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แ€กแ€Ÿแ€ถ
แ€„แ€ซแ€žแ€Šแ€บ
แ€›แ€แ€”แ€แ€นแ€แ€šแ€ถ
แ€›แ€แ€”แ€ฌแ€žแ€ฏแ€ถแ€ธแ€•แ€ซแ€ธแ€แ€ญแ€ฏแ€ทแ แ€กแ€•แ€ฑแ€ซแ€„แ€บแ€ธแ€€แ€ญแ€ฏ
แ€แ€”แ€นแ€’แ€ญแ€แ€ฝแ€ฌ
แ€›แ€พแ€ญแ€แ€ญแ€ฏแ€ธแ€•แ€ผแ€ฎแ€ธแ
แ€”แ€ฌแ€”แ€ฌแ€žแ€แ€นแ€แ€žแ€™แ€ฏแ€’แ€นแ€“แ€‹แ€ถ
แ€กแ€‘แ€ฐแ€ธแ€‘แ€ฐแ€ธแ€žแ€ฑแ€ฌแ€€แ€ปแ€™แ€บแ€ธแ€แ€ญแ€ฏแ€ทแ€™แ€พ แ€‘แ€ฏแ€แ€บแ€กแ€•แ€บแ€žแ€ฑแ€ฌ
แ€œแ€ฑแ€ฌแ€€แ€”แ€ฎแ€แ€ญแ€ถ
แ€œแ€ฑแ€ฌแ€€แ€”แ€ฎแ€แ€ญแ€กแ€™แ€Šแ€บแ€›แ€พแ€ญแ€žแ€ฑแ€ฌ แ€€แ€ปแ€™แ€บแ€ธแ€€แ€ญแ€ฏ
แ€™แ€ฌแ€‚แ€“แ€ฑแ€”แ€ฑแ€
แ€™แ€ฌแ€‚แ€“ แ€˜แ€ฌแ€žแ€ฌแ€–แ€ผแ€„แ€ทแ€บแ€žแ€ฌแ€œแ€ปแ€พแ€„แ€บ
แ€žแ€ถแ€แ€ฑแ€•แ€ถ
แ€žแ€ถแ€แ€ฑแ€•แ€ฑแ€” แ€กแ€€แ€ปแ€‰แ€บแ€ธแ€กแ€ฌแ€ธแ€–แ€ผแ€„แ€ทแ€บ
แ€•แ€แ€€แ€นแ€แ€ฌแ€™แ€ญ
แ€Ÿแ€ฑแ€ฌแ€•แ€ฑแ€œแ€แ€นแ€แ€ถแ€ท
แ€Ÿแ€ญ
แ€‚แ€ฏแ€แ€บแ€กแ€‘แ€ฐแ€ธแ€€แ€ฌแ€ธ
แ€”แ€ฎแ€แ€ญ
แ€”แ€ฎแ€แ€ญแ€€แ€ปแ€™แ€บแ€ธแ€žแ€Šแ€บ
แ€œแ€ฑแ€ฌแ€€แ€ฑ
แ€œแ€ฑแ€ฌแ€€แŒ
แ€•แ€ฏแ€›แ€ญแ€žแ€ฟ
แ€šแ€ฑแ€ฌแ€€แ€บแ€ปแ€ฌแ€ธแ
แ€žแ€ฌแ€›แ€ฑแ€ฌ
แ€กแ€”แ€พแ€…แ€บแ€œแ€Šแ€บแ€ธแ€™แ€Šแ€บแ
แ€™แ€ฌแ€แ€ฌแ€•แ€ญแ€แ€ฌ
แ€กแ€™แ€ญแ€กแ€–แ€œแ€Šแ€บแ€ธแ€™แ€Šแ€บแ
แ€กแ€ฌแ€…แ€›แ€ญแ€šแ€ฑแ€ฌแ€…
แ€†แ€›แ€ฌแ€œแ€Šแ€บแ€ธแ€™แ€Šแ€บแ
แ€™แ€ญแ€แ€นแ€แ€ฑแ€ฌแ€…
แ€กแ€†แ€ฝแ€ฑ แ€แ€„แ€บแ€•แ€ฝแ€”แ€บแ€ธแ€œแ€Šแ€บแ€ธแ€™แ€Šแ€บแ
แ€แ€žแ€นแ€™แ€ฌ
แ€‘แ€ญแ€ฏแ€ทแ€€แ€ผแ€ฑแ€ฌแ€„แ€ทแ€บ
แ€”แ€ฎแ€แ€ญแ€ถ
แ€”แ€ฎแ€แ€ญแ€€แ€ปแ€™แ€บแ€ธแ€€แ€ญแ€ฏ
แ€แ€ญแ€‡แ€Šแ€ฌ
แ€แ€แ€บแ€žแ€ฑแ€ฌ
แ€•แ€ฏแ€›แ€ญแ€žแ€ฑแ€ฌ
แ€šแ€ฑแ€ฌแ€€แ€บแ€ปแ€ฌแ€ธแ€žแ€Šแ€บ
แ€—แ€Ÿแ€ฏแ€ฟแ€ฏแ€แ€ฑแ€ฌ
แ€™แ€ปแ€ฌแ€ธแ€žแ€ฑแ€ฌแ€กแ€€แ€ผแ€ฌแ€ธ แ€กแ€™แ€ผแ€„แ€บแ€›แ€พแ€ญแ€žแ€ฑแ€ฌ
แ€™แ€Ÿแ€ฌ
แ€™แ€ผแ€แ€บแ€žแ€ฑแ€ฌ
แ€‰แ€ฌแ€แ€ฎ
แ€•แ€Šแ€ฌแ€›แ€พแ€ญแ€žแ€Šแ€บ
แ€Ÿแ€ฑแ€ฌแ€แ€ญ
แ€–แ€ผแ€…แ€บแ
แ€กแ€œแ€žแ€ฟ
แ€•แ€ปแ€„แ€บแ€ธแ€žแ€ฑแ€ฌแ€žแ€ฐแ€กแ€ฌแ€ธ
แ€€แ€ฏแ€แ€ฑแ€ฌแ€žแ€ญแ€•แ€นแ€•แ€ถ
แ€กแ€แ€แ€บแ€˜แ€šแ€บแ€™แ€พแ€ฌ แ€แ€แ€บแ€กแ€ถแ€ทแ€”แ€Šแ€บแ€ธ
แ€กแ€žแ€ญแ€•แ€นแ€•แ€ฟ
แ€กแ€แ€แ€บแ€™แ€›แ€พแ€ญแ€žแ€ฑแ€ฌ แ€žแ€ฐแ€กแ€ฌแ€ธ
แ€€แ€ฏแ€แ€ฑแ€ฌแ€“แ€”แ€ถ
แ€ฅแ€…แ€นแ€…แ€ฌ แ€กแ€˜แ€šแ€บแ€™แ€พแ€ฌ แ€›แ€กแ€ถแ€ทแ€”แ€Šแ€บแ€ธ
แ€กแ€“แ€”แ€ฟ
แ€ฅแ€…แ€นแ€…แ€ฌแ€™แ€›แ€พแ€ญแ€žแ€ฑแ€ฌแ€žแ€ฐแ€กแ€ฌแ€ธ
แ€€แ€ฏแ€แ€ฑแ€ฌแ€™แ€ญแ€แ€นแ€แ€ถ
แ€กแ€†แ€ฝแ€ฑแ€แ€„แ€บแ€•แ€ฝแ€”แ€บแ€ธ แ€กแ€˜แ€šแ€บแ€™แ€พแ€ฌ แ€›แ€กแ€ถแ€ทแ€”แ€Šแ€บแ€ธ
แ€กแ€™แ€ญแ€แ€นแ€แ€ฟ
แ€กแ€†แ€ฝแ€ฑแ€แ€„แ€บแ€•แ€ฝแ€”แ€บแ€ธ แ€™แ€›แ€พแ€ญแ€žแ€ฑแ€ฌแ€žแ€ฐแ€กแ€ฌแ€ธ
แ€€แ€ฏแ€แ€ฑแ€ฌแ€žแ€ฏแ€แ€ถ
แ€แ€ปแ€™แ€บแ€ธแ€žแ€ฌ แ€กแ€˜แ€šแ€บแ€™แ€พแ€ฌ แ€›แ€กแ€ถแ€ทแ€”แ€Šแ€บแ€ธ
แ€กแ€žแ€ฏแ€แ€ฟ
แ€แ€ปแ€™แ€บแ€ธแ€žแ€ฌแ€™แ€›แ€พแ€ญแ€žแ€ฑแ€ฌแ€žแ€ฐแ€กแ€ฌแ€ธ
แ€€แ€ฏแ€แ€ฑแ€ฌแ€•แ€ฏแ€Šแ€ถ
แ€€แ€ฑแ€ฌแ€„แ€บแ€ธแ€™แ€พแ€ฏ แ€กแ€˜แ€šแ€บแ€™แ€พแ€ฌ แ€•แ€ผแ€ฏแ€›แ€กแ€ถแ€ทแ€”แ€Šแ€บแ€ธ
แ€กแ€•แ€ฏแ€Šแ€ฟ
แ€€แ€ฑแ€ฌแ€„แ€บแ€ธแ€™แ€พแ€ฏ แ€™แ€›แ€พแ€ญแ€žแ€ฑแ€ฌแ€žแ€ฐแ€กแ€ฌแ€ธ
แ€€แ€ฏแ€แ€ฑแ€ฌแ€แ€›แ€ถ
แ€”แ€ญแ€—แ€นแ€—แ€ฌแ€”แ€บแ€€แ€ญแ€ฏ แ€กแ€˜แ€šแ€บแ€™แ€พแ€ฌ แ€›แ€”แ€ญแ€ฏแ€„แ€บแ€กแ€ถแ€ทแ€”แ€Šแ€บแ€ธ
แ€žแ€ญแ€•แ€นแ€•แ€ฌ
แ€กแ€แ€แ€บแ€”แ€พแ€„แ€ทแ€บ
แ€žแ€™แ€ถ
แ€แ€ฐแ€žแ€ฑแ€ฌ
แ€“แ€”แ€ถ
แ€ฅแ€…แ€นแ€…แ€ฌแ€žแ€Šแ€บ
แ€”แ€แ€นแ€‘แ€ญ
แ€™แ€›แ€พแ€ญ
แ€žแ€ญแ€•แ€นแ€•แ€ถ
แ€กแ€แ€แ€บแ€€แ€ญแ€ฏ
แ€…แ€ฑแ€ฌแ€›แ€ฌ
แ€แ€ญแ€ฏแ€ธแ€žแ€ฐแ€แ€ญแ€ฏแ€ทแ€žแ€Šแ€บ
แ€”แ€‚แ€แ€พแ€”แ€นแ€แ€ญ
แ€™แ€šแ€ฐแ€”แ€ญแ€ฏแ€„แ€บแ€€แ€ฏแ€”แ€บ
แ€ฃแ€“ แ€œแ€ฑแ€ฌแ€€แ€ฑ
แ€คแ€œแ€ฑแ€ฌแ€€แŒ
แ€žแ€ญแ€•แ€นแ€•แ€ถ
แ€กแ€แ€แ€บแ€žแ€Šแ€บแ€€แ€ฌแ€ธ
แ€™แ€ญแ€แ€นแ€แ€ถ
แ€กแ€†แ€ฝแ€ฑแ€แ€„แ€บแ€•แ€ฝแ€”แ€บแ€ธ แ€–แ€ผแ€…แ€บแ
แ€•แ€›แ€œแ€ฑแ€ฌแ€€แ€ฑ
แ€แ€™แ€œแ€ฝแ€”แ€บแ€˜แ€แŒ
แ€žแ€ฏแ€แ€ซแ€แ€Ÿแ€ถ
แ€แ€ปแ€™แ€บแ€ธแ€žแ€ฌแ€€แ€ญแ€ฏ แ€†แ€ฑแ€ฌแ€„แ€บแ€แ€แ€บแ
แ€žแ€ฏแ€แ€ถ
แ€กแ€€แ€ผแ€ฌแ€ธแ€กแ€™แ€ผแ€„แ€บแ€•แ€Šแ€ฌแ€€แ€ญแ€ฏ
แ€กแ€•แ€นแ€•แ€€แ€ถ (แ€กแ€•แ€นแ€•แ€€แ€ถแ€ฃแ€แ€ญ)
แ€™แ€•แ€ผแ€ฑแ€ฌแ€•แ€–แ€ฝแ€šแ€บ แ€กแ€”แ€Šแ€บแ€ธแ€„แ€šแ€บแ€Ÿแ€ฐแ
แ€”แ€ฌแ€แ€ญ แ€™แ€Šแ€ฑแ€šแ€ป
แ€™แ€‘แ€ฎแ€™แ€ฒแ€ทแ€™แ€ผแ€„แ€บ แ€™แ€กแ€ฑแ€ฌแ€€แ€บแ€™แ€ฑแ€ทแ€›แ€ฌ
แ€…แ€ญแ€แ€นแ€แ€ฑ
แ€™แ€ญแ€™แ€ญแ€…แ€ญแ€แ€บแ€‘แ€ฒแŒ
แ€”แ€ญแ€“แ€ฌแ€•แ€šแ€ฑ
แ€€แ€ฑแ€ฌแ€„แ€บแ€ธแ€…แ€ฝแ€ฌ แ€žแ€„แ€บแ€€แ€ผแ€ฌแ€ธ แ€žแ€ฝแ€„แ€บแ€ธแ€‘แ€ฌแ€ธแ€›แ€ฌแ€œแ€ปแ€พแ€„แ€บ แ€žแ€แ€Šแ€บแ€ธ
แ€แ€ญแ€™แ€นแ€™แ€ญ แ€€แ€ฑแ€ฌแ€’แ€€ แ€—แ€ญแ€”แ€นแ€’แ€ฐแ€
แ€™แ€ผแ€ฑแ€€แ€ญแ€ฏแ€œแ€ฑแ€ฌแ€„แ€บแ€ธแ€–แ€ญแ€ฏแ€ท แ€แ€ผแ€แ€ฑแ€ฌแ€„แ€บแ€•แ€ญแ€ฏแ€ทแ€”แ€พแ€„แ€ทแ€บ แ€”แ€พแ€ญแ€ฏแ€„แ€บแ€ธแ€…แ€ญแ€ฏแ€ทแ€แ€…แ€บแ€–แ€ผแ€ฌ แ€€แ€ผแ€ฌแ€›แ€พแ€Šแ€บแ€†แ€„แ€บแ€ธแ€œแ€ปแ€พแ€ฑแ€ฌแ€€แ€บ แ€™แ€ญแ€ฏแ€ธแ€›แ€ฑแ€•แ€ฑแ€ซแ€€แ€บแ€€แ€ฒแ€ทแ€žแ€ญแ€ฏแ€ท
แ€…แ€ญแ€›แ€ฑแ€”
แ€€แ€ผแ€ญแ€™แ€บแ€–แ€”แ€บแ€™แ€ปแ€ฌแ€ธแ€…แ€ฝแ€ฌ แ€›แ€พแ€Šแ€บแ€€แ€ผแ€ฌแ€žแ€–แ€ผแ€„แ€ทแ€บ
แ€•แ€›แ€ญแ€•แ€ฐแ€›แ€แ€ญ
แ€•แ€ผแ€Šแ€ทแ€บแ€œแ€ฑแ
แ€แ€ญแ€‡แ€นแ€‡แ€ถ แ€แ€ซ
แ€”แ€พแ€ฏแ€แ€บแ€™แ€พแ€ฏแ€•แ€Šแ€ฌแ€€แ€ญแ€ฏแ€œแ€Šแ€บแ€ธแ€€แ€ฑแ€ฌแ€„แ€บแ€ธ
แ€กแ€‘
แ€‘แ€ญแ€ฏแ€™แ€ผแ€ญแ€ฏแ€ท (แ€‘แ€ญแ€ฏแ€™แ€พแ€แ€•แ€ซแ€ธ) แ€žแ€ญแ€•แ€นแ€•แ€ถ แ€แ€ซ แ€œแ€€แ€บแ€™แ€พแ€ฏแ€•แ€Šแ€ฌแ€€แ€ญแ€ฏแ€œแ€Šแ€บแ€ธแ€€แ€ฑแ€ฌแ€„แ€บแ€ธ
แ€แ€ฏแ€’แ€นแ€’แ€”แ€นแ€แ€ญ
แ€„แ€šแ€บแแ€Ÿแ€ฐแ
แ€”แ€ฌแ€แ€ญ แ€™แ€Šแ€ฑแ€šแ€ป
แ€™แ€กแ€ฑแ€ฌแ€€แ€บแ€™แ€ฑแ€ทแ€›แ€ฌ
แ€•แ€›แ€ญแ€šแ€ฑแ€ฌแ€’แ€ซแ€แ€ถ
แ€€แ€ฏแ€”แ€บแ€…แ€„แ€บแ€กแ€ฑแ€ฌแ€„แ€บแ€แ€แ€บแ€™แ€ฐแ€€แ€ฌแ€ธ
แ€งแ€€แ€™แ€นแ€•แ€ญ
แ€แ€แ€ฏแ€žแ€ฑแ€ฌ แ€กแ€แ€แ€บแ€žแ€Šแ€บแ€œแ€Šแ€บแ€ธ
แ€‡แ€ฎแ€แ€ญแ€ แ€€แ€•แ€นแ€•แ€€แ€ฌแ€›แ€แ€ถ
แ€กแ€žแ€€แ€บแ€™แ€ฝแ€ฑแ€ธแ€แ€™แ€บแ€ธแ€€แ€ปแ€ฑแ€ฌแ€„แ€บแ€ธ แ€–แ€ผแ€…แ€บแ€•แ€ซแ€žแ€แ€Šแ€บแ€ธ
แ€žแ€ฑแ€œแ€ฑ แ€žแ€ฑแ€œแ€ฑ
แ€แ€ฑแ€ฌแ€„แ€บแ€แ€ฑแ€ฌแ€„แ€บ แ€Ÿแ€ฐแ€žแ€™แ€ปแ€พแŒ (แ€แ€ฑแ€ฌแ€„แ€บแ€แ€ญแ€ฏแ€„แ€บแ€ธ แ€แ€ฑแ€ฌแ€„แ€บแ€แ€ญแ€ฏแ€„แ€บแ€ธแ€™แ€พแ€ฌ) แ€” แ€™แ€แ€ญแ€€แ€นแ€€แ€ถ แ€•แ€แ€นแ€แ€™แ€ผแ€ฌแ€ธแ€™แ€›แ€พแ€ญ
แ€‚แ€‡แ€ฑ แ€‚แ€‡แ€ฑ
แ€†แ€„แ€บแ€†แ€„แ€บ แ€Ÿแ€ฐแ€žแ€™แ€ปแ€พแŒ
แ€” แ€™แ€ฏแ€แ€นแ€แ€ญแ€€แ€ถ
แ€กแ€™แ€ผแ€ฏแ€แ€ฑแ€™แ€›แ€พแ€ญ
แ€แ€”แ€ฑ แ€แ€”แ€ฑ
แ€แ€ฑแ€ฌแ€แ€ฑแ€ฌ แ€Ÿแ€ฐแ€žแ€™แ€ปแ€พแŒ
แ€” แ€…แ€”แ€นแ€’แ€”แ€ถ
แ€…แ€”แ€นแ€’แ€€แ€ฐแ€ธแ€™แ€›แ€พแ€ญ
แ€Œแ€ฌแ€”แ€ฑ แ€Œแ€ฌแ€”แ€ฑ
แ€กแ€›แ€•แ€บแ€แ€ญแ€ฏแ€„แ€บแ€ธแŒ
แ€” แ€•แ€แ€นแ€แ€ญแ€แ€ถ
แ€•แ€Šแ€ฌแ€›แ€พแ€ญแ€žแ€ฏแ€แ€™แ€ญแ€”แ€บ แ€™แ€›แ€พแ€ญ
แ€žแ€ฏแ€แ€žแ€™แ€นแ€•แ€”แ€นแ€”แ€ฑแ€ฌ
แ€žแ€ฏแ€แ€”แ€พแ€„แ€ทแ€บแ€•แ€ผแ€Šแ€ทแ€บแ€…แ€ฏแ€ถแ€žแ€ฑแ€ฌ
แ€•แ€แ€นแ€แ€ญแ€แ€ฑแ€ฌ
แ€•แ€Šแ€ฌแ€›แ€พแ€ญแ€žแ€Šแ€บ
แ€šแ€แ€นแ€‘
แ€กแ€€แ€ผแ€„แ€บแ€กแ€›แ€•แ€บแŒ
แ€กแ€แ€นแ€‘แ€ฎแ€แ€ญ
แ€›แ€พแ€ญแ แ€Ÿแ€ฐแ
แ€…แ€ฑแ€žแ€ฏแ€แ€ฑแ€ฌ
แ€กแ€€แ€šแ€บแ แ€€แ€ผแ€ฌแ€ธแ€„แ€ผแ€ฌแ€ธแ€กแ€ถแ€ท
แ€แ€ถแ€Œแ€ฌแ€”แ€ถ
แ€‘แ€ญแ€ฏแ€กแ€›แ€•แ€บแ€žแ€ญแ€ฏแ€ท
แ€žแ€ฏแ€แ€ฑแ€žแ€ญแ€”แ€ฌ
แ€žแ€ฏแ€แ€€แ€ญแ€ฏ แ€›แ€พแ€ฌแ€žแ€ฑแ€ฌ แ€กแ€™แ€ปแ€ญแ€ฏแ€ธแ€€แ€ฑแ€ฌแ€„แ€บแ€ธแ€žแ€ฌแ€ธแ€žแ€Šแ€บ
แ€™แ€Ÿแ€ฌแ€ฟแ€Ÿแ€ฑแ€”
แ€žแ€Šแ€บแ€ธแ€…แ€ฝแ€ฌแ€กแ€ฌแ€ธแ€‘แ€ฏแ€แ€บแ€žแ€–แ€ผแ€„แ€ทแ€บ
แ€‚แ€”แ€นแ€แ€—แ€นแ€—แ€ถแ€
แ€žแ€ฝแ€ฌแ€ธแ€›แ€ฌแ€žแ€œแ€ปแ€พแ€„แ€บ แ€€แ€แ€Šแ€บแ€ธ
แ€žแ€ญแ€”แ€ฑ
แ€–แ€ผแ€Šแ€บแ€ธแ€–แ€ผแ€Šแ€บแ€ธแ€žแ€„แ€บแ€›แ€ฌแ
แ€“แ€”แ€ถ
แ€ฅแ€…แ€นแ€…แ€ฌแ€€แ€ญแ€ฏ
แ€žแ€ญแ€”แ€ฑ
แ€–แ€ผแ€Šแ€บแ€ธแ€–แ€ผแ€Šแ€บแ€ธแ€›แ€พแ€ฌแ€›แ€ฌแ
แ€•แ€—แ€นแ€—แ€แ€ถ
แ€แ€ฑแ€ฌแ€„แ€บแ€€แ€ญแ€ฏ
แ€กแ€ฌแ€›แ€ฏแ€Ÿแ€ถ
แ€กแ€ฌแ€›แ€ฏแ€Ÿแ€”แ€นแ€แ€ฑแ€ฌ แ€แ€€แ€บแ€žแ€ฑแ€ฌแ€žแ€ฐแ€žแ€Šแ€บ
แ€žแ€ญแ€”แ€ฑ
แ€–แ€ผแ€Šแ€บแ€ธแ€–แ€ผแ€Šแ€บแ€ธแ€แ€€แ€บแ€›แ€ฌแ
แ€€แ€ฌแ€™แ€ฟ
แ€€แ€ฌแ€™แ€‚แ€ฏแ€แ€บแ€€แ€ญแ€ฏ
แ€žแ€ญแ€”แ€ฑ
แ€–แ€ผแ€Šแ€บแ€ธแ€–แ€ผแ€Šแ€บแ€ธ แ€แ€…แ€บแ€…แ€แ€…แ€บแ€… แ€žแ€ฌแ€œแ€ปแ€พแ€„แ€บ แ€กแ€œแ€ญแ€ฏแ€›แ€พแ€ญแ€›แ€ฌแ
แ€€แ€ฑแ€ฌแ€“แ€ฟ
แ€กแ€™แ€ปแ€€แ€บแ€€แ€ญแ€ฏ
แ€žแ€ญแ€”แ€ฑ
แ€–แ€ผแ€Šแ€บแ€ธแ€–แ€ผแ€Šแ€บแ€ธแ€‘แ€ฝแ€€แ€บแ€›แ€ฌแ
แ€ฃแ€™แ€ฑแ€•แ€‰แ€นแ€…
แ€คแ€„แ€ซแ€ธแ€•แ€ซแ€ธแ€แ€ญแ€ฏแ€ทแ€€แ€ญแ€ฏ
แ€žแ€ญแ€”แ€ฑ แ€žแ€ญแ€”แ€ฑ
แ€–แ€ผแ€Šแ€บแ€ธแ€–แ€ผแ€Šแ€บแ€ธ แ€แ€…แ€บแ€…แ€แ€…แ€บแ€…แ€žแ€ฌ แ€กแ€œแ€ญแ€ฏแ€›แ€พแ€ญแ€›แ€ฌแ
แ€žแ€ฏแ€แ€ญแ€…
แ€กแ€€แ€ผแ€ฌแ€ธแ€กแ€™แ€ผแ€„แ€บ แ€กแ€แ€แ€บแ€œแ€Šแ€บแ€ธแ€€แ€ฑแ€ฌแ€„แ€บแ€ธ
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Lokaniti Pali-Burmese Vocabulary Pairs

๐Ÿ“– About the Dataset

This dataset provides a clean, deduplicated collection of Pali and Burmese word/phrase pairs extracted directly from the Nissaya breakdowns of the Lokaniti text. It is designed to support lexicography, alignment tasks, and machine translation experiments involving classical Pali and Burmese languages.

  • Total Unique Pairs: 1,640
  • Data Integrity: 0 null values.

๐Ÿ‘ค Who Created

This dataset and its processing pipeline were independently created, curated, and maintained by Khant Sint Heinn (Kalix Louis).

๐Ÿ—‚๏ธ Dataset Structure

Each entry in the .jsonl file contains a direct word-to-word or phrase-to-phrase mapping with all punctuation removed:

{
  "pali": "แ€กแ€Ÿแ€ถ",
  "burmese": "แ€„แ€ซแ€žแ€Šแ€บ"
}

๐Ÿ› ๏ธ How It Was Created

The vocabulary pairs were automatically extracted and refined from the primary text via a processing script:

  1. Parsing the traditional Burmese Nissaya commentary lines.
  2. Isolating corresponding Pali tokens and Burmese gloss meanings.
  3. Stripping all punctuation marks (แŠ, แ‹, -, etc.) to create clean lexical pairs.
  4. Filtering out duplicate entries to ensure high dataset uniqueness.

The source code and data pipeline scripts are publicly available here:

๐Ÿ‘‰ Lokaniti Dataset Pipeline GitHub Repository

๐Ÿ”— Related Datasets

๐Ÿ“ License & Citation

This dataset is open-source and released under the Creative Commons Attribution 4.0 International (CC-BY-4.0) license.

If you use this dataset, please cite it as:

@dataset{lokaniti_vocab_2026,
  author = {{Khant Sint Heinn}},
  title = {Lokaniti Pali-Burmese Vocabulary Pairs},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/kalixlouiis/lokaniti-vocabulary-pairs}
}

๐Ÿ‘ค About the Author

Khant Sint Heinn (แ€แ€”แ€ทแ€บแ€†แ€„แ€บแ€Ÿแ€ญแ€แ€บแ€ธ) | A.k.a. Kalix Louis
Founder & Lead AI Scientist @ DatarrX Foundation

I am a Machine Learning Engineer based in Myanmar, focused on Natural Language Processing (NLP) and Data-Centric AI. My work centers on building robust data foundations for low-resource languages, specifically Burmese (Myanmar)โ€”by creating high-quality datasets, custom tokenizers, and specialized linguistic tools to democratize AI innovation.

Through open-source initiatives at DatarrX, I develop scalable data pipelines and computational resourcesโ€”spanning contemporary Burmese corpora to specialized linguistic datasets, to provide reliable building blocks for next-generation language models and computational linguistics.

If you find this project useful or are interested in collaborating on Burmese NLP, LLM evaluation, or low-resource language research, feel free to reach out, open an issue, or contribute!

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