शैडोइंग अभ्यास: I moved to NYC for a software engineer job... - वीडियो के साथ अंग्रेजी बोलना सीखें
पाठ बनाया जा रहा है...
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I'm going to go to the next episode.
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hey guys welcome back to my channel my name is gazzy
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and if you're new here welcome welcome
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so you might be wondering why i have a new background
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or maybe you never noticed
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and don't care i literally just robbed in new york city people think i just moved here randomly
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but girl why am i gonna choose a dirty
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and expensive city to live in
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when i got my home to pronto essentially moved here
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because i got a new job i got a new job
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as a software engineer at google my team was based in New York City
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and they paid for my relocation and that's why I'm here
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but I know everyone just like thinks about New York as this like special place
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but I was thinking of like the downsides for the longest
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time like I was thinking about the subway rat the dirt the crackheads I was thinking about all these things
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so yeah I'm in my new apartment now I'm still moving
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in I'm still settling in this vlog is an assortment of
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a lot of different things like you will see me transition
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into New York City you will see what I do as a software engineer at Google
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and since I'm also doing a part-time master's in computer science
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and doing content creation you will see a part of
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that as well
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so yeah i hope you like this vlog i'm literally still
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very new to this like even talking to a camera right now feels super awkward i can't believe
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that there are people that actually watch me so the fact
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that you're watching right now yes you that means
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so much to me oh my god i've been yapping for so long let's get to the video good morning
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okay i'm gonna show you guys my simple skincare routine i like to dry my face with a microfiber cloth
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because i feel like this is very soft in your skin
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and you don't want to be rubbing your skin barrier this is my go-to moisturizer this is the
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Soonjeon barrier cream The last step of my skincare is obviously sunscreen This is the Centella Waterfit Sun Syrup
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Let's go make some breakfast guys
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I'm gonna go.
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My local Trader Joe's my local trader joe's is out of egg whites
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and for some reason i think i mentioned this before there
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is a freaking egg hoarder on the loose let's dismember this avocado by the way guys don't get the impression
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that i know what i'm doing like literally this is my first time actually living alone
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if you see me doing dumb stuff in my apartment just keep it moving Yummy
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okay it's saturday right now
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and i'm gonna show you what i do as a software engineer at google
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and you must be thinking gazzy why the hell are you working on a weekend uh
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if you've watched my previous videos i was at pinterest before this
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and before that i was at amazon
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and i was a full stack engineer in both the companies
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so the workflow was pretty predictable before google I'm actually in a machine learning team
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and if you're familiar with machine learning models you just know
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that they're very time consuming like every change you make it takes
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so long for it to train on data the reason why I work in the weekends is
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because I train my models during the weekend
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so it finishes training by the time it's Monday
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and I can just like see the results and work on top of it
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so let's go through what i actually do as a software engineer at google
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and my team so obviously i can't like specify what i do
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because i'll get fired high level my team deals with google search
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so anyone that searches on google gets a bunch of ads catered to who they are as a person At first,
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like I wasn't really that into working with ads because obviously as a user and a consumer, no one likes seeing ads all the time.
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But from the backend side, like making these machine learning models, adding features to them and seeing how they work in real time, how they affect revenue is super interesting to me.
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And over here, I literally use two laptops.
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So one laptop is for my work and the other one's my personal laptop for like any sort of personal coding.
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And I have this setup where it's just literally one plug
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and this wire connects to this Thunderbolt hub where I connect the power
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and the usb hub and that connects to this usb hub
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which i can use to essentially switch between my pc
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and the three laptops so yeah i love it a lot
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because it's literally one connection
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and you can control three things later today i was invited
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by a restaurant to have lunch there literally i'm like
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so hungry right now and i feel like
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if i eat right now i won't be able to eat in the restaurant
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so look at what i'm eating this is
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so sad teardrop oh my god i could literally eat like
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a big mac right now there's got to be hungry
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when i get there so i can actually enjoy the experience i gotta delay it the restaurant
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that i'm going to today is called nari
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and it's a korean restaurant i'll take you guys with me
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so you can see the food oh my god this is
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the outfit okay i'm ready to go okay i forgot my bag
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We're at Nori right now.
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This place is so beautiful.
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They're really spot-wise and what they're making.
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There's this...
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We do a few Shambleton We do a lot of champagne The shades are from Shein
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Everything is from Shein
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I'm getting better at chopsticks You are supposed to I'm so full It's doing so good
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Everything that you do looks good I'm so full
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I'm so
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excited to be here.
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So so so
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The material is like super soft and malleable and they also gave me this AirPod keychain.
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I just got home and I'm honestly so tired right now
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but of course the course that I'm taking for my master's has a deadline tonight.
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A lot of people was basically asking me like why am I doing a master's if I already have a job?
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So what happens usually is when you first start a job there's obviously a huge learning curve.
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You learn a lot.
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After a year or two you reach a kind of plateau where you stop learning and you get into a maintenance phase.
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You already know what you know it's just you're kind of applying
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that knowledge over and over in one sense it's super comfortable
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when you get to that stage
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and in another sense i feel like you lose out on a lot of opportunities to learn new things so for
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my master's i'm basically learning about path planning and
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that is in the simplest sense how a character maps out where to go
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when it has like a destination or target
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and in video games like this happens all the time
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when an enemy is chasing you when you're trying to find something
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when there's a map
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and that's just like one part of what i'm learning it
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has broadened my perspective on video games in general i can see how things work from a gamer perspective
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and also from an engineer perspective.
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Very surreal given the fact that I was literally an undergrad a couple years ago
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and I was just like thinking to myself how computer science might not be for me
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and the assignments i was working on was so hard
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and i was like about to give up
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and i was just like there's no way and i really think
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that if you just try hard enough if you put the effort into yourself you will get dividends
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इस पाठ की शब्दावली और बोलने के सुझाव
यह B1 स्तर का स्पीकिंग पाठ वीडियो “I moved to NYC for a software engineer job..” पर आधारित है। सबसे ज़्यादा दोहराए गए शब्द ये हैं: google, learning, engineer, thinking। इस वीडियो में शैडोइंग के लिए 114 वाक्य और 1353 शब्द हैं। बोला गया हिस्सा 11:27 लंबा है। वक्ता लगभग 118 शब्द प्रति मिनट की स्थिर गति से बोलता है, जो शैडोइंग के लिए आरामदायक है। 83% शब्द अंग्रेज़ी के 3,000 सबसे आम शब्दों में से हैं; बाकी शब्द अभ्यास से पहले देख लेना अच्छा रहेगा।
इस वीडियो की मुख्य शब्दावली
वीडियो के 15 सबसे कठिन शब्द, उच्चारण और अर्थ के साथ:
| शब्द | उच्चारण | अर्थ |
|---|---|---|
| laptop संज्ञा | /ˈlæp.tɑp/ | लैपटॉप |
| trader संज्ञा | /ˈtɹeɪdɚ/ | व्यापारी, सौदागर |
| barrier संज्ञा | /ˈbæɹi.ə/ | बाधा, रुकावट |
| avocado संज्ञा | /ˌɑvəˈkɑdoʊ/ | रुचिरा, मक्खनफल |
| sunscreen संज्ञा | सनस्क्रीन | |
| workflow संज्ञा | /ˈwɝkfloʊ/ | कार्यप्रणाली, कार्यपद्धति |
| plateau संज्ञा | /plæˈtoʊ/ | पठार, अधित्यका |
| dividend संज्ञा | /ˈdɪvɪdɛnd/ | लाभांश |
| consume क्रिया | /kənˈsum/ | उपभुक्त |
| champagne संज्ञा | /ʃæmˈpeɪn/ | शैंपेन |
| rub क्रिया | /ɹʌb/ | रगड़ना |
| randomly क्रिया विशेषण | /ˈɹændm̩li/ | यदृच्छया, यादृच्छिकतः |
| cloth संज्ञा | /klɒθ/ | कपड़ा, पारचा |
| subway संज्ञा | /ˈsʌbˌweɪ/ | भूमिगत रेल, मीट्रो |
| stack संज्ञा | /stæk/ | धुआँरा |
इस वीडियो का व्याकरण
वक्ता जिन संरचनाओं का सबसे अधिक प्रयोग करता है, वीडियो के असली शब्दों के साथ:
| संरचना | वीडियो में |
|---|---|
| शर्त वाले वाक्य if + उपवाक्य, will/would + क्रिया — शर्त और उसका नतीजा | if i eat right now i won't be |
| Passive voice be + past participle — ज़ोर इस पर कि क्या होता है, न कि कौन करता है | was based · was invited · is called |
| Present perfect have/has + past participle — बीता हुआ काम जिसका असर अभी भी है | you've watched · has broadened |
| Past continuous was/were + -ing — बीते समय के किसी क्षण में चल रहा काम | was thinking · was working |
ध्यान देने योग्य उच्चारण
वक्ता 49 बार संक्षिप्त रूपों का प्रयोग करता है, जैसे I'm, you're, gonna। इन्हें वैसे ही छोटा बोलें जैसा आप सुनते हैं।
- “sh” और “zh” की ध्वनियाँ: relocation /ˌɹiːləʊˈkeɪʃən/, champagne /ʃæmˈpeɪn/, shade /ʃeɪd/, destination /dɛstɪˈneɪʃən/
- लंबे शब्द — बलाघात सही रखें: avocado /ˌɑvəˈkɑdoʊ/, malleable /ˈmæl.iː.ə.bəl/, relocation /ˌɹiːləʊˈkeɪʃən/, predictable /pɹəˈdɪktəbləl/, destination /dɛstɪˈneɪʃən/
हिंदी भाषियों के लिए मुश्किल ध्वनियाँ:
- /v/ और /w/ का फ़र्क़ — /v/ में ऊपर के दाँत निचले होंठ को छूते हैं, /w/ में होंठ गोल होते हैं: vlog /ˈvlɑɡ/, avocado /ˌɑvəˈkɑdoʊ/, workflow /ˈwɝkfloʊ/, dividend /ˈdɪvɪdɛnd/, subway /ˈsʌbˌweɪ/
- शब्द की शुरुआत में s + व्यंजन — पहले “इ” न जोड़ें: skincare /ˈskɪn.kɛɹ/, specify /ˈspɛs.əˌfaɪ/, stack /stæk/
- /æ/ — “ऐ” से ज़्यादा खुला: laptop /ˈlæp.tɑp/, barrier /ˈbæɹi.ə/, malleable /ˈmæl.iː.ə.bəl/, plateau /plæˈtoʊ/, champagne /ʃæmˈpeɪn/
इस वीडियो से अभ्यास कैसे करें
- पहले बिना बोले पूरा वीडियो एक बार सुनें और जो शब्द नहीं आते उन्हें लिख लें।
- सामान्य गति पर एक-एक वाक्य की शैडोइंग करें और हर वाक्य तब तक दोहराएँ जब तक आपकी लय वक्ता से न मिल जाए।
- अपनी आवाज़ रिकॉर्ड करें और मूल से तुलना करें, ख़ासकर laptop, trader, barrier जैसे शब्दों पर ध्यान दें।
शैडोइंग तकनीक क्या है?
शैडोइंग (Shadowing) एक विज्ञान-समर्थित भाषा सीखने की तकनीक है जो मूल रूप से पेशेवर दुभाषिया प्रशिक्षण के लिए विकसित की गई थी। विधि सरल लेकिन शक्तिशाली है: आप मूल अंग्रेज़ी ऑडियो सुनते हैं और तुरंत इसे ज़ोर से दोहराते हैं — जैसे वक्ता की छाया 1-2 सेकंड की देरी से। शोध से पता चलता है कि यह उच्चारण सटीकता, स्वर, लय, जुड़ी हुई ध्वनियाँ, सुनने की समझ और बोलने की प्रवाहशीलता में काफ़ी सुधार करता है।