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Realign translations mis-matching the standard transcription
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72 changes: 58 additions & 14 deletions 2016/3d-transformations/hindi/sentence_translations.json

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100 changes: 58 additions & 42 deletions 2016/3d-transformations/indonesian/sentence_translations.json
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{
"input": "Hey folks, I've got a relatively quick video for you today, just sort of a footnote between chapters.",
"translatedText": "Hai teman-teman, saya punya video singkat untuk Anda hari ini, hanya semacam catatan kaki antar bab.",
"model": "google_nmt",
"model": "DeepL",
"n_reviews": 0,
"start": 13.46,
"end": 18.52
},
{
"input": "In the last two videos I talked about linear transformations and matrices, but I only showed the specific case of transformations that take two-dimensional vectors to other two-dimensional vectors.",
"translatedText": "Pada dua video terakhir saya membahas tentang transformasi linier dan matriks, namun saya hanya menunjukkan kasus spesifik transformasi yang mengubah vektor dua dimensi ke vektor dua dimensi lainnya.",
"model": "google_nmt",
"model": "DeepL",
"n_reviews": 0,
"start": 19.06,
"end": 28.38
},
{
"input": "The general throughout this series will work mainly in two dimensions, mostly because it's easier to actually see on the screen and wrap your mind around.",
"translatedText": "Secara umum, seri ini akan bekerja terutama dalam dua dimensi, terutama karena lebih mudah untuk benar-benar melihat di layar dan membungkus pikiran Anda.",
"model": "google_nmt",
"input": "In general throughout the series we'll work mainly in two dimensions, mostly because it's easier to actually see on the screen and wrap your mind around.",
"translatedText": "Secara umum, di seluruh seri ini, kami akan bekerja terutama dalam dua dimensi, sebagian besar karena lebih mudah untuk melihat di layar dan membungkus pikiran Anda.",
"model": "DeepL",
"n_reviews": 0,
"start": 28.92,
"end": 36.06
},
{
"input": "But more importantly than that, once you get all the core ideas in two dimensions, they carry over pretty seamlessly to higher dimensions.",
"translatedText": "Namun yang lebih penting dari itu, setelah Anda mendapatkan semua ide inti dalam dua dimensi, ide-ide tersebut akan terbawa dengan mulus ke dimensi yang lebih tinggi.",
"model": "google_nmt",
"model": "DeepL",
"n_reviews": 0,
"start": 36.5,
"end": 42.8
},
{
"input": "Nevertheless, it's good to peek our heads outside of flatland now and then to, you know, see what it means to apply these ideas in more than just those two dimensions.",
"translatedText": "Namun demikian, ada baiknya kita sesekali mengintip ke luar dataran datar untuk, Anda tahu, melihat apa artinya menerapkan ide-ide ini lebih dari sekadar dua dimensi tersebut.",
"model": "google_nmt",
"model": "DeepL",
"n_reviews": 0,
"start": 43.8,
"end": 51.0
},
{
"input": "For example, consider a linear transformation with three-dimensional vectors as inputs and three-dimensional vectors as outputs.",
"translatedText": "Misalnya, pertimbangkan transformasi linier dengan vektor tiga dimensi sebagai masukan dan vektor tiga dimensi sebagai keluaran.",
"model": "google_nmt",
"model": "DeepL",
"n_reviews": 0,
"start": 52.34,
"end": 58.88
},
{
"input": "We can visualize this by smooshing around all the points in three-dimensional space, as represented by a grid, in such a way that keeps the grid lines parallel and evenly spaced, and which fixes the origin in place.",
"translatedText": "Kita dapat memvisualisasikannya dengan menghaluskan semua titik dalam ruang tiga dimensi, seperti yang diwakili oleh sebuah grid, sedemikian rupa sehingga membuat garis-garis grid tetap paralel dan berjarak sama, dan yang menetapkan titik asal pada tempatnya.",
"model": "google_nmt",
"model": "DeepL",
"n_reviews": 0,
"start": 60.16,
"end": 72.52
},
{
"input": "And just as with two dimensions, every point of space that we see moving around is really just a proxy for a vector who has its tip at that point, and what we're really doing is thinking about input vectors moving over to their corresponding outputs.",
"translatedText": "Dan sama halnya dengan dua dimensi, setiap titik dalam ruang yang kita lihat bergerak sebenarnya hanyalah proksi dari sebuah vektor yang ujungnya berada pada titik tersebut, dan yang sebenarnya kita lakukan adalah memikirkan tentang vektor-vektor masukan yang berpindah ke keluarannya yang bersesuaian.",
"model": "google_nmt",
"model": "DeepL",
"n_reviews": 0,
"start": 73.46,
"end": 87.16
},
{
"input": "And just as with two dimensions, one of these transformations is completely described by where the basis vectors go.",
"translatedText": "Dan seperti halnya dua dimensi, salah satu transformasi ini sepenuhnya dijelaskan oleh ke mana perginya vektor basis.",
"model": "google_nmt",
"model": "DeepL",
"n_reviews": 0,
"start": 87.9,
"end": 93.56
},
{
"input": "But now, there are three standard basis vectors that we typically use, the unit vector in the x direction, i-hat, the unit vector in the y direction, j-hat, and a new guy, the unit vector in the z direction, called k-hat.",
"translatedText": "Namun sekarang, ada tiga vektor basis standar yang biasa kita gunakan, yaitu vektor satuan pada arah x, i-hat, vektor satuan pada arah y, j-hat, dan new guy, vektor satuan pada arah z. , disebut k-hat.",
"model": "google_nmt",
"input": "But now, there are three standard basis vectors that we typically use.",
"translatedText": "Tetapi sekarang, ada tiga vektor dasar standar yang biasanya kita gunakan.",
"model": "DeepL",
"n_reviews": 0,
"start": 94.16,
"end": 97.68
},
{
"input": "The unit vector in the x direction, i-hat, the unit vector in the y direction, j-hat, and a new guy, the unit vector in the z direction, called k-hat.",
"translatedText": "Vektor satuan pada arah x, topi-i, vektor satuan pada arah y, topi-j, dan satu lagi, vektor satuan pada arah z, disebut topi-k.",
"model": "DeepL",
"n_reviews": 0,
"start": 98.0,
"end": 106.56
},
{
"input": "In fact, I think it's easier to think about these transformations by only following those basis vectors, since the full 3D grid representing all points can get kind of messy.",
"translatedText": "Faktanya, menurut saya lebih mudah untuk memikirkan transformasi ini hanya dengan mengikuti vektor basis tersebut, karena grid 3D penuh yang mewakili semua titik bisa menjadi agak berantakan.",
"model": "google_nmt",
"model": "DeepL",
"n_reviews": 0,
"start": 107.14,
"end": 116.02
},
{
"input": "By leaving a copy of the original axes in the background, we can think about the coordinates of where each of these three basis vectors lands.",
"translatedText": "Dengan meninggalkan salinan sumbu asli di latar belakang, kita dapat memikirkan koordinat lokasi ketiga vektor basis ini.",
"model": "google_nmt",
"model": "DeepL",
"n_reviews": 0,
"start": 116.92,
"end": 124.0
},
{
"input": "Record the coordinates of these three vectors as the columns of a 3x3 matrix.",
"translatedText": "Catat koordinat ketiga vektor tersebut sebagai kolom matriks 3x3.",
"model": "google_nmt",
"model": "DeepL",
"n_reviews": 0,
"start": 125.82,
"end": 130.46
},
{
"input": "This gives a matrix that completely describes the transformation using only nine numbers.",
"translatedText": "Ini menghasilkan matriks yang menggambarkan transformasi secara lengkap hanya dengan menggunakan sembilan angka.",
"model": "google_nmt",
"model": "DeepL",
"n_reviews": 0,
"start": 131.26,
"end": 136.16
},
{
"input": "As a simple example, consider the transformation that rotates space 90 degrees around the y axis.",
"translatedText": "Sebagai contoh sederhana, perhatikan transformasi yang memutar ruang sebesar 90 derajat pada sumbu y.",
"model": "google_nmt",
"input": "As a simple example, consider the transformation that rotates space 90 degrees around the y-axis.",
"translatedText": "Sebagai contoh sederhana, pertimbangkan transformasi yang memutar ruang 90 derajat di sekitar sumbu y.",
"model": "DeepL",
"n_reviews": 0,
"start": 137.2,
"end": 143.96
},
{
"input": "So that would mean that it takes i-hat to the coordinates 0, 0, negative 1 on the z axis.",
"translatedText": "Artinya dibutuhkan i-hat ke koordinat 0, 0, negatif 1 pada sumbu z.",
"model": "google_nmt",
"input": "So that would mean that it takes i-hat to the coordinates 0,0, negative 1 on the z-axis.",
"translatedText": "Jadi, ini berarti dibutuhkan topi ke-i ke koordinat 0,0, negatif 1 pada sumbu z.",
"model": "DeepL",
"n_reviews": 0,
"start": 144.86,
"end": 150.1
},
{
"input": "It doesn't move j-hat, so it stays at the coordinates 0, 1, 0.",
"translatedText": "Ia tidak menggerakkan j-hat, sehingga tetap pada koordinat 0, 1, 0.",
"model": "google_nmt",
"input": "It doesn't move j-hat, so it stays at the coordinates 0,1,0.",
"translatedText": "Topi j tidak bergerak, jadi tetap berada di koordinat 0,1,0.",
"model": "DeepL",
"n_reviews": 0,
"start": 150.82,
"end": 154.28
},
{
"input": "And then k-hat moves over to the x axis at 1, 0, 0.",
"translatedText": "Dan kemudian k-hat berpindah ke sumbu x di 1, 0, 0.",
"model": "google_nmt",
"input": "And then k-hat moves over to the x-axis at 1,0,0.",
"translatedText": "Dan kemudian k-hat bergerak ke sumbu x pada 1,0,0.",
"model": "DeepL",
"n_reviews": 0,
"start": 154.88,
"end": 158.84
},
{
"input": "Those three sets of coordinates become the columns of a matrix that describes that rotation transformation. To see where a vector with coordinates x,y,z lands, the reasoning is almost identical to what it was for two dimensions.",
"translatedText": "Ketiga himpunan koordinat tersebut menjadi kolom-kolom matriks yang menggambarkan rotasi tersebut. Untuk melihat di mana sebuah vektor dengan koordinat x, y, z mendarat, alasannya hampir sama dengan dua dimensi.",
"model": "google_nmt",
"input": "Those three sets of coordinates become the columns of a matrix that describes that rotation transformation.",
"translatedText": "Ketiga set koordinat tersebut menjadi kolom-kolom matriks yang menggambarkan transformasi rotasi tersebut.",
"model": "DeepL",
"n_reviews": 0,
"start": 160.99,
"end": 166.76
},
{
"input": "To see where a vector with coordinates x,y,z lands, the reasoning is almost identical to what it was for two dimensions.",
"translatedText": "Untuk melihat di mana vektor dengan koordinat x,y,z mendarat, alasannya hampir sama dengan alasan untuk dua dimensi.",
"model": "DeepL",
"n_reviews": 0,
"start": 169.76,
"end": 176.22
},
{
"input": "Each of those coordinates can be thought of as instructions for how to scale each basis vector so that they add together to get your vector.",
"translatedText": "Masing-masing koordinat tersebut dapat dianggap sebagai petunjuk tentang cara menskalakan setiap vektor basis sehingga keduanya dapat dijumlahkan untuk mendapatkan vektor Anda.",
"model": "google_nmt",
"model": "DeepL",
"n_reviews": 0,
"start": 176.94,
"end": 184.04
},
{
"input": "And the important part, just like the 2D case, is that this scaling and adding process works both before and after the transformation.",
"translatedText": "Dan bagian pentingnya, seperti kasus 2D, adalah proses penskalaan dan penambahan ini berfungsi sebelum dan sesudah transformasi.",
"model": "google_nmt",
"model": "DeepL",
"n_reviews": 0,
"start": 186.26,
"end": 194.0
},
{
"input": "So to see where your vector lands, you multiply those coordinates by the corresponding columns of the matrix, and then you add together the three results.",
"translatedText": "Jadi untuk melihat di mana letak vektor Anda, kalikan koordinat tersebut dengan kolom matriks yang sesuai, lalu jumlahkan ketiga hasilnya.",
"model": "google_nmt",
"model": "DeepL",
"n_reviews": 0,
"start": 196.38,
"end": 204.82
},
{
"input": "Multiplying two matrices is also similar.",
"translatedText": "Mengalikan dua matriks juga serupa.",
"model": "google_nmt",
"model": "DeepL",
"n_reviews": 0,
"start": 209.6,
"end": 211.5
},
{
"input": "Whenever you see two 3x3 matrices getting multiplied together, you should imagine first applying the transformation encoded by the right one, then applying the transformation encoded by the left one.",
"translatedText": "Setiap kali Anda melihat dua matriks 3x3 dikalikan, Anda harus membayangkan terlebih dahulu menerapkan transformasi yang dikodekan oleh matriks kanan, kemudian menerapkan transformasi yang dikodekan oleh matriks kiri.",
"model": "google_nmt",
"model": "DeepL",
"n_reviews": 0,
"start": 212.02,
"end": 223.26
},
{
"input": "It turns out that 3D matrix multiplication is actually pretty important for fields like computer graphics and robotics, since things like rotations and three dimensions can be pretty hard to describe, but they're easier to wrap your mind around if you can break them down as the composition of separate, easier-to-think-about rotations.",
"translatedText": "Ternyata perkalian matriks 3D sebenarnya cukup penting untuk bidang-bidang seperti grafik komputer dan robotika, karena hal-hal seperti rotasi dan tiga dimensi bisa jadi sangat sulit untuk dijelaskan, namun akan lebih mudah untuk dipahami jika Anda dapat memecahnya sebagai komposisi rotasi yang terpisah dan lebih mudah dipikirkan.",
"model": "google_nmt",
"model": "DeepL",
"n_reviews": 0,
"start": 224.06,
"end": 241.16
},
{
"input": "Performing this matrix multiplication numerically is, once again, pretty similar to the two-dimensional case.",
"translatedText": "Melakukan perkalian matriks secara numerik, sekali lagi, sangat mirip dengan kasus dua dimensi.",
"model": "google_nmt",
"model": "DeepL",
"n_reviews": 0,
"start": 244.36,
"end": 249.86
},
{
"input": "In fact, a good way to test your understanding of the last video would be to try to reason through what specifically this matrix multiplication should look like, thinking closely about how it relates to the idea of applying two successive transformations in space.",
"translatedText": "Faktanya, cara yang baik untuk menguji pemahaman Anda tentang video terakhir adalah dengan mencoba memikirkan seperti apa bentuk perkalian matriks ini, dengan memikirkan secara cermat bagaimana kaitannya dengan gagasan penerapan dua transformasi berturut-turut dalam ruang.",
"model": "google_nmt",
"model": "DeepL",
"n_reviews": 0,
"start": 250.48,
"end": 263.82
},
{
"input": "In the next video, I'll start getting into the determinant.",
"translatedText": "Di video berikutnya, saya akan mulai masuk ke determinan.",
"model": "google_nmt",
"model": "DeepL",
"n_reviews": 0,
"start": 272.14,
"end": 274.5
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