Translations update from Hosted Weblate (#495)

* Translated using Weblate (German)

Currently translated at 90.9% (544 of 598 strings)

Translation: JASP/jaspMachineLearning-QML
Translate-URL: https://hosted.weblate.org/projects/jasp/jaspmachinelearning-qml/de/

* Translated using Weblate (Chinese (Traditional Han script))

Currently translated at 27.5% (165 of 598 strings)

Translation: JASP/jaspMachineLearning-QML
Translate-URL: https://hosted.weblate.org/projects/jasp/jaspmachinelearning-qml/zh_Hant/

---------

Co-authored-by: Johannes Keyser <[email protected]>
Co-authored-by: 陳寬裕 <[email protected]>

Author: 3 people

po/QML-de.po

@@ -1,9 +1,15 @@
 msgid ""
 msgstr ""
+"PO-Revision-Date: 2025-11-03 08:51+0000\n"
+"Last-Translator: Johannes Keyser <[email protected]>\n"
+"Language-Team: German <https://hosted.weblate.org/projects/jasp/"
+"jaspmachinelearning-qml/de/>\n"
+"Language: de\n"
 "MIME-Version: 1.0\n"
 "Content-Type: text/plain; charset=UTF-8\n"
 "Content-Transfer-Encoding: 8bit\n"
-"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+"Plural-Forms: nplurals=2; plural=n != 1;\n"
+"X-Generator: Weblate 5.14.1-dev\n"
 "X-Language: de\n"
 "X-Source-Language: American English\n"
 "X-Qt-Contexts: true\n"
@@ -977,7 +983,6 @@ msgstr ""
 "gesendet wurden. Es zeigt auch die Verbesserung der Devianz, die die "
 "Aufteilungen ergeben."
 
-#, fuzzy
 msgctxt "AttemptedSplits|"
 msgid "Only show splits in tree"
 msgstr "Nur Aufteilungen im Baum anzeigen"
@@ -1025,7 +1030,6 @@ msgctxt "AlgorithmicSettings|"
 msgid "Cosine"
 msgstr "Kosinus"
 
-#, fuzzy
 msgctxt "AlgorithmicSettings|"
 msgid "Inverse"
 msgstr "Invers"
@@ -1445,12 +1449,10 @@ msgctxt "ModelOptimization|"
 msgid "Uniform"
 msgstr "Gleichverteilung"
 
-#, fuzzy
 msgctxt "ModelOptimization|"
 msgid "One-point"
 msgstr "Ein-Punkt"
 
-#, fuzzy
 msgctxt "ModelOptimization|"
 msgid "Multi-point"
 msgstr "Multi-Punkt"
@@ -2016,7 +2018,6 @@ msgid "Adds a row with the silhouette score of each cluster to the table."
 msgstr ""
 "Fügt eine Zeile mit dem Silhouette-Score jedes Clusters zur Tabelle hinzu."
 
-#, fuzzy
 msgctxt "ClusterInfo|"
 msgid "Centers"
 msgstr "Zentren"

po/QML-zh_Hant.po

@@ -1,9 +1,15 @@
 msgid ""
 msgstr ""
+"PO-Revision-Date: 2025-11-03 08:51+0000\n"
+"Last-Translator: 陳寬裕 <[email protected]>\n"
+"Language-Team: Chinese (Traditional Han script) <https://hosted.weblate.org/"
+"projects/jasp/jaspmachinelearning-qml/zh_Hant/>\n"
+"Language: zh_Hant\n"
 "MIME-Version: 1.0\n"
 "Content-Type: text/plain; charset=UTF-8\n"
 "Content-Transfer-Encoding: 8bit\n"
 "Plural-Forms: nplurals=1; plural=0;\n"
+"X-Generator: Weblate 5.14.1-dev\n"
 "X-Language: zh_Hant\n"
 "X-Qt-Contexts: true\n"
 
@@ -331,7 +337,7 @@ msgstr "圖"
 
 msgctxt "mlClusteringHierarchical|"
 msgid "Dendrogram"
-msgstr ""
+msgstr "樹狀圖"
 
 msgctxt "mlClusteringHierarchical|"
 msgid "Training Parameters"
@@ -348,35 +354,35 @@ msgstr "歐幾里得"
 
 msgctxt "mlClusteringHierarchical|"
 msgid "Average"
-msgstr "平均"
+msgstr "平均距離法"
 
 msgctxt "mlClusteringHierarchical|"
 msgid "Single"
-msgstr ""
+msgstr "最短距離法"
 
 msgctxt "mlClusteringHierarchical|"
 msgid "Complete"
-msgstr ""
+msgstr "最長距離法"
 
 msgctxt "mlClusteringHierarchical|"
 msgid "Centroid"
-msgstr ""
+msgstr "群中心距離法"
 
 msgctxt "mlClusteringHierarchical|"
 msgid "Median"
 msgstr "中位數"
 
 msgctxt "mlClusteringHierarchical|"
 msgid "Ward.D"
-msgstr ""
+msgstr "華德法"
 
 msgctxt "mlClusteringHierarchical|"
 msgid "Ward.D2"
-msgstr ""
+msgstr "第二代華德法"
 
 msgctxt "mlClusteringHierarchical|"
 msgid "McQuitty"
-msgstr ""
+msgstr "McQuitty 法"
 
 #, fuzzy
 msgctxt "mlClusteringKMeans|"
@@ -653,7 +659,7 @@ msgstr "皮爾森"
 
 msgctxt "mlClusteringHierarchical|"
 msgid "Linkage"
-msgstr ""
+msgstr "集群方法"
 
 msgctxt "mlClusteringKMeans|"
 msgid "Max. iterations"
@@ -1812,7 +1818,7 @@ msgstr ""
 
 msgctxt "DecisionBoundary|"
 msgid "Add data points"
-msgstr ""
+msgstr "新增資料點"
 
 msgctxt "DecisionBoundary|"
 msgid "Show the observations in the data set as points in the plot."
@@ -1829,6 +1835,9 @@ msgid ""
 "optimal number of clusters. The plot shows three curves using AIC, BIC, and "
 "'elbow method' optimization."
 msgstr ""
+"生成一個圖表，圖的 Y 軸為群內平方和總和（total within sum of squares），X 軸"
+"為群數（number of clusters）。這個圖可用來判斷最佳群數。圖中會顯示三條曲線，"
+"分別依據 AIC、BIC 以及手肘部法（elbow method）進行最佳化。"
 
 msgctxt "PredictivePerformance|"
 msgid "Predictive performance"
@@ -1864,6 +1873,11 @@ msgid ""
 "across several clustering analyses you can set their seed to the same value, "
 "as the t-SNE algorithm uses random starting values."
 msgstr ""
+"生成集群結果的 t-SNE 圖。t-SNE 圖可用於將高維資料投影到二維空間，以視覺化資料"
+"點之間的相對距離。由於 t-SNE 的二維空間坐標沒有明確的數值意義，因此軸本身不可"
+"解釋。t-SNE 圖的目的是呈現觀測值與群之間的相對距離印象。若想在多次集群分析中"
+"生成相同的 t-SNE 圖，可以將隨機起點(或稱種子，seed）設為相同，因為 t-SNE 演算"
+"法會使用隨機的起始值。"
 
 #, fuzzy
 msgctxt "Tsne|"
@@ -1876,13 +1890,13 @@ msgstr ""
 
 msgctxt "Tsne|"
 msgid "Add data labels"
-msgstr ""
+msgstr "新增資料標籤"
 
 msgctxt "Tsne|"
 msgid ""
 "Add the row numbers of the observations in the data set as labels to the "
 "plot."
-msgstr ""
+msgstr "將資料集中各觀測值的列號（row numbers）作為標籤，加入到圖中。"
 
 #, fuzzy
 msgctxt "ClassProportions|"
@@ -1919,7 +1933,7 @@ msgstr ""
 
 msgctxt "ClusterInfo|"
 msgid "Silhouette score"
-msgstr "輪廓係數"
+msgstr "輪廓係數(Silhouette)"
 
 msgctxt "ClusterInfo|"
 msgid "Adds a row with the silhouette score of each cluster to the table."
@@ -2016,7 +2030,7 @@ msgstr "集群決策"
 
 msgctxt "ClusterDetermination|"
 msgid "Choose how to determine the number of clusters in the model."
-msgstr ""
+msgstr "選擇用何種方式來決定模型中的集群數量。"
 
 #, fuzzy
 msgctxt "ClusterDetermination|"
@@ -2027,15 +2041,16 @@ msgctxt "ClusterDetermination|"
 msgid ""
 "Enables you to generate a fixed amount of clusters. This allows you to "
 "generate your own specified number of clusters, and thus, optimize manually."
-msgstr ""
+msgstr "可讓你生成固定數量的集群。這表示你可以自行指定要分成的集群，並以此手動進行最"
+"佳化。"
 
 msgctxt "ClusterDetermination|"
 msgid "Clusters"
 msgstr "集群數"
 
 msgctxt "ClusterDetermination|"
 msgid "The number of clusters to be fitted."
-msgstr ""
+msgstr "要擬合(或設定)的集群數量。"
 
 msgctxt "ClusterDetermination|"
 msgid "Optimized according to"
@@ -2045,7 +2060,7 @@ msgctxt "ClusterDetermination|"
 msgid ""
 "Enables you to choose an optimization method. BIC optimization is set as "
 "default."
-msgstr ""
+msgstr "允許你選擇一種最佳化方法。系統預設使用 BIC 最佳化。"
 
 msgctxt "ClusterDetermination|"
 msgid ""
@@ -2058,6 +2073,11 @@ msgid ""
 "uses the similarity of observations within a cluster and their dissimilarity "
 "to other clusters for optimizing the clustering output."
 msgstr ""
+"最佳化方法的選項包括 AIC、BIC 和 Silhouette(輪廓係數)。AIC 是根據群內平方和("
+"群內變異量)、生成的群數，以及資料的維度數來最佳化群集結果。BIC 則是根據群內平"
+"方和(群內變異量)、生成的群數、維度數，以及樣本大小來最佳化群集結果。"
+"Silhouette(輪廓係數)則透過比較同一群內觀測值之間的相似程度，以及它們與其他群"
+"之間的不相似程度，來評估並最佳化群集結果。"
 
 msgctxt "ClusterDetermination|"
 msgid "Max. clusters"
@@ -2144,7 +2164,7 @@ msgstr ""
 
 msgctxt "ScaleVariables|"
 msgid "Scale features"
-msgstr "特徵縮放"
+msgstr "特徵標準化"
 
 msgctxt "ScaleVariables|"
 msgid ""
@@ -2154,18 +2174,24 @@ msgid ""
 "the Z-score standardization of a mean of 0 and a standard deviation of 1. "
 "This option is selected by default."
 msgstr ""
+"將資料集中的連續變數進行標準化。標準化的目的，是讓原本量尺不同的變數，其數值"
+"能被轉換到相似的尺度範圍中。如此一來，可以提升數值運算的穩定性。JASP 採用 Z "
+"分數標準化方式，將各變數轉換為平均數為 0、標準差為 1 的常態分配。此選項為預設"
+"啟用。"
 
-#, fuzzy
 msgctxt "SetSeed|"
 msgid "Set seed"
-msgstr "設定種子值"
+msgstr "設定隨機起點"
 
 msgctxt "SetSeed|"
 msgid ""
 "Gives the option to set a seed for your analysis. Setting a seed will "
 "exclude random processes influencing an analysis. For example, setting a "
 "seed makes it possible to re-run analyses with the same data splits."
 msgstr ""
+"此選項可讓你為分析設定一個隨機起點(或稱種子，seed)。設定隨機起點後，可以排除"
+"隨機過程對分析結果的影響。例如，設定隨機起點可讓你在重新執行分析時，使用相同"
+"的資料分割方式，確保結果一致。"
 
 msgctxt "SetSeed|"
 msgid "The value of the seed."