diff --git a/code/libraries/language-processing/java/nu/marginalia/language/filter/FasttextLanguagePredictionModel.java b/code/libraries/language-processing/java/nu/marginalia/language/filter/FasttextLanguagePredictionModel.java
index 5eca3c76..60a4ac87 100644
--- a/code/libraries/language-processing/java/nu/marginalia/language/filter/FasttextLanguagePredictionModel.java
+++ b/code/libraries/language-processing/java/nu/marginalia/language/filter/FasttextLanguagePredictionModel.java
@@ -4,6 +4,7 @@ import com.github.jfasttext.JFastText;
 import nu.marginalia.LanguageModels;
 import nu.marginalia.language.model.DocumentLanguageData;
 
+/** A language prediction model that uses a FastText model to predict the language of a document */
 public class FasttextLanguagePredictionModel implements LanguagePredictionModel {
     private final JFastText jft = new JFastText();
 
diff --git a/code/libraries/language-processing/java/nu/marginalia/language/filter/LanguageFilter.java b/code/libraries/language-processing/java/nu/marginalia/language/filter/LanguageFilter.java
index bf390e45..12dd45f9 100644
--- a/code/libraries/language-processing/java/nu/marginalia/language/filter/LanguageFilter.java
+++ b/code/libraries/language-processing/java/nu/marginalia/language/filter/LanguageFilter.java
@@ -1,5 +1,7 @@
 package nu.marginalia.language.filter;
 
+import com.google.inject.Inject;
+import com.google.inject.Singleton;
 import lombok.SneakyThrows;
 import nu.marginalia.LanguageModels;
 import nu.marginalia.language.encoding.UnicodeRanges;
@@ -8,8 +10,6 @@ import org.jsoup.nodes.Document;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 
-import com.google.inject.Inject;
-import com.google.inject.Singleton;
 import java.util.Optional;
 import java.util.Set;
 
@@ -31,10 +31,10 @@ public class LanguageFilter {
         if(LANGUAGE_DETECTION_MODEL_VERSION < 0) return 1.0;
 
         if (LANGUAGE_DETECTION_MODEL_VERSION == 1) {
-            return languagePredictionModel2.predictEnglish(dld);
+            return languagePredictionModel1.predictEnglish(dld);
         }
         else if (LANGUAGE_DETECTION_MODEL_VERSION == 2) {
-            return languagePredictionModel1.predictEnglish(dld);
+            return languagePredictionModel2.predictEnglish(dld);
         }
         else { // default is to run both models
             if (languagePredictionModel1.predictEnglish(dld) < 0.1)
diff --git a/code/libraries/language-processing/java/nu/marginalia/language/filter/UngaBungaLanguagePredictionModel.java b/code/libraries/language-processing/java/nu/marginalia/language/filter/UngaBungaLanguagePredictionModel.java
index 8b3c4567..b27c1aaf 100644
--- a/code/libraries/language-processing/java/nu/marginalia/language/filter/UngaBungaLanguagePredictionModel.java
+++ b/code/libraries/language-processing/java/nu/marginalia/language/filter/UngaBungaLanguagePredictionModel.java
@@ -8,10 +8,14 @@ import java.util.HashSet;
 import java.util.Objects;
 import java.util.Set;
 
+/** A simple language prediction model that uses a dictionary of English words
+ *  and requires that a certain fraction of the words in the document present in that
+ *  dictionary for the document to be considered English.
+ *  */
 public class UngaBungaLanguagePredictionModel implements LanguagePredictionModel {
     private static final Set<String> englishWords = new HashSet<>();
 
-    public UngaBungaLanguagePredictionModel() throws Exception {
+    public UngaBungaLanguagePredictionModel() {
         try (var resource = Objects.requireNonNull(ClassLoader.getSystemResourceAsStream("dictionary/en-1000"),
                 "Could not load word frequency table");
              var br = new BufferedReader(new InputStreamReader(resource))