added zh_TW.json file for additional GUI language (#393)

lang/zh_TW.json

@@ -0,0 +1,172 @@
+{
+    "single-tab-title": "單筆音檔",
+    "single-audio-label": "檔案",
+    "single-tab-output-header-start": "開始(秒)",
+    "single-tab-output-header-end": "結束(秒)",
+    "single-tab-output-header-sci-name": "學名",
+    "single-tab-output-header-common-name": "俗名",
+    "single-tab-output-header-confidence": "可信度",
+    "inference-settings-accordion-label": "參數設定",
+    "inference-settings-confidence-slider-label": "最低可信度(可信度閾值)",
+    "inference-settings-confidence-slider-info": "結果的表單將會篩選掉低於可信度閾值的物種偵測",
+    "inference-settings-sensitivity-slider-label": "靈敏度",
+    "inference-settings-sensitivity-slider-info": "調整可信度的分布曲線，靈敏度越高，可信度數值普遍越高",
+    "inference-settings-overlap-slider-label": "重疊(秒)",
+    "inference-settings-overlap-slider-info": "BirdNET 以每三秒鐘的聲音片段為計算單位，此參數決定每個聲音片段之間的重疊秒數",
+    "inference-settings-fmin-number-label": "最低帶通頻率(Hz)",
+    "inference-settings-fmin-number-info": "注意，訓練用資料必須同時有相同的最低帶通頻率，此設定才為有效",
+    "inference-settings-fmax-number-label": "最高帶通頻率(Hz)",
+    "inference-settings-fmax-number-info": "注意，訓練用資料必須同時有相同的最高帶通頻率，此設定才為有效",
+    "species-list-accordion-label": "物種清單",
+    "species-list-radio-label": "物種清單種類",
+    "species-list-radio-info": "結果的表單只會保留物種清單以內的物種",
+    "species-list-radio-option-custom-list": "客製化物種清單",
+    "species-list-radio-option-predict-list": "依地點選擇物種清單",
+    "species-list-radio-option-custom-classifier": "客製化分類器",
+    "species-list-radio-option-all": "全部物種",
+    "species-list-custom-list-file-label": "檔案",
+    "species-list-coordinates-lat-number-label": "緯度",
+    "species-list-coordinates-lat-number-info": "錄音地點緯度",
+    "species-list-coordinates-lon-number-label": "經度",
+    "species-list-coordinates-lon-number-info": "錄音地點經度",
+    "species-list-coordinates-yearlong-checkbox-label": "全年",
+    "species-list-coordinates-week-slider-label": "週",
+    "species-list-coordinates-week-slider-info": "選擇音檔的錄音時間(一年中的第幾周)，注意這裡簡化每個月有四周，因此數值必須介於 1 到 48",
+    "species-list-coordinates-threshold-slider-label": "地點篩選閾值",
+    "species-list-coordinates-threshold-slider-info": "調整包含在物種清單的最低物種發生機率，以篩選掉低於該數值的物種",
+    "species-list-custom-classifier-selection-button-label": "選擇分類器",
+    "analyze-locale-dropdown-label": "語言環境",
+    "analyze-locale-dropdown-info": "在結果的表單中使用特定語言的物種俗名",
+    "analyze-start-button-label": "開始分析",
+    "multi-tab-title": "多筆音檔",
+    "multi-tab-input-selection-button-label": "選擇音檔資料夾(遞迴)",
+    "multi-tab-samples-dataframe-column-subpath-header": "音檔路徑",
+    "multi-tab-samples-dataframe-column-duration-header": "長度",
+    "multi-tab-samples-dataframe-no-files-found": "找無檔案",
+    "multi-tab-output-selection-button-label": "選擇輸出資料夾",
+    "multi-tab-output-textbox-label": "輸出資料夾",
+    "multi-tab-output-textbox-placeholder": "若無指定，將使用與輸入資料夾相同路徑",
+    "multi-tab-output-accordion-label": "輸出設定",
+    "multi-tab-output-radio-label": "輸出格式",
+    "multi-tab-output-radio-info": "指定結果表單的呈現格式",
+    "multi-tab-output-combine-tables-checkbox-label": "合併多個輸出檔案",
+    "multi-tab-output-combine-tables-checkbox-info": "選擇此選項以合併多個輸出檔案至單一個檔案",
+    "multi-tab-output-combined-table-name-textbox-label": "合併後的輸出檔案名稱",
+    "multi-tab-output-combined-table-name-textbox-info": "指定合併後的輸出檔案名稱",
+    "multi-tab-skip-existing-checkbox-label": "跳過已分析的音檔",
+    "multi-tab-skip-existing-checkbox-info": "跳過已經有輸出結果的音檔，避免重複分析",
+    "multi-tab-batchsize-number-label": "批次量",
+    "multi-tab-batchsize-number-info": "在同一時間分析的音檔數量",
+    "multi-tab-threads-number-label": "執行緒",
+    "multi-tab-threads-number-info": "電腦核心執行緒數量",
+    "multi-tab-result-dataframe-column-file-header": "檔案",
+    "multi-tab-result-dataframe-column-execution-header": "執行",
+    "training-tab-title": "訓練客製化分類器",
+    "training-tab-input-selection-button-label": "選擇訓練資料",
+    "training-tab-classes-dataframe-column-classes-header": "聲音分類",
+    "training-tab-select-output-button-label": "選擇分類器輸出資料夾",
+    "training-tab-classifier-textbox-info": "新分類器名稱",
+    "training-tab-output-format-radio-label": "模型輸出格式",
+    "training-tab-output-format-radio-info": "訓練後分類器的格式",
+    "training-tab-output-format-both": "兩者",
+    "training-tab-autotune-checkbox-label": "使用自動調諧",
+    "training-tab-autotune-checkbox-info": "自動尋找最佳的超參數，但會需要較多的運算時間",
+    "training-tab-autotune-trials-number-label": "試驗數量",
+    "training-tab-autotune-trials-number-info": "模型的訓練次數，用來微調模型的超參數",
+    "training-tab-autotune-executions-number-label": "每次試驗的執行次數",
+    "training-tab-autotune-executions-number-info": "用相同超參數進行試驗的重複次數，用來減低超參數微調時的變量",
+    "training-tab-epochs-number-label": "期",
+    "training-tab-epochs-number-info": "訓練期(eopch)數量",
+    "training-tab-batchsize-number-label": "批次量",
+    "training-tab-batchsize-number-info": "在同一時間分析的音檔數量",
+    "training-tab-learningrate-number-label": "學習速率",
+    "training-tab-learningrate-number-info": "最佳化器的學習速率",
+    "training-tab-upsampling-radio-label": "上取樣模式",
+    "training-tab-upsampling-radio-info": "上取樣樣本較少的類別已達到平衡的訓練資料",
+    "training-tab-upsampling-radio-option-repeat": "重覆",
+    "training-tab-upsampling-radio-option-mean": "平均",
+    "training-tab-upsampling-ratio-slider-label": "上取樣比例",
+    "training-tab-upsampling-ratio-slider-info": "在上取樣後，最少數類別與最多數類別的資料數量最小比例",
+    "training-tab-hiddenunits-number-label": "隱藏單元",
+    "training-tab-hiddenunits-number-info": "隱藏單元的數量，若大於零，將使用雙層分類器",
+    "training-tab-use-mixup-checkbox-label": "使用 Mixup",
+    "training-tab-use-mixup-checkbox-info": "Mixup 是一種數據增強的技術，利用混和兩套資料和標記來產生新的資料樣本",
+    "training-tab-crop-mode-radio-label": "剪裁模式",
+    "training-tab-crop-mode-radio-info": "當樣本長度大於模型輸入時，設定剪裁的模式",
+    "training-tab-crop-mode-radio-option-center": "中間",
+    "training-tab-crop-mode-radio-option-first": "第一個",
+    "training-tab-crop-mode-radio-option-segments": "音檔片段",
+    "training-tab-crop-overlap-number-label": "剪裁後音檔片段的重疊(秒)",
+    "training-tab-crop-overlap-number-info": "調整訓練資料的重疊秒數",
+    "training-tab-model-save-mode-radio-label": "模型儲存方法",
+    "training-tab-model-save-mode-radio-info": "'取代'將改寫原本的分類層，只留下新訓練的分類，而'附加'將結合原先的分類層，再加上新訓練的分類",
+    "training-tab-model-save-mode-radio-option-replace": "取代",
+    "training-tab-model-save-mode-radio-option-append": "附加",
+    "training-tab-cache-mode-radio-label": "訓練資料快取模式",
+    "training-tab-cache-mode-radio-info": "調整如何快取訓練資料，若不想使用快取，選擇'無'；若想直接從資料載入，選擇'載入'；若想儲存壓縮後的訓練資料，選擇'儲存'",
+    "training-tab-cache-mode-radio-option-none": "無",
+    "training-tab-cache-mode-radio-option-load": "載入",
+    "training-tab-cache-mode-radio-option-save": "儲存",
+    "training-tab-cache-select-directory-button-label": "選擇快取檔案儲存路徑",
+    "training-tab-cache-file-name-textbox-info": "指定快取檔案名稱",
+    "training-tab-cache-select-file-button-label": "選擇快取檔案路徑",
+    "training-tab-start-training-button-label": "開始訓練",
+    "training-tab-early-stoppage-msg": "提前終止，模型驗證指標並未改善",
+    "segments-tab-title": "音檔片段擷取",
+    "segments-tab-select-audio-input-directory-button-label": "選擇音檔資料夾(遞迴)",
+    "segments-tab-select-results-input-directory-button-label": "選擇偵測結果所在資料夾",
+    "segments-tab-results-input-textbox-placeholder": "若無指定，將使用與音檔資料夾相同路徑",
+    "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-min-confidence-slider-label": "最低可信度(可信度閾值)",
+    "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-max-seq-number-label": "音檔片段最大數量",
+    "segments-tab-max-seq-number-info": "每個物種音檔片段隨機取樣的最大數量",
+    "segments-tab-seq-length-number-label": "音檔長度(秒)",
+    "segments-tab-seq-length-number-info": "擷取出音檔片段的秒數，最短的秒數為3秒，若大於3秒，則將會在偵測的音檔片段頭尾加上相同長度",
+    "segments-tab-threads-number-label": "執行緒",
+    "segments-tab-threads-number-info": "電腦核心執行緒數量",
+    "segments-tab-extract-button-label": "擷取音檔片段",
+    "segments-tab-result-dataframe-column-file-header": "檔案",
+    "segments-tab-result-dataframe-column-execution-header": "執行",
+    "species-tab-title": "各地點物種清單",
+    "species-tab-select-output-directory-button-label": "選擇輸出資料夾",
+    "species-tab-filename-textbox-label": "檔案名稱，若無指定，檔案將被命名為'species_list.txt'",
+    "species-tab-sort-radio-label": "排序",
+    "species-tab-sort-radio-info": "依照出現頻率或是學名的英文字母排序物種",
+    "species-tab-sort-radio-option-frequency": "出現頻率",
+    "species-tab-sort-radio-option-alphabetically": "英文字母",
+    "species-tab-finish-info": "儲存物種清單於",
+    "species-tab-start-button-label": "開始分析",
+    "settings-tab-title": "設定",
+    "settings-tab-language-dropdown-label": "GUI 語言",
+    "settings-tab-language-dropdown-info": "更改的設定會在重新啟動 GUI 後更新",
+    "settings-tab-error-log-textbox-label": "錯誤訊息記錄檔",
+    "settings-tab-error-log-textbox-info-path": "路徑",
+    "settings-tab-error-log-textbox-placeholder": "無內容",
+    "validation-no-file-selected": "請選擇檔案",
+    "validation-no-directory-selected": "請選擇資料夾",
+    "validation-no-species-list-selected": "請選擇物種清單",
+    "validation-no-custom-classifier-selected": "尚未選擇客製化分類器",
+    "validation-no-audio-files-found": "找無音檔",
+    "validation-no-training-data-selected": "請選擇訓練用資料",
+    "validation-no-directory-for-classifier-selected": "請選擇分類器路徑",
+    "validation-no-valid-classifier-name": "請輸入有效的分類器名稱",
+    "validation-no-valid-epoch-number": "請輸入有效的訓練期(eopch)數量",
+    "validation-no-valid-batch-size": "請輸入有效的批次量(在同一時間分析的音檔數量)",
+    "validation-no-valid-learning-rate": "請輸入有效的學習速率",
+    "validation-no-valid-frequency": "請輸入有效的頻率",
+    "validation-no-audio-directory-selected": "請提供包含音檔的資料夾",
+    "validation-no-negative-samples-in-binary-classification": "在只有兩個分類的模型訓練中不能使用負標籤",
+    "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", 
+    "progress-preparing": "準備中",
+    "progress-starting": "正在開始",
+    "progress-build-classifier": "載入資料中、建立分類器",
+    "progress-loading-data": "載入資料中",
+    "progress-saving": "儲存中",
+    "progress-training": "模型訓練中",
+    "progress-autotune": "自動調諧進行中",
+    "progress-search": "找尋檔案中",
+    "footer-help": "參考檔案以及尋求協助"
+}