{"id":6593,"date":"2026-01-26T09:38:36","date_gmt":"2026-01-26T02:38:36","guid":{"rendered":"https:\/\/wincolaw.com.vn\/?p=6593"},"modified":"2026-01-26T09:38:36","modified_gmt":"2026-01-26T02:38:36","slug":"tai-sao-ai-van-can-chuyen-gia-ngon-ngu-loi-giai-tu-nhung-gioi-han-cua-cong-nghe-dich-thuat","status":"publish","type":"post","link":"https:\/\/wincolaw.com.vn\/vi\/tai-sao-ai-van-can-chuyen-gia-ngon-ngu-loi-giai-tu-nhung-gioi-han-cua-cong-nghe-dich-thuat.html","title":{"rendered":"T\u1ea1i sao AI v\u1eabn c\u1ea7n chuy\u00ean gia ng\u00f4n ng\u1eef: L\u1eddi gi\u1ea3i t\u1eeb nh\u1eefng gi\u1edbi h\u1ea1n c\u1ee7a c\u00f4ng ngh\u1ec7 d\u1ecbch thu\u1eadt"},"content":{"rendered":"
Ch\u00fang ta \u0111ang s\u1ed1ng trong k\u1ef7 nguy\u00ean m\u00e0 AI c\u00f3 th\u1ec3 vi\u1ebft lu\u1eadn v\u0103n, t\u1ea1o \u1ea3nh v\u00e0 d\u1ecbch thu\u1eadt h\u00e0ng tri\u1ec7u t\u1eeb ch\u1ec9 trong v\u00e0i gi\u00e2y.<\/div>\n
\n

\u00a0Tuy nhi\u00ean, b\u1ea5t ch\u1ea5p s\u1ef1 ph\u00e1t tri\u1ec3n c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef kh\u1ed5ng l\u1ed3, m\u1ed9t tr\u1ea3i nghi\u1ec7m d\u1edf kh\u00f3c d\u1edf c\u01b0\u1eddi v\u1eabn th\u01b0\u1eddng xuy\u00ean x\u1ea3y ra: M\u1ed9t c\u00e2u n\u00f3i \u0111\u1ea7y t\u00ecnh c\u1ea3m ho\u1eb7c m\u1ed9t thu\u1eadt ng\u1eef chuy\u00ean m\u00f4n tinh t\u1ebf, khi \u0111i qua b\u1ed9 l\u1ecdc c\u1ee7a m\u00e1y t\u00ednh, b\u1ed7ng tr\u1edf th\u00e0nh m\u1ed9t m\u1edb h\u1ed7n \u0111\u1ed9n v\u00f4 ngh\u0129a.<\/p>\n

S\u1ef1 c\u1ed1 n\u00e0y th\u01b0\u1eddng b\u1ecb \u0111\u1ed5 l\u1ed7i cho vi\u1ec7c v\u1ed1n t\u1eeb c\u1ee7a m\u00e1y t\u00ednh c\u00f2n h\u1ea1n h\u1eb9p. Nh\u01b0ng th\u1ef1c t\u1ebf, v\u1ea5n \u0111\u1ec1 n\u1eb1m \u1edf m\u1ed9t l\u1ed7 h\u1ed5ng trong logic c\u1ed1t l\u00f5i m\u00e0 AI v\u1eabn \u0111ang ch\u1eadt v\u1eadt kh\u1ecfa l\u1ea5p: Kh\u1ea3 n\u0103ng hi\u1ec3u c\u1ea5u tr\u00fac c\u01a1 b\u1ea3n c\u1ee7a ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean – \u0111\u1eb7c bi\u1ec7t l\u00e0 v\u1edbi nh\u1eefng ng\u00f4n ng\u1eef kh\u00f4ng c\u00f3 kho\u1ea3ng tr\u1eafng nh\u01b0 ti\u1ebfng Trung, ti\u1ebfng Nh\u1eadt.<\/p>\n

Kho\u1ea3ng tr\u1eafng – “D\u1ea5u v\u00e2n tay” b\u1ecb b\u1ecf qu\u00ean<\/strong><\/p>\n

N\u1ebfu b\u1ea1n \u0111\u1ecdc m\u1ed9t c\u00e2u ti\u1ebfng Anh nh\u01b0 “I love coding”, m\u00e1y t\u00ednh x\u1eed l\u00fd c\u1ef1c k\u1ef3 nh\u00e0n h\u1ea1 nh\u1edd c\u00e1c d\u1ea5u c\u00e1ch \u0111\u00f3ng vai tr\u00f2 nh\u01b0 nh\u1eefng bi\u1ec3n ch\u1ec9 d\u1eabn r\u00f5 r\u00e0ng. Trong khoa h\u1ecdc m\u00e1y t\u00ednh, \u0111\u00e2y \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 qu\u00e1 tr\u00ecnh Tokenization – b\u01b0\u1edbc \u0111\u1ea7u ti\u00ean v\u00e0 quan tr\u1ecdng nh\u1ea5t \u0111\u1ec3 m\u00e1y t\u00ednh ch\u1ea1m v\u00e0o ng\u00f4n ng\u1eef.<\/p>\n

Nh\u01b0ng h\u00e3y th\u1eed qu\u0103ng m\u1ed9t chu\u1ed7i k\u00fd t\u1ef1 ti\u1ebfng Trung v\u00e0o b\u1ed9 x\u1eed l\u00fd: “\u6211\u559c\u6b22\u5b66\u4e60\u8ba1\u7b97\u673a\u79d1\u5b66” (T\u00f4i th\u00edch h\u1ecdc khoa h\u1ecdc m\u00e1y t\u00ednh). V\u1edbi m\u00e1y t\u00ednh, \u0111\u00e2y ch\u1ec9 l\u00e0 m\u1ed9t d\u1ea3i l\u1ee5a d\u00e0i d\u1eb1ng d\u1eb7c c\u00e1c m\u00e3 Unicode kh\u00f4ng c\u00f3 \u0111i\u1ec3m d\u1eebng. Vi\u1ec7c \u0111\u1ea7u ti\u00ean m\u00e1y t\u00ednh ph\u1ea3i l\u00e0m l\u00e0 CWS (Chinese Word Segmentation) \u2014 t\u1ee9c l\u00e0 “ch\u1eb7t” chu\u1ed7i k\u00fd t\u1ef1 \u0111\u00f3 ra th\u00e0nh t\u1eebng kh\u00fac c\u00f3 ngh\u0129a.<\/p>\n

T\u1ea1i sao \u0111\u00e2y l\u1ea1i l\u00e0 m\u1ed9t c\u01a1n \u00e1c m\u1ed9ng? N\u1ebfu m\u00e1y t\u00ednh “ch\u1eb7t” sai d\u00f9 ch\u1ec9 m\u1ed9t v\u1ecb tr\u00ed, \u00fd ngh\u0129a s\u1ebd s\u1ee5p \u0111\u1ed5 theo hi\u1ec7u \u1ee9ng domino. B\u1ea1n c\u00f3 th\u1ec3 bi\u1ebfn m\u1ed9t “th\u00e0nh ph\u1ed1” th\u00e0nh m\u1ed9t “v\u1ecb th\u1ecb tr\u01b0\u1edfng”, bi\u1ebfn m\u1ed9t “tr\u01b0\u1eddng ti\u1ec3u h\u1ecdc” th\u00e0nh h\u00e0nh \u0111\u1ed9ng “h\u1ecdc t\u1eeb nh\u1ecf” ch\u1ec9 v\u00ec m\u1ed9t nh\u00e1t c\u1eaft l\u1ec7ch.<\/p>\n

\n

\"\"S\u1ef1 k\u1ebft n\u1ed1i gi\u1eefa c\u1ea5u tr\u00fac ng\u00f4n ng\u1eef c\u1ed5 \u0111i\u1ec3n v\u00e0 thu\u1eadt to\u00e1n hi\u1ec7n \u0111\u1ea1i l\u00e0 ch\u00eca kh\u00f3a c\u1ee7a NLP. \u1ea2nh: AI<\/p>\n<\/figcaption><\/figure>\n

\n
\n
Thu\u1eadt to\u00e1n “ng\u00e2y th\u01a1” v\u00e0 nh\u1eefng c\u00fa l\u1eeba kinh \u0111i\u1ec3n<\/strong><\/div>\n<\/div>\n<\/div>\n

\u0110\u1ec3 gi\u1ea3i quy\u1ebft b\u00e0i to\u00e1n t\u00e1ch t\u1eeb, nh\u1eefng k\u1ef9 s\u01b0 \u0111\u1ea7u ti\u00ean \u0111\u00e3 d\u00f9ng ph\u01b0\u01a1ng ph\u00e1p Maximum Matching (Kh\u1edbp t\u1ed1i \u0111a). Logic r\u1ea5t \u0111\u01a1n gi\u1ea3n: Qu\u00e9t t\u1eeb tr\u00e1i sang ph\u1ea3i, th\u1ea5y c\u1ee5m n\u00e0o d\u00e0i nh\u1ea5t c\u00f3 trong t\u1eeb \u0111i\u1ec3n th\u00ec “ch\u1eb7t” c\u1ee5m \u0111\u00f3 ra.<\/p>\n

Nh\u01b0ng trong ti\u1ebfng Trung, s\u1ef1 ng\u00e2y th\u01a1 n\u00e0y ch\u00ednh l\u00e0 k\u1ebd h\u1edf cho nh\u1eefng c\u00fa l\u1eeba kinh \u0111i\u1ec3n mang t\u00ean “nh\u1eadp nh\u1eb1ng giao thoa”. H\u00e3y xem x\u00e9t v\u00ed d\u1ee5: \u5357\u4eac\u5e02\u957f\u6c5f\u5927\u6865 (C\u1ea7u Tr\u01b0\u1eddng Giang \u1edf th\u00e0nh ph\u1ed1 Nam Kinh). N\u1ebfu thu\u1eadt to\u00e1n \u01b0u ti\u00ean t\u1eeb “th\u1ecb tr\u01b0\u1edfng” (\u5e02\u957f) tr\u01b0\u1edbc, n\u00f3 s\u1ebd c\u1eaft th\u00e0nh: Nam Kinh \/ Th\u1ecb tr\u01b0\u1edfng \/ Giang \u0110\u1ea1i Ki\u1ec1u. K\u1ebft qu\u1ea3: M\u1ed9t c\u00e2y c\u1ea7u h\u00f9ng v\u0129 b\u1ed7ng bi\u1ebfn th\u00e0nh m\u1ed9t v\u1ecb th\u1ecb tr\u01b0\u1edfng t\u00ean l\u00e0 Giang \u0110\u1ea1i Ki\u1ec1u.<\/p>\n

B\u01b0\u1edbc nh\u1ea3y v\u1ecdt t\u1eeb quy t\u1eafc sang x\u00e1c su\u1ea5t<\/strong><\/p>\n

T\u1ea1i sao AI hi\u1ec7n \u0111\u1ea1i nh\u01b0 GPT hay BERT \u00edt m\u1eafc l\u1ed7i n\u00e0y h\u01a1n? \u0110\u00f3 l\u00e0 v\u00ec ch\u00fang \u0111\u00e3 chuy\u1ec3n sang “t\u00ednh to\u00e1n x\u00e1c su\u1ea5t”. AI s\u1ebd t\u1ef1 h\u1ecfi: “Trong h\u00e0ng t\u1ef7 v\u0103n b\u1ea3n \u0111\u00e3 \u0111\u1ecdc, sau c\u1ee5m ‘th\u00e0nh ph\u1ed1 Nam Kinh’ th\u00ec th\u01b0\u1eddng l\u00e0 ‘c\u1ea7u Tr\u01b0\u1eddng Giang’ hay ‘\u00f4ng th\u1ecb tr\u01b0\u1edfng’?”. N\u00f3 s\u1eed d\u1ee5ng c\u00e1c kh\u00e1i ni\u1ec7m k\u1ef9 thu\u1eadt nh\u01b0 HMM ho\u1eb7c ki\u1ebfn tr\u00fac Transformer \u0111\u1ec3 t\u00ednh to\u00e1n r\u1eb1ng x\u00e1c su\u1ea5t ph\u01b0\u01a1ng \u00e1n “c\u00e2y c\u1ea7u” cao h\u01a1n.<\/p>\n

Tuy nhi\u00ean, AI v\u1eabn “b\u00f3 tay” tr\u01b0\u1edbc hi\u1ec7n t\u01b0\u1ee3ng “nh\u1eadp nh\u1eb1ng k\u1ebft h\u1ee3p”. V\u00ed d\u1ee5: \u4ece\u5c0f\u5b66\u7535\u8111<\/p>\n

C\u00e1ch A: T\u1eeb nh\u1ecf \/ h\u1ecdc \/ m\u00e1y t\u00ednh.<\/p>\n

C\u00e1ch B: T\u1eeb \/ tr\u01b0\u1eddng ti\u1ec3u h\u1ecdc \/ m\u00e1y t\u00ednh. C\u1ea3 hai \u0111\u1ec1u \u0111\u00fang v\u1ec1 m\u1eb7t c\u00fa ph\u00e1p! \u0110\u00e2y l\u00e0 l\u00fac AI c\u1ea7n nh\u1eadn th\u1ee9c ng\u1eef c\u1ea3nh. N\u1ebfu c\u00e2u tr\u01b0\u1edbc \u0111\u00f3 n\u00f3i v\u1ec1 “tu\u1ed5i th\u01a1”, C\u00e1ch A \u0111\u00fang. N\u1ebfu n\u00f3i v\u1ec1 “c\u01a1 s\u1edf v\u1eadt ch\u1ea5t”, C\u00e1ch B \u0111\u00fang.<\/p>\n

Khi m\u00e3 ngu\u1ed3n \u0111\u1ed1i m\u1eb7t v\u1edbi s\u1ef1 nh\u1eadp nh\u1eb1ng<\/strong><\/p>\n

\u0110\u1ec3 minh h\u1ecda, thu\u1eadt to\u00e1n Forward Maximum Matching (FMM) d\u01b0\u1edbi \u0111\u00e2y cho th\u1ea5y m\u00e1y t\u00ednh ho\u1ea1t \u0111\u1ed9ng d\u1ef1a tr\u00ean s\u1ef1 \u01b0u ti\u00ean c\u00f3 s\u1eb5n. Ch\u1ec9 c\u1ea7n thay \u0111\u1ed5i th\u1ee9 t\u1ef1 \u01b0u ti\u00ean trong t\u1eeb \u0111i\u1ec3n, \u201cs\u1ed1 ph\u1eadn” c\u1ee7a c\u00e2u v\u0103n s\u1ebd thay \u0111\u1ed5i ngay l\u1eadp t\u1ee9c.<\/p>\n

\"\"
\n

M\u00f4 ph\u1ecfng logic t\u00e1ch t\u1eeb c\u1ee7a thu\u1eadt to\u00e1n Maximum Matching tr\u01b0\u1edbc b\u00e0i to\u00e1n nh\u1eadp nh\u1eb1ng ng\u1eef ngh\u0129a.<\/p>\n<\/figcaption><\/figure>\n

 <\/p>\n

\u0110i\u1ec1u n\u00e0y \u0111\u1eb7t ra m\u1ed9t v\u1ea5n \u0111\u1ec1 l\u1edbn: AI m\u1ea1nh v\u1ec1 t\u1ed1c \u0111\u1ed9 qu\u00e9t, nh\u01b0ng l\u1ea1i mong manh tr\u01b0\u1edbc nh\u1eefng c\u1ea5u tr\u00fac \u0111\u00f2i h\u1ecfi s\u1ef1 ph\u00e2n t\u00edch t\u1ea7ng s\u00e2u.<\/p>\n

“Garbage In, Garbage Out” \u2013 T\u1ea1i sao AI v\u1eabn c\u1ea7n con ng\u01b0\u1eddi?<\/strong><\/p>\n

Trong k\u1ef7 nguy\u00ean d\u1eef li\u1ec7u l\u1edbn, c\u00f3 m\u1ed9t \u0111\u1ecbnh lu\u1eadt b\u1ea5t bi\u1ebfn: D\u1eef li\u1ec7u \u0111\u1ea7u v\u00e0o quy\u1ebft \u0111\u1ecbnh ch\u1ea5t l\u01b0\u1ee3ng \u0111\u1ea7u ra. AI kh\u00f4ng t\u1ef1 nhi\u00ean th\u00f4ng minh; n\u00f3 h\u1ecdc t\u1eeb c\u00e1c b\u1ed9 d\u1eef li\u1ec7u \u0111\u00e3 \u0111\u01b0\u1ee3c g\u00e1n nh\u00e3n b\u1edfi con ng\u01b0\u1eddi.<\/p>\n

\u0110\u00e2y ch\u00ednh l\u00e0 l\u00fac n\u1ea3y sinh m\u00e2u thu\u1eabn: Ch\u00fang ta qu\u00e1 ph\u1ee5 thu\u1ed9c v\u00e0o c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc s\u00e2u m\u00e0 qu\u00ean m\u1ea5t r\u1eb1ng, \u0111\u1ec3 c\u00f3 d\u1eef li\u1ec7u chu\u1ea9n, ch\u00fang ta c\u1ea7n s\u1ef1 th\u1ea9m \u0111\u1ecbnh c\u1ee7a chuy\u00ean gia ng\u00f4n ng\u1eef. M\u00e1y t\u00ednh c\u00f3 th\u1ec3 qu\u00e9t ch\u1eef, nh\u01b0ng con ng\u01b0\u1eddi m\u1edbi nh\u00ecn th\u1ea5y s\u1eafc th\u00e1i ng\u1eef c\u1ea3nh. Ch\u1eebng n\u00e0o m\u00e1y t\u00ednh ch\u01b0a hi\u1ec3u \u0111\u01b0\u1ee3c m\u1ec9a mai, kh\u1eb3ng \u0111\u1ecbnh, hay s\u1ef1 bi\u1ebfn \u0111\u1ed5i c\u1ee7a th\u00e0nh ng\u1eef, th\u00ec s\u1ef1 giao thoa gi\u1eefa chuy\u00ean gia ng\u00e0nh d\u1ecdc v\u00e0 k\u1ef9 s\u01b0 IT v\u1eabn l\u00e0 m\u1eaft x\u00edch kh\u00f4ng th\u1ec3 t\u00e1ch r\u1eddi. AI c\u1ea7n Domain Knowledge (Ki\u1ebfn th\u1ee9c mi\u1ec1n) \u0111\u1ec3 kh\u00f4ng tr\u1edf th\u00e0nh m\u1ed9t c\u1ed7 m\u00e1y v\u1eb9t.<\/p>\n

T\u1ea7m nh\u00ecn t\u01b0\u01a1ng lai: T\u1eeb d\u1ecbch thu\u1eadt \u0111\u1ebfn th\u1ea5u c\u1ea3m<\/strong><\/p>\n

Th\u00e1ch th\u1ee9c c\u1ee7a NLP (X\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean) trong t\u01b0\u01a1ng lai l\u00e0 NLU (Hi\u1ec3u ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean) \u2013 hi\u1ec3u \u0111\u01b0\u1ee3c \u00fd \u0111\u1ecbnh v\u00e0 c\u1ea3m x\u00fac con ng\u01b0\u1eddi. C\u00e1c xu h\u01b0\u1edbng nh\u01b0 NMT (D\u1ecbch m\u00e1y m\u1ea1ng n\u01a1-ron) \u0111ang c\u1ed1 g\u1eafng m\u00f4 ph\u1ecfng m\u1ea1ng th\u1ea7n kinh ng\u01b0\u1eddi \u0111\u1ec3 x\u1eed l\u00fd ng\u00f4n ng\u1eef. Tuy nhi\u00ean, ranh gi\u1edbi gi\u1eefa m\u1ed9t b\u1ea3n d\u1ecbch \u0111\u00fang v\u00e0 m\u1ed9t b\u1ea3n d\u1ecbch hay v\u1eabn l\u00e0 kho\u1ea3ng c\u00e1ch m\u00e0 thu\u1eadt to\u00e1n \u0111\u01a1n thu\u1ea7n kh\u00f3 l\u00f2ng kh\u1ecfa l\u1ea5p.<\/p>\n

S\u1ef1 giao thoa t\u1ea5t y\u1ebfu gi\u1eefa c\u00f4ng ngh\u1ec7 v\u00e0 nh\u00e2n v\u0103n<\/strong><\/p>\n

C\u00e2u chuy\u1ec7n v\u1ec1 kho\u1ea3ng tr\u1eafng trong ti\u1ebfng H\u00e1n kh\u00f4ng ch\u1ec9 l\u00e0 b\u00e0i to\u00e1n k\u1ef9 thu\u1eadt kh\u00f4 khan. N\u00f3 minh ch\u1ee9ng cho s\u1ef1 k\u1ef3 di\u1ec7u v\u00e0 ph\u1ee9c t\u1ea1p c\u1ee7a ng\u00f4n ng\u1eef. AI c\u00f3 th\u1ec3 s\u1edf h\u1eefu ki\u1ebfn th\u1ee9c c\u1ee7a nh\u00e2n lo\u1ea1i, nh\u01b0ng \u0111\u1ec3 v\u1eadn h\u00e0nh ki\u1ebfn th\u1ee9c \u0111\u00f3 m\u1ed9t c\u00e1ch tinh t\u1ebf, n\u00f3 v\u1eabn c\u1ea7n nh\u1eefng “nh\u00e0 \u0111i\u1ec1u ph\u1ed1i” c\u00f3 chuy\u00ean m\u00f4n s\u00e2u r\u1ed9ng t\u1eeb c\u00e1c ng\u00e0nh ngh\u1ec1 kh\u00e1c.<\/p>\n

T\u01b0\u01a1ng lai c\u1ee7a ng\u00e0nh c\u00f4ng ngh\u1ec7 s\u1ebd kh\u00f4ng ch\u1ec9 thu\u1ed9c v\u1ec1 nh\u1eefng ng\u01b0\u1eddi bi\u1ebft code, m\u00e0 thu\u1ed9c v\u1ec1 nh\u1eefng ng\u01b0\u1eddi c\u00f3 kh\u1ea3 n\u0103ng k\u1ebft n\u1ed1i logic c\u1ee7a m\u00e1y t\u00ednh v\u1edbi s\u1ef1 l\u1eaft l\u00e9o \u0111\u1ea7y th\u00fa v\u1ecb c\u1ee7a th\u1ebf gi\u1edbi th\u1ef1c.<\/p>\n

Ngu\u1ed3n sohuutritue.net.vn<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Ch\u00fang ta \u0111ang s\u1ed1ng trong k\u1ef7 nguy\u00ean m\u00e0 AI c\u00f3 th\u1ec3 vi\u1ebft lu\u1eadn v\u0103n, t\u1ea1o \u1ea3nh v\u00e0 d\u1ecbch thu\u1eadt h\u00e0ng tri\u1ec7u t\u1eeb ch\u1ec9 trong v\u00e0i gi\u00e2y. \u00a0Tuy nhi\u00ean, b\u1ea5t ch\u1ea5p s\u1ef1 ph\u00e1t tri\u1ec3n c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef kh\u1ed5ng l\u1ed3, m\u1ed9t tr\u1ea3i nghi\u1ec7m d\u1edf kh\u00f3c d\u1edf c\u01b0\u1eddi v\u1eabn th\u01b0\u1eddng xuy\u00ean x\u1ea3y ra: M\u1ed9t c\u00e2u […]<\/p>\n","protected":false},"author":1,"featured_media":6596,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[101,9],"tags":[],"yst_prominent_words":[],"class_list":["post-6593","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-so-huu-tri-tue","category-tin-tuc"],"_links":{"self":[{"href":"https:\/\/wincolaw.com.vn\/vi\/wp-json\/wp\/v2\/posts\/6593","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wincolaw.com.vn\/vi\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wincolaw.com.vn\/vi\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wincolaw.com.vn\/vi\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/wincolaw.com.vn\/vi\/wp-json\/wp\/v2\/comments?post=6593"}],"version-history":[{"count":1,"href":"https:\/\/wincolaw.com.vn\/vi\/wp-json\/wp\/v2\/posts\/6593\/revisions"}],"predecessor-version":[{"id":6598,"href":"https:\/\/wincolaw.com.vn\/vi\/wp-json\/wp\/v2\/posts\/6593\/revisions\/6598"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wincolaw.com.vn\/vi\/wp-json\/wp\/v2\/media\/6596"}],"wp:attachment":[{"href":"https:\/\/wincolaw.com.vn\/vi\/wp-json\/wp\/v2\/media?parent=6593"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wincolaw.com.vn\/vi\/wp-json\/wp\/v2\/categories?post=6593"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wincolaw.com.vn\/vi\/wp-json\/wp\/v2\/tags?post=6593"},{"taxonomy":"yst_prominent_words","embeddable":true,"href":"https:\/\/wincolaw.com.vn\/vi\/wp-json\/wp\/v2\/yst_prominent_words?post=6593"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}