diff --git a/lang/zh_TW.json b/lang/zh_TW.json new file mode 100644 index 00000000..d381f470 --- /dev/null +++ b/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" +} \ No newline at end of file