Computer Aided Translation (CAT) & Computer Translation (MT)

Computer -Aided Translation (CAT) Tools are software application that assist in translating content from one language to another. 

Translation tools, also known as CAT (computer-aided translation), enhance the productivity and consistency of translators. They usually include several component technologies in a single integrated workbench, such as document editors, terminology management, and translation memory. The tools have evolved along with the computing and networking industries, first as stand-alone software to be used on a single computer, then client-server tools to be used on a company network, and most recently to cloud-based tools delivered via the internet.

A computer-assisted translation tool facilitates the translation process by resolving the text into smaller, translatable segments. It organizes these segments of text in a manner which makes it easier for the translator to translate the text effectively, and makes the process of translation time-efficient. The segments can be recalled later on and thus the translator ensures that the terminology and writing style of the original is followed. It also provides savings when the material that needs translation is similar to previously translated material – you only pay for part of the sentence that has changed.

A CAT tool further reduces any chances of errors by saving the translated segments along with the source phrase. A translator can easily access any of the translated segments at any given time to ensure that the segment has been translated adequately. Computer-assisted translation tool has been developed to allow the translator to be able to quickly search and alter-if needed- a particular segment of the text. It has been programmed to assist the translator with the revision in a timely manner.

The computer-assisted translation tool saves the translated segments and source segments as distinguished translation units. It saves these segments in a translation data base, referred to as the translational memory.

Translation units stored in the translation memory can be accessed at any given time to be re-used either in the same document or a different one. Computer-assisted translation tool is equipped with special search features to allow the translator to access segments of translated fragments even when two segments do not match completely.

A computer-assisted translation tool leads to the effective use of time and energy resources during the process of translation. It also helps to create a translation memory, which can be utilized later on as training corpus for machine translation engines.

The availability of translation units in the translation memory also ensures consistency in the usage of certain terms. This adds authenticity to the translated document.

A computer-assisted translations tool can provide with much needed assistance when translating texts of considerable sizes. It effectively aids the translator in the processes involving correct use of terminology, maintaining consistency and proof reading.

At times it happens that the translator is required to translate content which is highly technical in nature. In such cases, or otherwise, complying with a given list of specific terminologies to be used accurately in the translated document can increase the work load for the translator. Going back and forth to the provided list to tally your document with the given list of terminologies can also be quite time consuming. Computer-assisted translation tool can be programmed to automatically identify any of the places in the document where a specific terminology can be used suitably.

Computer-assisted translation tool works in compatibility with the requirements of the digital age. In most cases we can made to work in paper-less environments and computer-assisted translation tool can be of great help while working in such surroundings. It comes with the technology to provide backup support to a translated document ensuring that in case of any mishap, a copy of the document can be retrieved.

Computer-assisted translation tool has added greatly to the efficiency of translation process while ensuring the availability of quality translation. It is an essential tool for both translators and buyers of translation services.

CAT Tool Features

CAT tools are similar to a text editor, such as Microsoft Word only with additional features useful for a translation professional. There are many products on the market with different sets of features included. Below is a list of common features that are can be found in CAT tools:

* Term bases are translation glossaries that are built from frequently occurring words or phrases, such as technical terms and brand names. They are used to pre-translate recurring words and phrases, and to assist translators in maintaining consistency.

* Translation memory is an aligned record of previously created translations. When identical or similar segments are found in a new translation project, translation memory allows the reuse previous translations with or without modification.

* Quality assurance relies on a combination of technology and processes to prevent errors from creeping into translation projects. The QA process starts before a project is sent for translation, continues throughout translation and editing, and lasts until after finalizing the new text in the final format.

* Resource lookup gives access to online and offline resources, such as dictionaries and reference materials.

* Word counts and match analysis provides number of words or characters along with any TM or internal matches. This forms the basis of quotes for translation services.

* Term extraction allows the extraction of term lists from translation memories or translated and aligned documents to use in termbases.

* Conversion of files between translation-specific (.tmx, tbx, xliff, etc.) and source formats.

* Alignment is the process of matching segments in the source text with their translated renditions in order to create new translation memory files.

* Machine Translation integration allows connecting an external MT engine which displays machine-translated words and phrases to the translator, who can accept or reject them.

* Concordance searches are manual searches in a translation memory for a particular word or phrase.

* Predictive typing suggests complete words and phrases to translators as they type based on the content of dictionaries, termbases and translation memories.

* Spell check is a more advanced form of the tool typically seen in simple text editors. It allows the selection of not only language and flavor, but also specific grammar and style rules.

* Software localization features allow translators to work on software files directly and see the results of their work in a mirrored rendition of the user interface of the software being translated. Once translation is done, the localized strings are automatically reintegrated in the software.

* Controlled authoring prevents writers from using inconsistent terminology, highlights common errors, and produces standardized output that is search engine friendly, and translation ready.

CAT tools are generally used by individual translators and editors. More robust systems used by translation providers and translation departments inside corporations that allow for management of linguists, management of translation workflows, invoicing and billing are known as Translation Management Systems (TMS).

Computer Translation (MT) Machine translation is accomplished by feeding a text to a computer algorithm that translates it automatically into another language. That is, no human is involved in the translation process.

The advantages of machine translation include cost and speed. Computers can process a machine translation almost instantly. There are free programs such as Google Translate that can translate relatively short texts instantly, but if you need to translate a very long document, you can purchase software that can process an unlimited amount of text at the cost of the software alone. There is also software available that can be integrated with other computer and online tools, providing instant translations in various contexts.

The major disadvantage is lack of accuracy. If you’ve ever used Google Translate to attempt to understand a text in a foreign language, you will know that this method does not produce a particularly natural-sounding or accurate translation. Language is highly complex and dynamic, and while this type of translation technology has improved greatly over the years, it will never be able to completely accurately identify the nuances of each language and transfer them into another language.

It is possible to hire a “post-translation editor” to look over the translation and correct errors, but it can be harder to correctly deduct the meaning of a sentence from its machine translation than from its original language. Translators hired to “smooth out” such translations sometimes end up asking clients to send them the original text because the translation was unintelligible. This is a big waste of everybody’s time!

The best use for machine translation, then, is when you need to understand the general gist of a text. If you need an accurate translation that anyone can understand, you’ll want to opt for a computer-assisted translation.

MT Systems

Generic MT usually refers to platforms such as Google Translate, Bing, Yandex, and Naver. These platforms provide MT for ad hoc translations to millions of people. Companies can buy generic MT for batch pre-translation and connect to their own systems via API.

Customizable MT refers to MT software that has a basic component and can be trained to improve terminology accuracy in a chosen domain (medical, legal, IP, or a company’s own preferred terminology). For example, WIPO’s specialist MT engine translates patents more accurately than generalist MT engines, and eBay’s solution can understand and render into other languages hundreds of abbreviations used in electronic commerce.

Adaptive MT offers suggestions to translators as they type in their CAT-tool, and learns from their input continuously in real time. Introduced by Lilt in 2016 and by SDL in 2017, adaptive MT is believed to improve translator productivity significantly and can challenge translation memory technology in the future. 

MT Approaches

There are three main approaches to machine translation:

• First-generation rule-based (RbMT) systems rely on countless algorithms based on the grammar, syntax, and phraseology of a language.
• Statistical systems (SMT) arrived with search and big data. With lots of parallel texts becoming available, SMT developers learned to pattern-match reference texts to find translations that are statistically most likely to be suitable. These systems train faster than RbMT, provided there is enough existing language material to reference.
• Neural MT (NMT) uses machine learning technology to teach software how to produce the best result. This process consumes large amounts of processing power, and that is why it’s often run on graphics units of CPUs. NMT started gaining visibility in 2016. Many MT providers are now switching to this technology.

References : 

1. https://www.andovar.com/computer-aided-translation-cat-tools/

2. https://www.pangeanic.com/knowledge_center/computer-assisted-translation-tool-cat/#

3. https://www.ulatus.com/translation-blog/machine-translation-vs-computer-assisted-translation-whats-the-difference/

4. https://www.gala-global.org/what-machine-translation

COMPUTER AIDED LANGUAGE LEARNING

INTRODUCTION

 Gamper and Knapp (2002) define Computer-Aided

Language Learning (CALL) as “a research field which

explores the use of computational methods and techniques

as well as new media for language learning and

teaching” (p. 329). In more general terms, CALL can

be thought of as the use of computers to help learn

languages. As a sub-category of Computer-Aided

Learning (CAL), CALL deals exclusively with learning

languages. Specific examples of CALL tools and

utilities include games, tests, exercises, and word

processing, and their use in a CALL session is

determined by the syllabus, software, teacher, or

learner. 

The popularity of CALL is constantly increasing as

multimedia developments and technology are advancing.

In the last few years, CALL systems have

become fully integrated with audio and video support,

creating interesting and attractive presentations. With

the Internet emerging, a new platform for CALL

systems has evolved. Thus, there has been a move

from CD-ROM-based CALL to online Web-based

CALL, enabling more connectivity and interactivity

with other students or teachers. Important examples

of why CALL has moved to Web-based mediums

include the ability to carry out audio and

videoconferencing, use chat rooms and e-mail, and

communicate with native speakers of the language.

CALL METHODOLOGY
As Hubbard (1996) points out, the question for many
language teachers now seems to be not whether, but
how computers can aid in the language learning
process. The use of computers in language acquisition
is becoming common practice, a challenge for research,
and a business opportunity.
In 1987 Hubbard found that courseware reviews
commonly focus on technical considerations, and that
this was sometimes at the expense of language teaching
and learning considerations. He proposed a CALL
Methodological Framework (Hubbard, 1987) that
synthesises the previously developed frameworks of
Philips (1985) and Richards and Rodgers (1982). Key
players in Hubbard’s (1987) framework are the learner,
the developer, the evaluator, and the teacher.
Hubbard’s methodology consists of three modules—
development, evaluation, and implementation—in
which “development necessarily precedes evaluation
while both development and evaluation precede implementation.”
Furthermore in this framework, an integral
approach to evaluation, development, and implementation
is followed where “evaluation can inform
development and implementation experiences can
inform both development and evaluation” (Hubbard,
1996, p. 20).

Development Module

Hubbard’s development module comprises three sections:
approach, design, and procedure. In the approach
section, linguistic assumptions and learning
assumptions are the two principal determining elements.
The two fundamental components of the
design section are the learner profiles and the syllabus.
Finally, the procedure section of the development
model contains the elements to be considered in
the actual layout of the program that presents the
materials (Hubbard, 1996).

Evaluation Module
The evaluation module is made up of three sections:
teacher fit (approach), learner fit, (design) and operational
description (procedure). This module focuses
on pedagogical issues like learning style, teaching approach, and linguistic assumptions (Hubbard, 1996).
Although not addressed by Hubbard, one can assume
that the evaluation module can also contain elements
of usability evaluation of the CALL system.

Implementation Module
The implementation module is constituted by the
areas to be considered for the implementation such as
accessibility, the flow of a CALL lesson, learner use
of courseware, and teacher control. Hubbard (1996)
states: “The two aspects of particular note are the
central role of teacher control in learner use and the
importance of supporting preparatory and follow-up
activities” (p. 31).

Future of CALL
In this section we discuss several elements related to
the present and the immediate future of CALL. There
are examples of CALL systems today that we could
not even think of years ago. In the same way, and due
to the largely increased interest in CALL research and
applications, in the future there will probably be
CALL systems available with functionality that at the
present either seem unattainable or unrealistic.

Intelligent CALL
Intelligent Computer-Assisted Language Learning
(ICALL) has already started to be implemented.
ICALL explores the use of Artificial Intelligence
methods and techniques for language learning (Gamper
& Knapp, 2002). The following is a brief description
of a few AI techniques that are starting to be used in
CALL systems:
• Speech recognition technologies have reached
the stage where CALL learners can talk into the
microphone, and their pronunciation and fluency
are tested, giving them results on their
progress. One such CALL software that takes
advantage of speech recognition technologies is
the “Tell me more education®” packages (see
http://www.auralog.com). In the future, speech
recognition will reach the stage where a conversational
conversational
mode can exist between the learner and
the computer, just like the learner would have a
conversation with a “living” person.
• Expert systems work by storing large amounts of
knowledge about language learning. This knowledge
includes questions and answers, typical
mistakes, and learning strategies. It is then used
to analyse the learners’ interaction with the
computer and produce detailed feedback.
Other AI techniques for CALL include Machine
Translation (e.g., “Babel Fish Translation®”; see
http://babelfish.altavista.com) and Intelligent Tutoring
Systems (e.g., personalised learning environments).

Computer-Assisted Language Testing
Computer-Assisted Language Testing (CALT) can be
defined as “an integrated procedure in which language
performance is elicited and assessed with the help of
a computer” (Niojons, 1994). Like CALL, CALT is
not a relatively new field, but interest in this area has
increased significantly in the past few years. A very
common example of the use of CALT is for multiple
choice questions. If the testing system is designed and
implemented correctly, then the results of the computer
testing will be immediate and without errors,
whereas if multiple choice questions are corrected by
people, there is always the possibility of human error,
and also the process is a lot lengthier and time
consuming. CALT systems can be used for reading
tests, listening tests, and writing tests. Games can also
be used as CALT systems. For example, hangman is
a great word game, and is fun and engaging. It is
important, however, for CALT programs to provide
the learners with clear and accurate feedback results.
One of the most successful CALT systems is the
one used for the TOEFL exams. The Test of English
as a Foreign Language (TOEFL) is taken worldwide
by nearly a million people each year. It is an important
test since the results determine whether students are
to be accepted into many U.S. universities. TOEFL
used to be a ‘pen-and-pencil’ exam, but since 1998 it
has become, and still is, a computer-based exam
taking advantage of CALT.
CALT will continue to play a vital role in the future
of Computer-Assisted Language Learning.

C O N C L U S I O N
In this article we defined CALL, presented a CALL
methodological framework, and discussed the future
of CALL. As Ahmad, Corbett, Rogers, and Sussex
(1985) pointed out, CALL arose from the combination
of two separate factors: educational needs and technological
means. The constant advances in technology
are creating new and exciting opportunities for the
delivery of CALL systems. However, one must not
focus solely on the technology side of CALL. Pedagogical
issues are also extremely important for a
successful language learning process. With both pedagogy
and technology together as the focus of CALL
research, the final systems implemented more accurately
meet the language learning educational needs by
providing a plethora of language learning activities.
Today CALL is more popular than ever. The Internet
and the World Wide Web have provided us with
delivery methods that have created language learning
opportunities that were unimaginable a few decades
ago. Videoconferencing has given us virtual classrooms.
The field of CALL is continually gaining
interest. Intelligent CALL includes techniques like
speech recognition to test the learner’s pronunciation
and accent. The future of CALL looks promising!




Source : https://www.researchgate.net/publication/264042313_Computer-Aided_Language_Learning/

Essay About Listening

MY FAVORITE SUBJECT

Well, talking about my fav subject. actually my fav subject is Listening. i got that subject from first degree until 3rd degree. its just so cool to listen the audio or listen the lecture talked about something and we should translate to indonesian language. I think listening same important with reading also speaking. those are very important to master in english language. While listening something we will know more and more vocabulary that we never known before. Never boring to practice listening, we can practicing with listening music or watch a movie without subtitle to add our vocab. 

   Effective Listening Skills Assignment:
             1. Why are effective listening skills vital to your success?
             I believe that listening skills are vital to my success because it is a universal form of communicating. Listening is an important tool in communicating with others. In order to answer questions and be apart of group discussions I would have to be able to listen and comprehend the topics. Listening is vital to my success because I'll be able to prove that I do have good comprehension skills and am able to listen to directions. To succeed in my career I need to prove that I am capable of accomplishing tasks that require important listening skills. 
             2. Everyone talks about how important listening is but a few people are good at it. Why?
             I think the idea of listening has been instilled as an important behavior ever since we were born. Our parents are our first teachers who have taught us the importance of their rules. Living under our parents' roof meant listening and following their rules. When school starts we are listening to authority figures and have to obey them to stay out of trouble. It is important for people to see others practicing good listening skills because that skill can help them. When parents or teachers don't practice what they preach the children assume they don't always have to take mom and dad's rules seriously. Few people are good at listening because they have been educated about the importance of it. The few people that are educated know the strategies and rules to being a good listener. 
             3. In your opinion what makes someone a good listener?

             I think we should listen carefully for what the speaker talking about, and just focus, dont let anything bother you while you listening something. dont let something attrack your attention. And dont be tired for practice everyday to add your vocab, you can listening to music or a news or just any shows on tv. When you find difficult word you can look up the dictionary or just google it. 

SONG REVIEW #SKYSCRAPER BY DEMI LOVATO

Skyscraper

Demi Lovato

Skies are crying, I am watching
Catching teardrops in my hands
Only silence, as it's ending
Like we never had a chance
Do you have to make me feel like
There's nothing left of me?

You can take everything I have
You can break everything I am
Like I'm made of glass
Like I'm made of paper
Go on and try to tear me down
I will be rising from the ground
Like a skyscraper, like a skyscraper

As the smoke clears, I awaken
And untangle you from me
Would it make you, feel better
To watch me while I bleed?
All my windows still are broken
But I'm standing on my feet

You can take everything I have
You can break everything I am
Like I'm made of glass
Like I'm made of paper
Go on and try to tear me down
I will be rising from the ground
Like a skyscraper, like a skyscraper

Go run, run, run
I'm gonna stay right here,
Watch you disappear
Yeah-oh, go run, run, run
Yeah, it's a long way down
But I am closer to the clouds up here

You can take everything I have
You can break everything I am
Like I'm made of glass
Like I'm made of paper, oh-oh
Go on and try to tear me down
I will be rising from the ground

Like a skyscraper, like a skyscraper
(Like a skyscraper)
Like a skyscraper, like a skyscraper

Setelah keluar dari pusat rehabilitasi, Demi Lovato kembali bekerja. Hasil kerjanya ini sudah bisa kita lihat dan dengar lewat singel terbarunya, Skyscraper, yang dirilis dalam bentuk digital pada 12 Juli 2011 lalu. Ternyata, lagu yang langsung meroket ke peringkat 1 di tangga lagu iTunes ini adalah semacam terapi buatnya. 

Lagu Skyscraper ini sebenarnya sudah dikerjakan Demi sejak tahun lalu. Pada 8 April 2010 lalu, mantan pacarnya Joe Jonas ini sempat membocorkan potongan liriknya, "Go on and try to tear me down, I will be rising from the ground… like a skyscraper..", di akun Twitter-nya, @ddlovato. 

Bintang Camp Rock ini memang mengaku kalau lagu ini ditulis sebelum dia mendapat perawatan. Makanya, dia punya dua versi rekaman lagu ini: yang direkam tahun lalu dan yang baru direkam setelah dia selesai dirawat. “Aku ingat apa yang aku pikirkan (di studio saat rekaman ulang) waktu itu, 'This is kind of my cry for help back then, because I hadn't spoken to anyone about these issues.’ Saat itu aku belum mendapatkan bantuan yang aku butuhkan,” curhatnya pada Ryan Seacrest. 

Versi rekaman pertamalah yang akhirnya dipilih untuk dirilis. “(Saat direkam ulang) rasanya sudah nggak sama lagi, jadi kami memakai yang asli. Bagiku lagu ini begitu… simbolis, ini adalah lagu yang aku rekam sebelum aku dirawat tapi lagu ini memberikan sebuah pesan,” ungkapnya.   

Skyscraper sendiri adalah singel pertama dari album ketiganya yang masih dalam proses pengerjaan. Menurut Demi, album ini akan bernuansa R&B, bukan rock. “Aku sedang mengambil langkah selanjutnya dan belajar untuk membuat musikku lebih radio-friendly tapi tetap sangat artistik. Bagiku, musik yang tepat adalah R&B,” jelasnya. Di sisi lain, Demi juga punya satu tujuan pasti untuk albumnya. "Dengan albumku, aku ingin memberikan inspirasi pada cewek-cewek di manapun yang mengalami masalah-masalah yang sama denganku,” tekadnya.

Review lagu #Someone like you by Adele

Adele Someone Like You Lyrics:

I heard that you’re settled down
That you found a girl and you’re married now.
I heard that your dreams came true.
Guess she gave you things I didn’t give to you.

Old friend, why are you so shy?
Ain’t like you to hold back or hide from the lie.

I hate to turn up out of the blue uninvited
But I couldn’t stay away, I couldn’t fight it.
I had hoped you’d see my face and that you’d be reminded
That for me it isn’t over

Never mind, I’ll find someone like you
I wish nothing but the best for you too
Don’t forget me, I beg
“I’ll remember”, you said,
Sometimes it lasts in love but sometimes it hurts instead.
Sometimes it lasts in love but sometimes it hurts instead,
Yeah.

You know how the time flies
Only yesterday it was the time of our lives
We were born and raised
In a summer haze
Bound by the surprise of our glory days

I hate to turn up out of the blue uninvited
But I couldn’t stay away, I couldn’t fight it.
I had hoped you’d see my face and that you’d be reminded
That for me it isn’t over, yeah.

Never mind, I’ll find someone like you
I wish nothing but the best for you too
Don’t forget me, I beg
“I’ll remember”, you said,
Sometimes it lasts in love but sometimes it hurts instead.

Nothing compares
No worries or cares
Regrets and mistakes
They are memories made.
Who would have known how bittersweet this would taste?

Never mind, I’ll find someone like you
I wish nothing but the best for you too
Don’t forget me, I beg
“I’ll remember”, you said,
Sometimes it lasts in love but sometimes it hurts instead.

Never mind, I’ll find someone like you
I wish nothing but the best for you too
Don’t forget me, I beg
“I’ll remember”, you said,
Sometimes it lasts in love but sometimes it hurts instead.
Sometimes it lasts in love but sometimes it hurts instead.

“I can imagine being about 40 and looking for him again, only to turn up and find that he’s settled with a beautiful wife and beautiful kids and he’s completely happy… and I’m still on my own. The song’s about that and I’m scared at the thought of that.”
–Adele, On Someone Like You Song–

Lagu  Someone Like You adalah track terakhir dalam kantung album kedua Adele 21 edisi standar, dan sebagai lagu penutup Someone Like You sukses memberikan kesan yang amat mendalam dan menggambarkan kesimpulan serta isi keseluruhan albumnya. Dengan hanya dibalut dentingan piano yang larut dalam suara dan penghayatan Adele yang menghanyutkan serta lirik yang “ngoet kana hate” (baca: mencakar – cakar hati) [bahasa sunda.red] membuat Someone Like You yang single-nya sudah dirilis sejak 24 Januari silam ini menjadi lagu yang berkarakter kuat meskipun sangat sederhana. Adele secara cerdas membawakan tiap bait lagu yang ditulisnya bersama produser Dan Wilson ini hingga memunculkan getaran pilu pada hati pendengarnya, tidak hanya pada versi studionya bahkan lebih mengiris – iris jantung bila mendengarkan Adele menyanyikannya secara live. Harus memiliki pertahanan emosi dan mental yang kuat untuk seorang penyanyi menarasikan isi lirik yang berkenaan dengan masalah pribadinya dan Adele mampu melakukannya terbukti emosinya terjaga setiap kali menyanyikan lagu ini, pelan – pelan dibangun hingga emosinya memuncak pada klimaksnya sehingga pendengar akan ikut tersentuh dan terharu.

Review lagu #Stone Cold

STONE COLD adalah lagu bergenre pop yang di nyanyikan oleh Demi Lovato, menceritakan seolah olah dia baik baik saja padahal sebenarnya dia menyimpan sejuta kesedihan dalam dirinya, dan berpura pura bahagia.

berikut lirik dan artinya..

Stone cold, stone cold
You see me standing, but I'm dying on the floor
Stone cold, stone cold
Maybe if I don't cry, I don't feel anymore

Dingin membatu, dingin, sangat dingin. Kau melihatku berdiri seakan tanpa beban rasa sedikitpun,  tapi sebenarnya aku sedang tergeletak tersiksa di lantai. Seakan membatu es, dingin rasanya, tak berdaya. Mungkin jika aku tak menangis, aku takkan merasakan pedih ini lagi, setidaknya berpura-pura tak menangis.

Stone cold, baby
God knows I tried to feel
Happy for you
Know that I am redefined
And I understand, I'll take the pain
Give me the truth, me and my heart
We'll make it through
If happy is her, I'm happy for youDingin membatu..Tak terhitung berapa kali aku mencoba tersenyum, ikut bahagia untukmu, bahkan Tuhan pun tahu itu. Kan kuterima rasa sakit ini. Cukup katakan padaku kebenarannya, ya katakan padaku dan hatiku, agar mereka bisa mengerti, lalu kita selesaikan semuanya. Hingga akhirnya aku kan berkata jika bahagiamu adalah dia, akupun turut bahagia untukmu.

Stone cold, stone cold
You're dancing with her, but I'm staring at my phone
Stone cold, stone cold
I was your amber, but now she's your shade of gold

Dingin membatu, ketika kau berdansa dengannya, aku hanya bisa menatap telfonku, berpura-pura tak melihatmu. Kemudian aku membeku lagi seperti batu yang sangat dingin, menyadari bahwa kini aku hanyalah cahaya kekuning-kuningan, dan ia sekarang adalah cahaya keemasan bagimu.

Stone cold, baby
God knows I tried to feel
Happy for you
Know that I am redefined
And I understand, I'll take the pain
Give me the truth, me and my heart

We'll make it through

If happy is her, I'm happy for youDingin membatu, tak terhitung berapa kali aku mencoba bahagia untukmu, tuhan pun tahu itu. Mencoba memahami, dan menanggung kepahitan ini. Katakan saja padaku kebenarannya..aku dan hatiku, agar mereka paham keadaan ini, lalu kita selesaikan ini, walau pada akhirnya aku harus menelan kenyataan bahwa kau bahagia bersamanya. Aku turut bahagia untukmuu..

Don't wanna be stone cold, stone
I wish I could mend this but here's my goodbye
Oh, I'm happy for you
Know that I am, even if I
Can't understand. If happy is her, If happy is her. I'm happy for you

Tak ingin dingin membatu, andai aku bersungguh-sungguh tapi inilah ucapan selamat tinggalku. Sungguh, aku bahagia untukmu. Ketahuilah aku ikut senag, meski akuu.....ah sudahlah, aku turut bahagia untukmu, meski jika bahagiamu adalah ia. Sekali lagi kukatakan aku turut bahagia untukmu.

Song review #young dumb and broke

• YOUNG DUMB AND So you're still thinking of me
  Just like I know you should
  I can not give you everything, you know I wish I could
  I'm so high at the moment
  I'm so caught up in this
  Yeah, we're just young, dumb and broke
  But we still got love to give
  
  While we're young dumb
  Young, young dumb and broke
  Young dumb
  Young, young dumb and broke
  Young dumb
  Young dumb
  Young, young dumb and broke
  Young dumb broke high school kids
  Yadadadadadadada
  Yadadadadadada
  Yadadadadadadada
  Young dumb broke high school kids
  
  We have so much in common
  We argue all the time
  You always say I'm wrong
  I'm pretty sure I'm right
  What's fun about commitment?
  When we have our life to live
  Yeah, we're just young dumb and broke
  But we still got love to give
  
  While we're young dumb
  Young, young dumb and broke
  Young dumb
  Young, young dumb and broke
  Young dumb
  Young, young dumb and broke
  Young dumb broke high school kids
  Yadadadadadadada
  Yadadadadadada
  Yadadadadadadada
  Young dumb broke high school kids
  
  Jump and we think - do it all in the name of love
  Love
  Run into sin, do it all in the name of fun
  Fun
  Whoa-oa-oa
  I'm so high at the moment
  I'm so caught up in this
  Yeah, we're just young, dumb and broke
  But we still got love to give
  
  While we're young dumb
  Young, young dumb and broke
  Young dumb
  Young, young dumb and broke
  Young dumb
  Young dumb
  Young, young dumb and broke
  Young dumb broke high school kids
  Yadadadadadadada
  Yadadadadadada
  Yadadadadadadada
  Young dumb broke high school kids
• 
  
• Here, Khalid attempts to convince a girl he likes that there's nothing wrong with being "young" and "dumb" and "broke" high school kids. Khalid penned the song with Australian producer Joel Little, who is best known for being Lorde's collaborator on her debut album. Pure Heroine. Khalid recalled the story of the song to Genius:

  
  

  "We created the beat from scratch, me and Joel Little. I just wanted something not necessarily positive, but super upbeat. Hearing the chords, 'I was like this sounds anthemic.' And I was like, 'You know what. I'm young, I'm dumb, and I'm broke. I've been young, I've been dumb, and I've been broke.' That's pretty much where the basis of the song came from. I feel like the whole project is all about me being honest. And I felt like, you can't get more honest than calling yourself young, dumb, and broke."

  Filmed in an actual high school, the Calmatic-directed video features a host of celebrity cameos, starting with Dennis Haskins (Mr. Belding from Saved by the Bell) as Khalid's principal. Other famous names that make appearances include Fifth Harmony's Normani Kordei, as the singer's Prom Queen, She's All That actress Rachael Leigh Cook who portrays a teacher, and Kenan & Kel's Kel Mitchell, who plays a cafeteria worker. The clip ends with TV personality Wayne Brady in the guise of a disgruntled janitor.

  Khalid told the Minneapolis Star Tribune the song was inspired by "not seeing love as a commitment at my age." 

  
  

  He continued, "It was my expression of just accepting the characteristics I had at the time, and not caring that older people might look down at us. It's like, 'Yeah, I might be young, dumb and broke, but I still have so much love to give.'"

  
  

  Khalid added: "I've met so many different people, especially as a military kid, that I know relationships don't always last. And that's OK."

  It was Joel Little's publisher, Sony/ATV, who set up the session with Khalid that produced this track. He recalled to Songwriter Universe:

  
  

  "At the time, it was in the early days for Khalid, before his song 'Location' became a hit. I'd heard a Soundcloud link to 'Location' and I thought it was really cool. When I heard his voice and the type of music he was making, I thought there was something really special about him. 

  
  

  Then Khalid came around to my studio, which I have in my house, and we were there with a topliner named Talay Riley. And on the first day together, we wrote 'Young Dumb & Broke.' We'd written another song that day and it was really cool... a slow, dark track. We were about to finish up, but Talay said, 'Hey. how about we try something else? We can do something that's a little more upbeat.' And both Khalid and I looked at each other—we were quite tired…we'd been working pretty hard. But we said 'Okay,' and I just turned around and I made the beat and the chords on the spot. And within half an hour, the majority of the song was written. It obviously doesn't always happen quickly, but for some reason that song clicked into place straight away."