
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Whenever you identify that a particular language isn't performing as well as other languages, you can add utterances for that language in your project. In the [tag utterances](../how-to/tag-utterances.md) page in Language Studio, you can select the language of the utterance you're adding. When you introduce examples for that language to the model, it's introduced to more of the syntax of that language and learns to predict it better.
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You aren't expected to add the same amount of utterances for every language. You should build most of your project in one language and only add a few utterances in languages you observe aren't performing well. If you create a project that's primarily in English and start testing it in French, German, and Spanish, you might observe that German doesn't perform as well as the other two languages. In that case, consider adding 5% of your original English examples in German, train a new model, and test in German again. You should see better results for German queries. The more utterances you add, the more likely the results are going to get better.
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You aren't expected to add the same number of utterances for every language. You should build most of your project in one language and only add a few utterances in languages that you observe aren't performing well. If you create a project that's primarily in English and start testing it in French, German, and Spanish, you might observe that German doesn't perform as well as the other two languages. In that case, consider adding 5% of your original English examples in German, train a new model, and test in German again. You should see better results for German queries. The more utterances you add, the more likely the results are going to get better.
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When you add data in another language, you shouldn't expect it to negatively affect other languages.
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