Surprising Multilingual Song Covers from Around the World

I’m totally not adopting any of Buzzfeed’s style with this. Nu huh.

A special thank you to the many members of Polyglot Polls who contributed to this list (I asked in a poll for exactly what I wrote in the title here and they provided this fantastic list! I also made contributions, as you could have probably guessed). Thank you so much!


“Bring Him Home” in Welsh


“Zombie” in Urdu


“Blackbird” in Scottish Gaelic



Gangham Style in Bashkir


“Somebody That I Used to Know” in Hebrew


“My Heart Will Go On” in Burmese


“Hallelujah” in Welsh


“Hallelujah” in Greenlandic


“Let it Go” in Nauruan (Christian-ized version)


“Despacito” in Mandarin Chinese


“Despacito” Parody in Greek


“You Raise Me Up” in Greenlandic


What multilingual song covers would YOU like to share? Feel free to share them in the comments!

Think Human Translators Will Be Replaced By Machines? Not So Fast!

In line with the previous piece about corporate narratives discouraging cultural exploration and language learning, there is a corollary that I hear more often and sadly some people whom I respect very deeply still believe it:

Namely, the idea that translation, along with many other jobs, will be replaced entirely by machines (again, a lot of misinformation that I’m going to get into momentarily)

My father went so far to say that my translation job wouldn’t be around in a few years’ time.

Iso an Jekob

I don’t blame him, he’s just misinformed by op-eds and journalists that seek to further an agenda of continued income inequality rather than actually looking at how machine translation is extremely faulty. After all, fewer people believing that learning languages is lucrative means that fewer people learn languages, right? And money is the sole value of any human being, right?

I am grateful for machine translation, but I see it as a glorified dictionary.

But right now even the most advanced machine translation in the world has hurdles that they haven’t even gotten over, but haven’t even been ADDRESSED.

I will mention this: if machine translation does end up reaching perfection, it will almost certainly be with very politically powerful languages very similar to English first. (The “Duolingo Five” of Spanish, French, Italian, German and Portuguese would be first in line. Other Germanic Languages, with the possible exceptions of Icelandic and Faroese, would be next.)

If the craft “dies” in part, it will be in this sector first (given as it is the “front line”). Even then, I deem it doubtful (although machine translation reaching perfection from English -> Italian is a thousand times more likely than it reaching perfection from English -> Vietnamese) But with most languages in the world, translators have no fear of having their jobs being replaced by machines in the slightest.

Because the less powerful you get and the further you get away from English, the more flaws show up in machine translation.

Let’s hop in:


  • Cultural References


Take a look at (in which using machine translation is absolutely and completely forbidden). You’ll notice that a significant amount of the song texts come with asterisks, usually ones explaining cultural phenomena that would be familiar to a Russian- or a Finnish-speaker but not to a speaker of the target language. Rap music throughout the world relies heavily on many layers of meaning to a degree in which human translators need to rely on notes. Machine translation doesn’t even DO notes or asterisks.

Also, there’s the case in which names of places or people may be familiar to people who speak one language but not those who speak another. I remember in Stockholm’s Medieval Museum that the English translation rendered the Swedish word “Åbo” (a city known in English and most other languages by its Finnish name “Turku”) as “Turku, a city in southern Finland” (obviously the fluent readers of Scandinavian Languages needed no such clarification).

And then there are the references to religious texts, well-known literature, Internet memes and beyond. In Hebrew and in Modern Greek references to or quotes from ancient texts are common (especially in the political sphere) but machine translation doesn’t pick up on it!

When I put hip-hop song lyrics or a political speech into Google Translate and start to see a significant amount of asterisks and footnotes, then I’ll believe that machine translation is on the verge of taking over. Until then, this is a hole that hasn’t been addressed and anyone who works in translation of cultural texts is aware of it.


  • Gendered Speech

In Spanish, adjectives referring to yourself are different depending on your gender. In Hebrew and Arabic, you use different present-tense verb forms depending on your gender as well. In languages like Vietnamese, Burmese, and Japanese different forms of “I” and “you” contain gendered information and plenty of other coded information besides.

What happens with machine translation instead is that there are sexist implications (e.g. languages with a gender-neutral “he/she” pronoun such as Turkic or Finno-Ugric Languages are more likely to assume that doctors are male and secretaries are female).

Machine Translation doesn’t have a gender-meter at all (e.g. pick where “I” am a man, woman or other), so why would I trust it to take jobs away from human translators again?

On that topic, there’s also an issue with…


  • Formality (Pronouns)


Ah, yes, the pronouns that you use towards kids or the other pronouns you use towards emperors and monks. Welcome to East Asia!

A language like Japanese or Khmer has many articles and modes of address depending on where you are relative to the person or crowd to whom you are speaking.

Use the wrong one and interesting things can happen.

I just went on Google Translate and, as I expected, they boiled down these systems into a pinhead. (Although to their credit, there is a set of “safe” pronouns that can more readily be used, especially as a foreign speaker [students are usually taught one of these to “stick to”, especially if they look non-Asian]).

If I expect a machine to take away a human job, it has to do at least as well. And it seems to have an active knowledge of pronouns in languages like these the way a first-year student would, not like a professional translator with deep knowledge of the language.

A “formality meter” for machine translation would help. And it would also be useful for…


  • Formality (Verb Forms)


In Finnish the verb “to be” will conjugate differently if you want to speak colloquially (puhekieli). In addition to that, pronouns will also change significantly (and will become shorter). There was this one time I encountered a student who had read Finnish grammar books at length and had a great knowledge of the formal language but NONE of the informal language that’s regularly used in Finnish-Language vlogging and popular music.

Sometimes it goes well beyond the verbs. Samoan and Fijian have different modes of speaking as well (and usually one is used for foreigners and one for insiders). There’s Samoan in Google Translate (and Samoan has an exclusive and inclusive “we” and Google Translate does as well with that as you would expect). I’m not studying Samoan at the moment, nor have I even begun, but let me know if you have any knowledge of Samoan and if it manages to straddle the various forms of the language in a way that would be useful for an outsider. I’ll be waiting…


  • Difficult Transliterations


One Hebrew word without vowels can be vowelized in many different ways and with different meanings. Burmese transliteration is not user-friendly in the slightest. Persian and Urdu don’t even have it.

If I expect a machine to take my job, I expect it to render one alphabet to another. Without issues.


  • Translation Databases Rely on User Input


This obviously favors the politically powerful languages, especially those from Europe. Google Translate’s machine learning relies on input from the translator community. I’ve seen even extremely strange phrases approved by the community in a language like Spanish. While I’ve seen approved phrases in languages like Yiddish or Lao, they’re sparse (and even for the most basic words or small essential phrases).

In order for machine translation to be good, you need lots of people putting in phrases into the machine. The people who are putting phrases in the machine are those with access to computers, not ones who make $2 a day.

In San Francisco speakers of many languages throughout Asia are in demand for being interpreters. A lot of these languages come from poor regions that can’t send a bunch of people submitting phrases into Google Translate to Silicon Valley.

What’s more, there’s the issue of government support (e.g. Wales put its governmental bilingual documents into Google Translate, resulting in Welsh being better off with machine translation that Irish. The Nordic Countries want to preserve their languages and have been investing everything technological to keep them safe. Authoritarian regimes might not have the time or the energy to promote their languages on a global scale. Then again, you also get authoritarian regimes like Vietnam with huge communities of expatriates that make tech support of the language readily available in a way that would make thousands of languages throughout the world jealous).


  • Developing World Languages Are Not as Developed in Machine Translation


Solomon Islands Pijin would probably be easier to manage in machine translation that Spanish, but it hasn’t even been touched (as far as I know). A lot of languages are behind, and these are languages spoken in poor rural areas in which translators and interpreters are necessary (my parents worked in refugee camps in Sudan, you have NO IDEA how much interpreters of Tigre were sought after! To the degree in which charlatans became “improvisational interpreters”, you can guess how long that lasted.)

Yes, English may be the official language of a lot of countries in Africa and in the Pacific (not also to mention India) but huge swathes of people living here have weak command of English or, sometimes, no command.

The Peace Corps in particular has tons of resources for learning languages that it equips its volunteers with. Missionaries also have similar programs as well. Suffice it to say that these organizations are doing work with languages (spanning all continents) on a very deep level where machine translation hasn’t even VENTURED!


  • A Good Deal of Languages Haven’t Been Touched with Machine Translation At All


And some of this may also be in part due to the fact that some of them have no written format, or no standardized written format (e.g. Jamaican Patois).


  • Text-To-Speech Underdeveloped in Most Languages


I’m fairly impressed by Thai’s Text-to-Speech functionality in Google Translation, not also to mention those of the various European Languages that have them (did you know that if you put an English text into Dutch Google Translate and have it read out loud, it will read you English with a Dutch accent? No, really!)


And then you have Irish which has three different modes of pronunciation in addition to a hodge-podge “standard” that is mostly taught in schools and in apps. There is text-to-speech Irish out there, developed in Trinity College Dublin, It comes in multiple “flavors” depending on whether you want Connacht, Ulster or Munster Irish. While that technology exists, it hasn’t been integrated into Google Translate in part because I think customization options are scary for ordinary users (although more of them may come in the future, can’t say I know because I’m not on the development team).


For Lao, Persian, and a lot of Indian regional languages (among many others), text-to-speech hasn’t even been tried. In order to fully replace interpreters, machine translation NEEDS that and needs it PERFECTLY. (And here I am stuck with a Google Translate that routinely struggles with Hebrew vowelization…)


  • Parts of Speech Commonly Omitted in Comparison to Other Languages


Some languages, like Burmese or Japanese, often form sentences without any variety of pronoun in the most natural way of speech. Instead of saying “I understand” in Burmese, you would literally say “ear go-around present-tense-marker” (no “I”, although you could add a version of “I” and it would still make sense). In context, I could use that EXACT same phrase as the ear going around to indicate “you understand” “we understand” “the person behind the counter understands”.

In English, except in the very informal registers (“got it!”) we usually need to include a pronoun. But if machine translation should be good enough to use in sworn interviews and in legal proceedings, they should be able to manage when to use pronouns and when not to. Even in a language like Spanish adding “yo” (I) versus omitting it is another delicate game to play, as is the case with most languages in which person-information is coded into the verb (yo soy – I am, but soy could also mean “I am” as well)

Now take a language like Rapa Nui (“Easter Island Language”). Conjunctions usually aren’t used (their “but” comes from Spanish as a loan word! [pero]). Now let’s say a machine has to translate from Rapa Nui into English, how will the “and” ‘s and “but” ‘s be rendered in a way that is natural to an English speaker?


Maybe the future will prove me wrong and machine translation will be used in courts instead of human beings. But I’ll come closer to believing it when these ten points are done away with SQUARELY. Until then, I’ll be very skeptical and assure the translators of the world that they are safe in their profession.





Presenting: The Cantaloupian Language!

Presenting: The Cantaloupian Language!

For “No Pineapple Left Behind”, I was tasked to create an artificial language learned in the in-game schools, and the Cantaloupian Language was the result of this project.

The two sentences explained in more detail:

Viß Ioŋ bekumam bunaris noutis, Ioŋ þa minema pra laundeyat.

If I good grades, I will go to college.

If you speak Norwegian or Danish (or both), you definitely recognize a cognate of “hvis”, at the beginning of this sentence. German speakers may recognize a cognate of “bekommen”, and Spanish speakers (and students) may recognize “buenas notas”.

In most cases, I took a lot of these words from other languages that I know (and others that I have studied at some point), although in almost all cases I altered them. There are others still that I had concocted from bastardized versions of phrases (“laundeyat” is a primary example, from English “Loan Debt”).

Also interesting was that I used “minema” as a verb that conjugates regularly, whereas in Estonian this verb is irregular (e.g. “ma lähen” = “I go”. Don’t ask me why or how. I didn’t make that language…)

The grammar was mostly influenced by Northern Sami, although the sentence structure and idiomatic flow does resemble that of English.

þa let intent ananas ßomm þa let azovanut.

Modern Greek speakers here, anyone? “Tha” may ring a bell as introducing the future tense. Speakers of Finnish will also recognize the a version of the “-nnut/nnyt” ending. And, of course, the verb “to be” = very Northern Sami indeed, but I can’t reveal everything right now, now, could I?

Other things of note:

The “ge”? That resembles the Estonian command suffix: “-ke/-ge”. For Finnish Speakers, this is “-kaa”.

The “sau” on the page is closer idiomatically to the Swedish word “att må”, meaning to feel a certain way. The word “to be”, as evidenced, is something else entirely.

If you are surprised and entertained by this development, just wait. This isn’t the last you’ve heard of it.

Have you ever tried making your own language?

“I’ve Heard It’s Really Hard…” : On The Finnish Language


I began my journey with the Finnish Language in March 2013, during a few weeks off in the United States.

After having spent eight months in Sweden, I remember that many of my friends (Swedish and otherwise) found the Finnish Language odd, interesting, and completely unintelligible, despite the fact that there were Finnish translations on almost every single piece of food packaging in the country.

“Strange Language. Double Letters. Long Words.”

One time I asked a Swede why the Finnish language was understudied in Sweden. His answer: “You don’t study Cherokee in the United States, do you?”

And that was nothing to say of the fake Finnish thrown around by some Swedish comedians. What follows is likely the best-known example (with English subtitles):

I’m not passing judgment on any of these phenomena. They are what they are.

I did research in Finland for my MA Thesis—an effort I will submit later this week. Obviously it made sense to show commitment to the culture by learning the language. While I was not fluent by the time I arrived in November 2013 (and I still am not, but I am almost there…), my efforts were appreciated by everyone whom I interviewed , and the following exchange I had with the Rabbi of Chabad Lubavitch in Helsinki was priceless:


Rabbi Wolff: “You obviously know a lot about the Finnish Language. When did you first arrive here?”

Jared: (with a smile) “…just a couple of hours ago…”


Only last night did I hear for the I-stopped-counting-how-many-th time that Finnish is super-hard. There is one thing in common with everyone that I hear this from:

None of them have tried!

Interestingly even for a few people who learned about twenty words of the language, they don’t find it especially difficult—just different.

I’ve had significant struggles with language grammars. Modern Greek’s future tense system gave me nightmares. The Hebrew binyanim became something I never wanted to think about. And then there was Finnish’s lesser-known relative, Northern Sami, which had consonant shifts across the board that I still struggle with.

I can tell who is informed about the Finnish Language if he or she uses one word to describe it: logical. Some have even said that it is a language that is possible for an outsider to learn perfectly (I would never say this about American English).

The grammar does take some effort to learn, but I found that in comparison to the grammar of Modern Greek and Modern Hebrew especially (not also to mention those of the ancient languages that I had forgotten), Finnish was an easy ride. It is true that there are about thirty-five different noun categories for declination (Greenlandic only has ten). Most of these are intuitive, however, and I couldn’t have said the same thing about anything regarding, let’s say, Classical Greek.

And then we get to the second part about what I constantly hear from outsiders about the Finnish language:

“lots of cases”

I always counter this with the following: “most of them are straight-up prepositions”

In the Slavic Languages that I have learned (Russian, Polish, and one Czech lesson), when there is a preposition, there is a case that goes with it:


“Polska” = Poland, “w Polsce” = in Poland.


Now note the equivalent in Finnish:


”Puolassa” = in Poland


The information about the preposition is contained within the case itself.

When I was first immersing myself in Finnish, I found it difficult to absorb native material because I felt that my brain was trying to watch a ball being thrown back and forth by professional athletes with unnatural reflexes. Namely—I couldn’t absorb all of the case information very quickly.

This, too, comes with practice. And this brings me to my next point about the Finnish Language:

As the accent is always on the first syllable, distinguishing words in spoken speech is very easy.

Even if you are relatively inexperienced, you can use this principle in order to type in words you hear into Google Translate just by hearing them.

The Finnish Language, in comparison to others that I have heard, is spoken slowly.

I’ve noticed very much the same in most instances of spoken Swedish as well.  This definitely isn’t Brazilian Portuguese or Andalusian Spanish that you are dealing with.

Maybe FinnAir stewardesses speak very quickly sometimes, but most of the time, I have noticed a significantly slower tempo—in both spoken speech and in the media.

Are you afraid of learning a language because people speak too quickly and that you can’t make out the words? Both problems solved! Just choose the Finnish Language.

There is only one real difficulty, however, and that is the fact that most words are not Indo-European at all. Never fear, there are a handful of Swedish import words (luvata = att lova = to promise), German idiomatic structures (pääkaupunki = Hauptstadt = capital city), internationalisms (dramaattinen, poliittinen), and English words (rooli, mestari).

Aside from that? Mostly it is an issue of getting out the flash cards, or the right software to assist with your memory. But you can do it!

You would have to be doing memorization like this anyway. I don’t see people complaining that Hebrew is an extraordinarily difficult language, and I know why not: it is more commonly studied.

Another reason why some people might believe Finnish to be difficult is because of the long- and short-vowels. The difference between these two sentences is well-known, and this paradigm was my first-ever exposure to the Finnish Language, back in 2008:

Minä tapaan sinut huomenna ´= I will meet you tomorrow

Minä tapan sinut huomenna = I will kill you tomorrow

Back when I was younger I was ready to give up right then. There would be no way I could manage anything like that! Or so I thought…

But one thing that I didn’t think about was this: I played lots of piano at the time and it never occurred to me that it was merely an issue of holding a note for longer. That is the same difference you would find between the long and the short vowels, not also to mention the long and the short consonants (valita = to choose, vallita = to govern).

Both of them, just like everything else in a language, takes time getting used to—and you’re not going to get people angry by accidentally using the short vowel when the long one should be used. Context is a wonderful thing, isn’t it?

Therefore, pronunciation isn’t actually a problem. In both Finnish and Hungarian I have heard that is it quite easy to sound like a genuine speaker (I still have yet to have extended experiences with Estonian and Northern Sami, not to mention the other Finno-Ugric Languages). My friends who would struggle with a few words of a Scandinavian Language like Norwegian could easily pronounce Finnish words with no difficulty.

I am not exaggerating when I say that Finnish pronunciation could very well be easier than that of Esperanto.

Then there is the issue that the written language is quite different from the spoken one, but start with the spoken language and then you will be able to read the billboards and even the newspapers with enough discipline and practice. The difference between the two sides of this language is no different than between the spoken and the written German Language.

And here’s a secret: the German Language and the Finnish Language, despite their differences, are very similar idiomatically!

Even better: almost everything you will need to become fluent is contained in one site:

That isn’t to say that you shouldn’t use other resources—hearing the language is essential, and my progress in the language would have been impossible without it. There is lots of material to be found, American children’s classics included.

And here’s the best part: even if you learn the language to an “okay” or even rudimentary level, the mythology that the Finnish Language is extraordinarily hard means that you will command respect from people, most of who have never tried!

Aren’t you excited?