Fixes that I mistakenly took out

src/Serval.Client/Client.g.cs

@@ -1365,7 +1365,7 @@ public partial interface ITranslationEnginesClient
         /// <br/>### smt-transfer
         /// <br/>The Statistical Machine Translation Transfer Learning engine is primarily used for translation suggestions. Typical endpoints: translate, get-word-graph, train-segment
         /// <br/>### nmt
-        /// <br/>The Neural Machine Translation engine is primarily used for pretranslations.  It is fine-tuned from Meta's NLLB-200. Valid IETF language tags provided to Serval will be converted to [NLLB-200 codes](https://github.com/facebookresearch/flores/tree/main/flores200#languages-in-flores-200).  See more about language tag resolution [here](https://github.com/sillsdev/serval/wiki/Language-Tag-Resolution-for-NLLB%E2%80%90200).
+        /// <br/>The Neural Machine Translation engine is primarily used for pretranslations.  It is fine-tuned from Meta's NLLB-200. Valid IETF language tags provided to Serval will be converted to [NLLB-200 codes](https://github.com/facebookresearch/flores/tree/main/flores200#languages-in-flores-200).  See more about language tag resolution [here](https://github.com/sillsdev/serval/wiki/FLORES%E2%80%90200-Language-Code-Resolution-for-NMT-Engine).
         /// <br/>            
         /// <br/>If you use a language among NLLB's supported languages, Serval will utilize everything the NLLB-200 model already knows about that language when translating. If the language you are working with is not among NLLB's supported languages, the language code will have no effect.
         /// <br/>            
@@ -1773,7 +1773,7 @@ public string BaseUrl
         /// <br/>### smt-transfer
         /// <br/>The Statistical Machine Translation Transfer Learning engine is primarily used for translation suggestions. Typical endpoints: translate, get-word-graph, train-segment
         /// <br/>### nmt
-        /// <br/>The Neural Machine Translation engine is primarily used for pretranslations.  It is fine-tuned from Meta's NLLB-200. Valid IETF language tags provided to Serval will be converted to [NLLB-200 codes](https://github.com/facebookresearch/flores/tree/main/flores200#languages-in-flores-200).  See more about language tag resolution [here](https://github.com/sillsdev/serval/wiki/Language-Tag-Resolution-for-NLLB%E2%80%90200).
+        /// <br/>The Neural Machine Translation engine is primarily used for pretranslations.  It is fine-tuned from Meta's NLLB-200. Valid IETF language tags provided to Serval will be converted to [NLLB-200 codes](https://github.com/facebookresearch/flores/tree/main/flores200#languages-in-flores-200).  See more about language tag resolution [here](https://github.com/sillsdev/serval/wiki/FLORES%E2%80%90200-Language-Code-Resolution-for-NMT-Engine).
         /// <br/>            
         /// <br/>If you use a language among NLLB's supported languages, Serval will utilize everything the NLLB-200 model already knows about that language when translating. If the language you are working with is not among NLLB's supported languages, the language code will have no effect.
         /// <br/>            

src/Serval.Translation/Controllers/TranslationEnginesController.cs

@@ -83,7 +83,7 @@ CancellationToken cancellationToken
     /// ### smt-transfer
     /// The Statistical Machine Translation Transfer Learning engine is primarily used for translation suggestions. Typical endpoints: translate, get-word-graph, train-segment
     /// ### nmt
-    /// The Neural Machine Translation engine is primarily used for pretranslations.  It is fine-tuned from Meta's NLLB-200. Valid IETF language tags provided to Serval will be converted to [NLLB-200 codes](https://github.com/facebookresearch/flores/tree/main/flores200#languages-in-flores-200).  See more about language tag resolution [here](https://github.com/sillsdev/serval/wiki/Language-Tag-Resolution-for-NLLB%E2%80%90200).
+    /// The Neural Machine Translation engine is primarily used for pretranslations.  It is fine-tuned from Meta's NLLB-200. Valid IETF language tags provided to Serval will be converted to [NLLB-200 codes](https://github.com/facebookresearch/flores/tree/main/flores200#languages-in-flores-200).  See more about language tag resolution [here](https://github.com/sillsdev/serval/wiki/FLORES%E2%80%90200-Language-Code-Resolution-for-NMT-Engine).
     ///
     /// If you use a language among NLLB's supported languages, Serval will utilize everything the NLLB-200 model already knows about that language when translating. If the language you are working with is not among NLLB's supported languages, the language code will have no effect.
     ///