Merge pull request #3046 from eric-urban/eur/segmentation-update

remove locales limitation note

Author: prmerger-automator[bot]

articles/ai-services/speech-service/includes/how-to/recognize-speech/cpp.md

@@ -234,5 +234,5 @@ speechConfig->SetProperty(PropertyId::Speech_SegmentationStrategy, "Semantic");
 Some of the limitations of semantic segmentation are as follows:
 - You need the Speech SDK version 1.41 or later to use semantic segmentation.
 - Semantic segmentation is only intended for use in [continuous recognition](#continuous-recognition). This includes scenarios such as dictation and captioning. It shouldn't be used in the single recognition mode or interactive scenarios. 
-- Semantic segmentation isn't available for all languages and locales. Currently, semantic segmentation is only available for English (en) locales such as en-US, en-GB, en-IN, and en-AU.
+- Semantic segmentation isn't available for all languages and locales. 
 - Semantic segmentation doesn't yet support confidence scores and NBest lists. As such, we don't recommend semantic segmentation if you're using confidence scores or NBest lists.

articles/ai-services/speech-service/includes/how-to/recognize-speech/csharp.md

@@ -348,5 +348,5 @@ speechConfig.SetProperty(PropertyId.Speech_SegmentationStrategy, "Semantic");
 Some of the limitations of semantic segmentation are as follows:
 - You need the Speech SDK version 1.41 or later to use semantic segmentation.
 - Semantic segmentation is only intended for use in [continuous recognition](#use-continuous-recognition). This includes scenarios such as dictation and captioning. It shouldn't be used in the single recognition mode or interactive scenarios. 
-- Semantic segmentation isn't available for all languages and locales. Currently, semantic segmentation is only available for English (en) locales such as en-US, en-GB, en-IN, and en-AU.
+- Semantic segmentation isn't available for all languages and locales. 
 - Semantic segmentation doesn't yet support confidence scores and NBest lists. As such, we don't recommend semantic segmentation if you're using confidence scores or NBest lists.

articles/ai-services/speech-service/includes/how-to/recognize-speech/java.md

@@ -251,5 +251,5 @@ speechConfig.SetProperty(PropertyId.Speech_SegmentationStrategy, "Semantic");
 Some of the limitations of semantic segmentation are as follows:
 - You need the Speech SDK version 1.41 or later to use semantic segmentation.
 - Semantic segmentation is only intended for use in [continuous recognition](#use-continuous-recognition). This includes scenarios such as dictation and captioning. It shouldn't be used in the single recognition mode or interactive scenarios. 
-- Semantic segmentation isn't available for all languages and locales. Currently, semantic segmentation is only available for English (en) locales such as en-US, en-GB, en-IN, and en-AU.
+- Semantic segmentation isn't available for all languages and locales. 
 - Semantic segmentation doesn't yet support confidence scores and NBest lists. As such, we don't recommend semantic segmentation if you're using confidence scores or NBest lists.

articles/ai-services/speech-service/includes/how-to/recognize-speech/python.md

@@ -199,5 +199,5 @@ speech_config.set_property(speechsdk.PropertyId.Speech_SegmentationStrategy, "Se
 Some of the limitations of semantic segmentation are as follows:
 - You need the Speech SDK version 1.41 or later to use semantic segmentation.
 - Semantic segmentation is only intended for use in [continuous recognition](#use-continuous-recognition). This includes scenarios such as dictation and captioning. It shouldn't be used in the single recognition mode or interactive scenarios. 
-- Semantic segmentation isn't available for all languages and locales. Currently, semantic segmentation is only available for English (en) locales such as en-US, en-GB, en-IN, and en-AU.
+- Semantic segmentation isn't available for all languages and locales. 
 - Semantic segmentation doesn't yet support confidence scores and NBest lists. As such, we don't recommend semantic segmentation if you're using confidence scores or NBest lists.