Merge pull request #95694 from zhiliangxu/patch-5

Fix a typo: you an -> you can

Author: Jak-MS

articles/search/index-similarity-and-scoring.md

@@ -46,7 +46,7 @@ Both BM25 and Classic are TF-IDF-like retrieval functions that use the term freq
 BM25 offers advanced customization options, such as allowing the user to decide how the relevance score scales with the term frequency of matched terms. For more information, see [Configure the scoring  algorithm](index-ranking-similarity.md).
 
 > [!NOTE]
-> If you're using a search service that was created before July 2020, the scoring algorithm is most likely the previous default, `ClassicSimilarity`, which you an upgrade on a per-index basis. See [Enable BM25 scoring on older services](index-ranking-similarity.md#enable-bm25-scoring-on-older-services) for details.
+> If you're using a search service that was created before July 2020, the scoring algorithm is most likely the previous default, `ClassicSimilarity`, which you can upgrade on a per-index basis. See [Enable BM25 scoring on older services](index-ranking-similarity.md#enable-bm25-scoring-on-older-services) for details.
 
 The following video segment fast-forwards to an explanation of the generally available ranking algorithms used in Azure Cognitive Search. You can watch the full video for more background.
 
@@ -127,4 +127,4 @@ You can consume these data points in [custom scoring solutions](https://github.c
 + [Scoring Profiles](index-add-scoring-profiles.md)
 + [REST API Reference](/rest/api/searchservice/)
 + [Search Documents API](/rest/api/searchservice/search-documents)
-+ [Azure Cognitive Search .NET SDK](/dotnet/api/overview/azure/search)
++ [Azure Cognitive Search .NET SDK](/dotnet/api/overview/azure/search)