Update languages and version in README and website (#11694)

README.md

@@ -8,7 +8,7 @@ be used in real products.
 
 spaCy comes with
 [pretrained pipelines](https://spacy.io/models) and
-currently supports tokenization and training for **60+ languages**. It features
+currently supports tokenization and training for **70+ languages**. It features
 state-of-the-art speed and **neural network models** for tagging,
 parsing, **named entity recognition**, **text classification** and more,
 multi-task learning with pretrained **transformers** like BERT, as well as a
@@ -16,7 +16,7 @@ production-ready [**training system**](https://spacy.io/usage/training) and easy
 model packaging, deployment and workflow management. spaCy is commercial
 open-source software, released under the MIT license.
 
-💫 **Version 3.4.0 out now!**
+💫 **Version 3.4 out now!**
 [Check out the release notes here.](https://github.com/explosion/spaCy/releases)
 
 [![Azure Pipelines](https://img.shields.io/azure-devops/build/explosion-ai/public/8/master.svg?logo=azure-pipelines&style=flat-square&label=build)](https://dev.azure.com/explosion-ai/public/_build?definitionId=8)
@@ -79,7 +79,7 @@ more people can benefit from it.
 
 ## Features
 
-- Support for **60+ languages**
+- Support for **70+ languages**
 - **Trained pipelines** for different languages and tasks
 - Multi-task learning with pretrained **transformers** like BERT
 - Support for pretrained **word vectors** and embeddings

website/meta/languages.json

@@ -4,12 +4,22 @@
             "code": "af",
             "name": "Afrikaans"
         },
+        {
+            "code": "am",
+            "name": "Amharic",
+            "has_examples": true
+        },
         {
             "code": "ar",
             "name": "Arabic",
             "example": "هذه جملة",
             "has_examples": true
         },
+        {
+            "code": "az",
+            "name": "Azerbaijani",
+            "has_examples": true
+        },
         {
             "code": "bg",
             "name": "Bulgarian",
@@ -65,7 +75,7 @@
         {
             "code": "dsb",
             "name": "Lower Sorbian",
-	    "has_examples": true
+            "has_examples": true
         },
         {
             "code": "el",
@@ -142,6 +152,11 @@
             "code": "ga",
             "name": "Irish"
         },
+        {
+            "code": "grc",
+            "name": "Ancient Greek",
+            "has_examples": true
+        },
         {
             "code": "gu",
             "name": "Gujarati",
@@ -172,7 +187,7 @@
         {
             "code": "hsb",
             "name": "Upper Sorbian",
-	    "has_examples": true
+            "has_examples": true
         },
         {
             "code": "hu",
@@ -260,6 +275,10 @@
             "example": "Адамга эң кыйыны — күн сайын адам болуу",
             "has_examples": true
         },
+        {
+            "code": "la",
+            "name": "Latin"
+        },
         {
             "code": "lb",
             "name": "Luxembourgish",
@@ -448,6 +467,11 @@
             "example": "นี่คือประโยค",
             "has_examples": true
         },
+        {
+            "code": "ti",
+            "name": "Tigrinya",
+            "has_examples": true
+        },
         {
             "code": "tl",
             "name": "Tagalog"