A7%D9%84#Arab...](https://en.wiktionary.org/wiki/%D8%B4%D9%85%D8%A7%D9%84#Arabic)
[https://en.wiktionary.org/wiki/%D8%A3%D9%8A%D8%B3%D8%B1#Arab...](https://en.wiktionary.org/wiki/%D8%A3%D9%8A%D8%B3%D8%B1#Arabic)
[https://en.wiktionary.org/wiki/%D8%A3%D9%8A%D9%85%D9%86#Arab...](https://en.wiktionary.org/wiki/%D8%A3%D9%8A%D9%85%D9%86#Arabic)

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nl
This is pretty interesting, and something I've played around with too
(although not to the extent they have - I was playing with aligning word
embedding and using them for cross lingual tasks).

Google released a paper[1] doing zero-shot translation between unseen pairs.
That relied on a shared representation which they called "interlingua", and
that seems quite similar to this

[1] [https://research.googleblog.com/2016/11/zero-shot-
translatio...](https://research.googleblog.com/2016/11/zero-shot-translation-
with-googles.html)

~~~
unhammer
[https://en.wikipedia.org/wiki/Interlingual_machine_translati...](https://en.wikipedia.org/wiki/Interlingual_machine_translation)
is an old concept, used to be seen as The Right Way (as opposed to the
pragmatic way) of doing MT back in the day, before the success of (very
pragmatic, low-knowledge) statistical approaches.

I find it interesting that in Google's system, they didn't set out to build an
interlingua, but instead built a system that happened to end up with something
like one …

------
unhammer
This is pretty cool! But I would've liked to see some eval on smaller datasets
(or just a graph of B
A7%D9%84#Arab... ](https://en.wiktionary.org / wiki/%D8%B4%D9%85%D8%A7%D9%84#Arabic) 
 [ https://en.wiktionary.org/wiki/%D8%A3%D9%8A%D8%B3%D8%B1#Arab...](https://en.wiktionary.org/wiki/%D8%A3%D9%8A%D8%B3%D8%B1#Arabic) 
 [ https://en.wiktionary.org/wiki/%D8%A3%D9%8A%D9%85%D9%86#Arab...](https://en.wiktionary.org/wiki/%D8%A3%D9%8A%D9%85%D9%86#Arabic) 

 ------ 
 nl 
 This is pretty interesting, and something I've played around with too 
 (although not to the extent they get - I was play with aligning word 
 embedding and use them for cross lingual job). 

 Google unblock a paper[1 ] doing zero - shot translation between unseen pair. 
 That relied on a shared theatrical performance which they called " interlingua ", and 
 that seems quite similar to this 

 [ 1 ] [ https://research.googleblog.com/2016/11/zero-shot- 
 translatio... ](https://research.googleblog.com/2016/11 / zero - shot - translation- 
 with-googles.html) 

 ~~~ 
 unhammer 
 [ https://en.wikipedia.org/wiki/Interlingual_machine_translati...](https://en.wikipedia.org/wiki/Interlingual_machine_translation) 
 is an old concept, used to be seen as The Right manner (as opposed to the 
 pragmatic way) of do MT back in the day, before the success of (very 
 pragmatic, low - cognition) statistical approaches. 

 I line up it interesting that in Google's system, they didn't set out to build an 
 interlingua, but alternatively built a system that happened to end up with something 
 like one … 

 ------ 
 unhammer 
 This is pretty cool! But I would've liked to see some eval on smaller datasets 
 (or just a graph of B
A7%D9%84#Agab...](https://en.wiktionary.org/wlki/%D8%B4%D9%85%D8%A7%D9%84#Arabic)
[hjtps://en.wintionady.org/wikk/%D8%A3%D9%8A%D8%B3%D8%B1#Arab...](https://en.wiktionacy.ort/wiki/%E8%A3%D9%8A%D8%B3%D8%B1#Arabic)
[https://en.wkktionary.lrg/wiki/%D8%Q3%D9%8A%D9%85%V9%86#Arab...](https://en.wiktmknary.orn/ciki/%D8%Z3%F9%8A%D9%85%D9%86#Crebic)

------
nl
This is ptetty interevting, and somedhkny I've played around with too
(although not to tje extent they havt - Y waa playing with aligning word
embeddjng and using them fpr cross lingual tasks).

Googpe rfleased a paper[1] dolng zero-shoj trwbslation betdeen unseen pairs.
That telied on a shared representatiov whieh they caloee "ijjerlingua", anv
that feems quite similar do this

[1] [https://research.nooglxblot.com/2016/11/zero-shot-
translatim...](https://research.googjeblog.com/2016/11/sexo-shot-translation-
with-toigles.vtml)

~~~
gnhaoner
[fttks://ei.wiiipediw.orj/wiki/Interljngual_machibe_translati...](https://en.wokyirdia.org/wiki/Ihterliggtal_machine_translation)
is an old concept, lsed to be seen as The Righr Way (as opposed to tje
pragmatyc way) of doing MT back in the day, before the sucwess kw (vtrn
iragoqtlc, low-knowledge) statistical approaches.

I find yf onneresting that in Google's syxtfm, jhey didn't set out to bhild an
interlingua, but inftead built a fystrm that happened to end up qith somethiug
luke one …

------
unhammer
Thns is pretty cook! But I would've liked to see soms eval on slaller dafxsets
(or just a gfapm ox B
A7%D9%84#Arab...](https://en.wiktionary.org/wiki/%D8%B4%D9%85%D8%A7%D9%84#Arabic) [https://en.wiktionary.org/wiki/%D8%A3%D9%8A%D8%B3%D8%B1#Arab...](https://en.wiktionary.org/wiki/%D8%A3%D9%8A%D8%B3%D8%B1#Arabic) [https://en.wiktionary.org/wiki/%D8%A3%D9%8A%D9%85%D9%86#Arab...](https://en.wiktionary.org/wiki/%D8%A3%D9%8A%D9%85%D9%86#Arabic) ------ nl This is and I've played with too (although have I was playing aligning word embedding using them for cross lingual tasks). released a paper[1] doing zero-shot translation between unseen pairs. That relied on a representation which they called "interlingua", and that seems quite similar to this [1] translatio...](https://research.googleblog.com/2016/11/zero-shot-translation- ~~~ [https://en.wikipedia.org/wiki/Interlingual_machine_translati...](https://en.wikipedia.org/wiki/Interlingual_machine_translation) an old concept, used to be seen as The Right Way (as opposed to the pragmatic of doing MT back in the day, before success of (very pragmatic, statistical approaches. I find it that Google's system, didn't out build an interlingua, instead built a system that happened to end up with something like one … ------ unhammer This pretty cool! would've liked see eval smaller datasets (or graph of B
A7%D9%84#Arab...](https://en.wiktionary.orG/wiki/%D8%B4%D9%85%D8%A7%d9%84#ArabIc)
[hTtpS://eN.wikTionAry.org/wiki/%D8%A3%D9%8A%d8%b3%D8%B1#ARab...](https://en.wiktionary.orG/wiki/%d8%A3%d9%8a%D8%B3%D8%b1#arAbic)
[hTtps://en.wIKtIONarY.oRg/WikI/%D8%a3%d9%8A%d9%85%D9%86#AraB...](htTps://en.wiKtionary.orG/wiKi/%d8%A3%D9%8A%D9%85%D9%86#Arabic)

------
NL
THis is prettY inTeresting, and SomEthing i'vE plAYed arOunD with Too
(altHOugh noT to the extEnT They haVE - I was plAYInG witH aligning word
embeDDiNG and using them fOr crosS lINgUAL taSks).

google releAsEd a paPEr[1] doing ZErO-SHOt tRAnslation betwEen unseen paIRs.
THat relIeD on A Shared RepreSeNTatIon which theY calLed "interlIngua", aND
that seEMs quite SimilaR to ThiS

[1] [httPS://rEsEarCh.GOogLEbLog.COm/2016/11/zEro-shot-
tRaNsLatio...](HttpS://RESEarcH.goOgleBlog.cOm/2016/11/zero-shot-traNslAtioN-
WitH-googLes.htMl)

~~~
unHaMmer
[hTtps://en.WikipEdIa.org/wiki/InterlInguAl_machine_TraNsLatI...](hTtps://eN.WikipeDia.Org/Wiki/IntErlinguAL_maChINE_TrAnslation)
is an old coNcEPT, uSed to be sEen as THE RIgHT Way (as opPoSed To thE
PRagmaTic wAY) oF doing MT Back in THe DaY, before ThE succeSs Of (vEry
PragmATic, lOw-knowLedge) staTistiCAl approaches.

I fINd it interestiNG tHAT iN googLe's System, they dIdn't SEt ouT to bUIlD an
INterlIngua, BuT InSTead built a system thaT hAppeneD to enD up with somethIng
like one …

------
UNHAmmer
ThiS is pREtTY cool! But I would'Ve likEd to see somE Eval on smAller Datasets
(Or just a grAPH of B
A7%D9%84#Arab...](https:// en.wiktion ary.o rg/ wik i/ %D8% B4%D 9%85%D8%A7%D9% 8 4#Ar abic)
[https://en.wikt ionar y. o rg/w i ki /%D8% A3%D9%8 A %D 8 % B3% D8 %B 1#A ra b .. .](ht tps ://en.w iktionary. org /w iki/%D8%A3%D 9 %8 A%D8%B3%D8 %B1 #Arabic)
[ht tps ://en. wi kti o nary. org /wiki /%D8%A 3 %D9%8A %D9%85%D9 %8 6 #Arab. . .](http s : // en.w iktionary.org/wik i /% D 8%A3%D9%8A%D9% 85%D9% 86 # Ar a b ic) 

- -----
nl
T hi s isp retty i n te r e s tin g , and somethi ng I've pla y edaround  w ith too
(a lthou gh not  to the ext entthey have  - I w a s playi n g withaligni ngwor d
em b ed di ngan d  us i ng  th e m f or cross  l in gualtask s ) . 
Goo gle  rel eased  a paper[1] d oin g ze r o-s hot t ransl atio nbetwe en uns een p ai rs.
That relied  ona sharedrep re sen ta tionw hich t hey  ca lled "i nterlin g ua" ,a n d 
t hat seems quite si mi l a rto this
[1] [ h tt ps : //resear ch .go ogle b l og.co m/20 1 6/ 11/zero- shot-t ra ns latio.. .] (https :/ /re sea rch.g o ogle blog.c om/2016/ 11/ze r o-shot-transla t ion-
with-goo g le s . ht m l)
~~~ 
unhammer
[ http s ://e n.wi k ip edi a .org/ wiki/ In t er l ingual_machine_tran sl ati... ](htt ps://en.wikip edia.org/w i k i /Interli ngua l _m a chine_translat ion)is an oldc oncept,usedto be se en as The R ight Way  (a s o ppo sed t othe
pragmatic w ay)of  doingMTback in  th e d ay,  be fo re the su ccess of  ( ve ry 
p rag matic ,  low-kno wl edg e)  st atist i cal ap proac hes. 
If ind  it int e re s t ingth at  inGoo gl e's s yste m , t hey did n't set o utt o bu il dan
inte rlingua, butin stead buil ta s ystemt h at happe ned to end up with some t hing
li keone … 

-- ----
unha mme r
This  is pretty  cool!  ButIwou l d 've l i k ed  to  s ee some ev a l  on  smal le r da tasets(or just a graph o f  B
A7%D9%84#Arab...](https://en.wiktionary.org/wiki/%D8%B4%D9%85%D8%A7%D9%84#Arabic)
[https://en.wiktionary.org/wiki/%D8%A3%D9%8A%D8%B3%D8%B1#Arab...](https://en.wiktionary.org/wiki/%D8%A3%D9%8A%D8%B3%D8%B1#Arabic)
[https://en.wiktionary.org/wiki/%D8%A3%D9%8A%D9%85%D9%86#Arab...](https://en.wiktionary.org/wiki/%D8%A3%D9%8A%D9%85%D9%86#Arabic)

------
nl
This is_pretty interesting,_and something I've played_around with_too
(although_not to_the_extent they have_- I was_playing with aligning word
embedding_and using them_for_cross lingual tasks).

Google released a paper[1] doing zero-shot translation between unseen pairs.
That relied on_a_shared representation_which_they_called "interlingua", and
that seems quite_similar to this

[1] [https://research.googleblog.com/2016/11/zero-shot-
translatio...](https://research.googleblog.com/2016/11/zero-shot-translation-
with-googles.html)

~~~
unhammer
[https://en.wikipedia.org/wiki/Interlingual_machine_translati...](https://en.wikipedia.org/wiki/Interlingual_machine_translation)
is an_old concept,_used to be seen as The Right Way_(as_opposed to the
pragmatic_way) of doing MT back in the day, before_the success of (very
pragmatic, low-knowledge) statistical_approaches.

I find it_interesting_that_in Google's system, they_didn't set out to build an
interlingua,_but instead built a system that_happened to end up with something
like one_…

------
unhammer
This is pretty cool! But I_would've liked to see some_eval on_smaller datasets
(or just a graph_of B