ai generated translations for missing languages

Author: max-mauermann

birdnet_analyzer/lang/fi.json

@@ -196,6 +196,15 @@
     "segments-tab-max-seq-number-label": "Segmenttien enimmäismäärä",
     "segments-tab-min-confidence-slider-info": "Valitse vain segmentit, joiden luotettavuus on tätä raja-arvoa korkeampi.",
     "segments-tab-min-confidence-slider-label": "Vähimmäisluotettavuus",
+    "segments-tab-max-confidence-slider-info": "Valitse vain segmentit, joiden luotettavuus on tätä raja-arvoa alhaisempi.",
+    "segments-tab-max-confidence-slider-label": "Enimmäisluotettavuus",
+    "segments-tab-collection-mode-label": "Keräystila",
+    "segments-tab-collection-mode-info": "Määrittää, miten segmentit valitaan tulostiedostoista.",
+    "segments-tab-n-bins-label": "Luotettavuusluokkien määrä",
+    "segments-tab-n-bins-info": "Asettaa luotettavuusluokkien määrän tasapainotetussa keräystilassa.",
+    "segments-tab-collection-mode-radio-option-random": "satunnainen",
+    "segments-tab-collection-mode-radio-option-confidence": "luotettavuus",
+    "segments-tab-collection-mode-radio-option-balanced": "tasapainotettu",
     "segments-tab-output-selection-button-label": "Valitse tulostehakemisto",
     "segments-tab-output-selection-textbox-placeholder": "Sama kuin äänihakemisto, jos ei valittu",
     "segments-tab-result-dataframe-column-execution-header": "Suoritus",
@@ -339,5 +348,6 @@
     "validation-no-valid-frequency": "Anna kelvollinen taajuus",
     "validation-no-valid-learning-rate": "Anna kelvollinen oppimistahti.",
     "validation-non-event-samples-required-in-binary-classification": "Binääriluokittelussa vaaditaan ei-tapahtuma-näytteitä",
-    "validation-only-repeat-upsampling-for-multi-label": "Moninimiöisessä luokittelussa vain 'toista'-ylösnäytteistys on käytettävissä"
+    "validation-only-repeat-upsampling-for-multi-label": "Moninimiöisessä luokittelussa vain 'toista'-ylösnäytteistys on käytettävissä",
+    "validation-max-confidence-lower-than-min-confidence": "Enimmäisluotettavuuden on oltava suurempi kuin vähimmäisluotettavuus" 
 }

birdnet_analyzer/lang/fr.json

@@ -196,6 +196,15 @@
     "segments-tab-max-seq-number-label": "Nombre maximal de segments",
     "segments-tab-min-confidence-slider-info": "Ne sélectionner que les segments dont la confiance est supérieure à ce seuil.",
     "segments-tab-min-confidence-slider-label": "Confiance minimale",
+    "segments-tab-max-confidence-slider-info": "Ne sélectionner que les segments dont la confiance est inférieure à ce seuil.",
+    "segments-tab-max-confidence-slider-label": "Confiance maximale",
+    "segments-tab-collection-mode-label": "Mode de collecte",
+    "segments-tab-collection-mode-info": "Détermine comment les segments sont sélectionnés à partir des fichiers de résultats.",
+    "segments-tab-n-bins-label": "Nombre de classes de confiance",
+    "segments-tab-n-bins-info": "Définit le nombre de classes de confiance pour le mode de collecte équilibré.",
+    "segments-tab-collection-mode-radio-option-random": "aléatoire",
+    "segments-tab-collection-mode-radio-option-confidence": "confiance",
+    "segments-tab-collection-mode-radio-option-balanced": "équilibré",
     "segments-tab-output-selection-button-label": "Sélectionner le répertoire de sortie",
     "segments-tab-output-selection-textbox-placeholder": "Identique au répertoire audio s'il n'est pas sélectionné",
     "segments-tab-result-dataframe-column-execution-header": "Execution",
@@ -339,5 +348,6 @@
     "validation-no-valid-frequency": "Veuillez saisir une fréquence valide dans",
     "validation-no-valid-learning-rate": "Veuillez saisir un taux d'apprentissage valide.",
     "validation-non-event-samples-required-in-binary-classification": "Des échantillons sans événement sont nécessaires pour la classification binaire.",
-    "validation-only-repeat-upsampling-for-multi-label": "Seul l'échantillonnage ascendant répété est disponible pour les étiquettes multiples."
+    "validation-only-repeat-upsampling-for-multi-label": "Seul l'échantillonnage ascendant répété est disponible pour les étiquettes multiples.",
+    "validation-max-confidence-lower-than-min-confidence": "La confiance maximale doit être supérieure à la confiance minimale"
 }

birdnet_analyzer/lang/id.json

@@ -196,6 +196,15 @@
     "segments-tab-max-seq-number-label": "Jumlah maksimum segmen",
     "segments-tab-min-confidence-slider-info": "Pilih hanya segmen dengan kepercayaan di atas ambang batas ini.",
     "segments-tab-min-confidence-slider-label": "Kepercayaan minimum",
+    "segments-tab-max-confidence-slider-info": "Pilih hanya segmen dengan kepercayaan di bawah ambang batas ini.",
+    "segments-tab-max-confidence-slider-label": "Kepercayaan maksimum",
+    "segments-tab-collection-mode-label": "Mode koleksi",
+    "segments-tab-collection-mode-info": "Menentukan bagaimana segmen dipilih dari file hasil.",
+    "segments-tab-n-bins-label": "Jumlah bin kepercayaan",
+    "segments-tab-n-bins-info": "Mengatur jumlah bin kepercayaan untuk mode koleksi seimbang.",
+    "segments-tab-collection-mode-radio-option-random": "acak",
+    "segments-tab-collection-mode-radio-option-confidence": "kepercayaan",
+    "segments-tab-collection-mode-radio-option-balanced": "seimbang",
     "segments-tab-output-selection-button-label": "Pilih output direktori",
     "segments-tab-output-selection-textbox-placeholder": "Sama dengan direktori audio jika tidak dipilih",
     "segments-tab-result-dataframe-column-execution-header": "Eksekusi",
@@ -339,5 +348,6 @@
     "validation-no-valid-frequency": "Silakan masukkan frekuensi yang valid dalam",
     "validation-no-valid-learning-rate": "Silakan masukkan laju pembelajaran yang valid.",
     "validation-non-event-samples-required-in-binary-classification": "Sampel non-pertanyaan diperlukan untuk klasifikasi biner",
-    "validation-only-repeat-upsampling-for-multi-label": "Hanya 'repeat-upsampling' yang tersedia untuk 'multi-label'"
+    "validation-only-repeat-upsampling-for-multi-label": "Hanya 'repeat-upsampling' yang tersedia untuk 'multi-label'",
+    "validation-max-confidence-lower-than-min-confidence": "Kepercayaan maksimum harus lebih besar dari kepercayaan minimum"
 }

birdnet_analyzer/lang/pt-br.json

@@ -196,6 +196,15 @@
     "segments-tab-max-seq-number-label": "Número máximo de segmentos",
     "segments-tab-min-confidence-slider-info": "Selecione apenas segmentos com nível de confiança acima deste limite.",
     "segments-tab-min-confidence-slider-label": "Nível mínimo de confiança",
+    "segments-tab-max-confidence-slider-info": "Selecione apenas segmentos com nível de confiança abaixo deste limite.",
+    "segments-tab-max-confidence-slider-label": "Confiança máxima",
+    "segments-tab-collection-mode-label": "Modo de coleta",
+    "segments-tab-collection-mode-info": "Determina como os segmentos são selecionados a partir dos arquivos de resultados.",
+    "segments-tab-n-bins-label": "Número de intervalos de confiança",
+    "segments-tab-n-bins-info": "Define o número de intervalos de confiança para o modo de coleta balanceado.",
+    "segments-tab-collection-mode-radio-option-random": "aleatório",
+    "segments-tab-collection-mode-radio-option-confidence": "confiança",
+    "segments-tab-collection-mode-radio-option-balanced": "balanceado",
     "segments-tab-output-selection-button-label": "Selecione o diretório de saída",
     "segments-tab-output-selection-textbox-placeholder": "Se não selecionado, o mesmo diretório de áudios será utilizado",
     "segments-tab-result-dataframe-column-execution-header": "Execução",
@@ -339,5 +348,6 @@
     "validation-no-valid-frequency": "Adicionar uma frequência válida em",
     "validation-no-valid-learning-rate": "Adicionar uma taxa de amostragem válida.",
     "validation-non-event-samples-required-in-binary-classification": "Amostras sem eventos são necessárias para classificação binária",
-    "validation-only-repeat-upsampling-for-multi-label": "Somente repetição de upsampling está disponível para vários rótulos"
+    "validation-only-repeat-upsampling-for-multi-label": "Somente repetição de upsampling está disponível para vários rótulos",
+    "validation-max-confidence-lower-than-min-confidence": "A confiança máxima deve ser maior que a confiança mínima"
 }

birdnet_analyzer/lang/ru.json

@@ -196,6 +196,15 @@
     "segments-tab-max-seq-number-label": "Максимальное количество сегментов",
     "segments-tab-min-confidence-slider-info": "Выберите только сегменты с уверенностью выше этого порога.",
     "segments-tab-min-confidence-slider-label": "Минимальная достоверность",
+    "segments-tab-max-confidence-slider-info": "Выберите только сегменты с уверенностью ниже этого порога.",
+    "segments-tab-max-confidence-slider-label": "Максимальная достоверность",
+    "segments-tab-collection-mode-label": "Режим сбора",
+    "segments-tab-collection-mode-info": "Определяет, как сегменты выбираются из файлов результатов.",
+    "segments-tab-n-bins-label": "Количество корзин достоверности",
+    "segments-tab-n-bins-info": "Устанавливает количество корзин достоверности для сбалансированного режима сбора.",
+    "segments-tab-collection-mode-radio-option-random": "случайный",
+    "segments-tab-collection-mode-radio-option-confidence": "достоверность",
+    "segments-tab-collection-mode-radio-option-balanced": "сбалансированный",
     "segments-tab-output-selection-button-label": "Выберите выходной каталог",
     "segments-tab-output-selection-textbox-placeholder": "То же, что и каталог аудио, если не выбран",
     "segments-tab-result-dataframe-column-execution-header": "Выполнение",
@@ -339,5 +348,6 @@
     "validation-no-valid-frequency": "Введите допустимую частоту в",
     "validation-no-valid-learning-rate": "Пожалуйста, введите допустимый коэффициент обучения.",
     "validation-non-event-samples-required-in-binary-classification": "Для бинарной классификации требуются выборки, не связанные с событиями",
-    "validation-only-repeat-upsampling-for-multi-label": "Для нескольких меток доступна только повторная повышающая дискретизация"
+    "validation-only-repeat-upsampling-for-multi-label": "Для нескольких меток доступна только повторная повышающая дискретизация",
+    "validation-max-confidence-lower-than-min-confidence": "Максимальная достоверность должна быть больше минимальной достоверности"
 }

birdnet_analyzer/lang/se.json

@@ -196,6 +196,15 @@
     "segments-tab-max-seq-number-label": "Maximalt antal segment",
     "segments-tab-min-confidence-slider-info": "Välj endast segment med en konfidens över detta tröskelvärde.",
     "segments-tab-min-confidence-slider-label": "Minsta konfidens",
+    "segments-tab-max-confidence-slider-info": "Välj endast segment med en konfidens under detta tröskelvärde.",
+    "segments-tab-max-confidence-slider-label": "Maximal konfidens",
+    "segments-tab-collection-mode-label": "Insamlingsläge",
+    "segments-tab-collection-mode-info": "Bestämmer hur segment väljs från resultatfilerna.",
+    "segments-tab-n-bins-label": "Antal konfidensintervall",
+    "segments-tab-n-bins-info": "Anger antalet konfidensintervall för det balanserade insamlingsläget.",
+    "segments-tab-collection-mode-radio-option-random": "slumpmässig",
+    "segments-tab-collection-mode-radio-option-confidence": "konfidens",
+    "segments-tab-collection-mode-radio-option-balanced": "balanserad",
     "segments-tab-output-selection-button-label": "Välj utdatakatalog",
     "segments-tab-output-selection-textbox-placeholder": "Samma som ljudkatalog om inte vald",
     "segments-tab-result-dataframe-column-execution-header": "Körning",
@@ -339,5 +348,6 @@
     "validation-no-valid-frequency": "Ange en giltig frekvens i",
     "validation-no-valid-learning-rate": "Ange en giltig inlärningshastighet.",
     "validation-non-event-samples-required-in-binary-classification": "Icke-händelseexempel krävs för binär klassificering",
-    "validation-only-repeat-upsampling-for-multi-label": "Endast upprepa-upsampling är tillgängligt för multi-etikett"
+    "validation-only-repeat-upsampling-for-multi-label": "Endast upprepa-upsampling är tillgängligt för multi-etikett",
+    "validation-max-confidence-lower-than-min-confidence": "Maximal konfidens måste vara större än minimal konfidens"
 }

birdnet_analyzer/lang/tlh.json

@@ -196,6 +196,15 @@
     "segments-tab-max-seq-number-label": "nIvbogh wavmey",
     "segments-tab-min-confidence-slider-info": "wavmey lo' vIt patlh SeH.",
     "segments-tab-min-confidence-slider-label": "minimum vIt",
+    "segments-tab-max-confidence-slider-info": "patlhvam tISIvbogh vIt 'e' vIghajbogh wavmey neH wIv.",
+    "segments-tab-max-confidence-slider-label": "nIvbogh vIt",
+    "segments-tab-collection-mode-label": "chut Segh",
+    "segments-tab-collection-mode-info": "wavmey chu'Ha' Daqmeyvo' wIvmeH chut Segh.",
+    "segments-tab-n-bins-label": "vIt binmey mI'",
+    "segments-tab-n-bins-info": "chu'Ha' chut Segh balancemey vIt binmey mI'.",
+    "segments-tab-collection-mode-radio-option-random": "SuD",
+    "segments-tab-collection-mode-radio-option-confidence": "vIt",
+    "segments-tab-collection-mode-radio-option-balanced": "balancemey",
     "segments-tab-output-selection-button-label": "wavmey chu'",
     "segments-tab-output-selection-textbox-placeholder": "De' wav Daq rap lo'laH",
     "segments-tab-result-dataframe-column-execution-header": "Qap",
@@ -339,5 +348,6 @@
     "validation-no-valid-frequency": "qeq 'eS patlh yIchoH",
     "validation-no-valid-learning-rate": "qeq patlh yIchoH.",
     "validation-non-event-samples-required-in-binary-classification": "binary qeq 'eS Seghmey lo'laH.",
-    "validation-only-repeat-upsampling-for-multi-label": "wa'logh qochHa' Seghmey multi-label lo'laH."
+    "validation-only-repeat-upsampling-for-multi-label": "wa'logh qochHa' Seghmey multi-label lo'laH.",
+    "validation-max-confidence-lower-than-min-confidence": "nIvbogh vIt patlh tIn law' minimum vIt patlh tIn puS" 
 }

birdnet_analyzer/lang/zh_TW.json

@@ -196,6 +196,15 @@
     "segments-tab-max-seq-number-label": "音檔片段最大數量",
     "segments-tab-min-confidence-slider-info": "調整可信度閾值，以篩選掉低於可信度閾值的偵測",
     "segments-tab-min-confidence-slider-label": "最低可信度(可信度閾值)",
+    "segments-tab-max-confidence-slider-info": "僅選擇低於此可信度閾值的片段。",
+    "segments-tab-max-confidence-slider-label": "最大可信度",
+    "segments-tab-collection-mode-label": "收集模式",
+    "segments-tab-collection-mode-info": "決定如何從結果文件中選擇片段。",
+    "segments-tab-n-bins-label": "可信度分箱數",
+    "segments-tab-n-bins-info": "設定平衡收集模式下的可信度分箱數量。",
+    "segments-tab-collection-mode-radio-option-random": "隨機",
+    "segments-tab-collection-mode-radio-option-confidence": "可信度",
+    "segments-tab-collection-mode-radio-option-balanced": "平衡",
     "segments-tab-output-selection-button-label": "選擇輸出資料夾",
     "segments-tab-output-selection-textbox-placeholder": "若無指定，將使用與音檔資料夾相同路徑",
     "segments-tab-result-dataframe-column-execution-header": "執行",
@@ -339,5 +348,6 @@
     "validation-no-valid-frequency": "請輸入有效的頻率",
     "validation-no-valid-learning-rate": "請輸入有效的學習速率",
     "validation-non-event-samples-required-in-binary-classification": "在只有兩個分類的模型訓練中必須提供非事件的樣本音檔",
-    "validation-only-repeat-upsampling-for-multi-label": "只在多個分類的模型訓練中進行上取樣"
+    "validation-only-repeat-upsampling-for-multi-label": "只在多個分類的模型訓練中進行上取樣",
+    "validation-max-confidence-lower-than-min-confidence": "最大可信度必須大於最小可信度"
 }