Agree! I also wonder if translators adapt to specific errors if they are repeated to often. I wonder if it works like priming the brain to a specific pattern.
On Wed, May 3, 2017 at 1:15 PM, Lodewijk lodewijk@effeietsanders.org wrote:
Reading this, I get a strong impression the problem may very well be in setting expectations for the users of this translation tool. If they expect the automated translation to be rather good, they may get fed up more easily than when they consider it primarily a glorified dictionary.
Lodewijk
On Wed, May 3, 2017 at 1:06 PM, David Cuenca Tudela dacuetu@gmail.com wrote:
Perhaps it would be a good idea to compare the translated text to the
text
that the user wants to save.
If they are more than 95% the same, that means that the user didn't take the effort to correct the text.
Cheers, Micru
On Wed, May 3, 2017 at 10:31 AM, Wojciech Pędzich wpedzich@gmail.com wrote:
It does depend a lot on the engagement level of the human behind the keyboard. When I deal with machine-translated text, I simply wonder
whether
the someone behind the keyboard took efforts to actually read the
piece.
Now whether this would work if limited to namespaces outside "main" - I
do
not want to demonise the issue, but if the person submitting the text
for
machine translation does not read it, what will stop them from a quick ctrl+c / ctrl+v? Just asking.
Wojciech
W dniu 2017-05-03 o 09:33, Yaroslav Blanter pisze:
Creating machine translations only in the draft space (or in the user
space
in the projects which do not have draft) could help.
Cheers Yaroslav
On Tue, May 2, 2017 at 10:16 PM, Pharos <pharosofalexandria@gmail.com
wrote:
I think it all depends on the level of engagement of the human
translator.
When the tool is used in the right way, it is a fantastic tool.
Maybe we can find better methods to nudge people toward taking their
time
and really doing work on their translations.
Thanks, Pharos
On Tue, May 2, 2017 at 4:09 PM, Bodhisattwa Mandal < bodhisattwa.rgkmc@gmail.com> wrote:
Content translation with Yandex is also a problem in Bengali
Wikipedia.
Some users have grown a tendency to create machine translated meaningless articles with this extension to increase edit count and article
count.
This
has increased the workloads of admins to find and delete those
articles.
Yandex is not ready for many languages and it is better to shut it.
We
don't need it in Bengali.
Regards On May 3, 2017 12:17 AM, "John Erling Blad" jeblad@gmail.com
wrote:
Actually this _is_ about turning ContentTranslation off, that is
what
> several users in the community want. They block people using the > extension
> and delete the translated articles. Use of ContentTranslation has > become
a
> rather contentious case. > > Yandex as a general translation engine to be able to read some
alien
> language is quite good, but as an engine to produce written text it
is
> not
> very good at all. In fact it often creates quite horrible
Norwegian,
> even
for closely related languages. One quite common problem is
reordering
> of
words into meaningless constructs, an other problem is reordering > lexical
gender in weird ways. The English preposition "a" is often
translated
> as
"en" in a propositional phrase, and then the gender is added to the > following phrase. That gives a translation of "Oppland is a county > in…"
into something like "Oppland er en fylket i…" This should be
"Oppland
> er
et fylke i…". > > (I just checked and it seems like Yandex messes up a lot less now
than
> previously, but it is still pretty bad.) > > Apertium works because the language is closely related, Yandex does
not
> work because it is used between very different languages. People
try
to
> use
> Yandex and gets disappointed, and falsely conclude that all
language
> translations are equally weird. They are not, but Yandex
translations
> are
weird. > > The numerical threshold does not work. The reason is simple, the
number
> of
> fixes depends on language constructs that fails, and that is simply > not a
constant for small text fragments. Perhaps if we could flag specific > language constructs that is known to give a high percentage of > failures,
and if the translator must check those sentences. One such language > construct is disappearances between the preposition and the gender
of
> the
following term in a prepositional phrase. If they are not similar,
then
> the
> sentence must be checked. It is not always wrong to write "en
jenta"
in
> Norwegian, but it is likely to be wrong. > > A language model could be a statistical model for the language
itself,
> not
> for the translation into that language. We don't want a perfect > language
model, but a sufficient language model to mark weird constructs. A
very
> simple solution could simply be to mark tri-grams that does not > already
exist in the text base for the destination as possible errors. It is > not
necessary to do a live check, but at least do it before the page
can
> be
saved. > > Note the difference in what Yandex do and what we want to achieve; > Yandex
translates a text between two different languages, without any clear > reason
> why. It is not to important if there are weird constructs in the
text,
> as
long as it is usable in "some" context. We translate a text for the > purpose
> of republishing it. The text should be usable and easily readable
in
> that
language. > > > > On Tue, May 2, 2017 at 7:07 PM, Amir E. Aharoni < > amir.aharoni@mail.huji.ac.il> wrote: > > 2017-05-02 18:20 GMT+03:00 John Erling Blad jeblad@gmail.com: >> >> Brute force solution; turn the ContentTranslation off. Really >>> >> stupid
solution. >>> >> >> ... Then I guess you don't mind that I'm changing the thread name
:)
>> >> >> The next solution; turn the Yandex engine off. That would solve a >>> part of the problem. Kind of lousy solution though. >>> >>> What about adding a language model that warns when the language >>> >> constructs >> >>> gets to weird? It is like a "test" for the translation. The CT is >>> >> used
> for >> >>> creating a translation, but the language model is used for >>> >> verifying
if
> the >> >>> translation is good enough. If it does not validate against the >>> >> language > >> model it should simply not be published to the main name space. It >>> >> will
> still be possible to create a draft, but then the user is >>> >> completely
aware >> >>> that the translation isn't good enough. >>> >>> Such a language model should be available as a test for any >>> >> article,
as
> it >> >>> can be used as a quality measure for the article. It is really a >>> >> quantity > >> measure for the well-spokenness of the article, but that isn't >>> >> quite
so
> intuitive. >>> >>> So, I'll allow myself to guess that you are talking about one >> > particular
> language, probably Norwegian. >> >> Several technical facts: >> >> 1. In the past there were several cases in which translators to >> > different
> languages who reported common translation mistakes to me. I passed >> > them
on > >> to Yandex developers, with whom I communicate quite regularly.
They
>> acknowledged receiving all of them. I am aware of at least one
such
>> > common > >> mistake that was fixed; possibly there were more. If you can give
me
>> > a
list > >> of such mistakes for Norwegian, I'll be very happy to pass them
on.
I
>> absolutely cannot promise that they will be fixed upstream, but
it's
>> possible. >> >> 2. In Norwegian, Apertium is used for translating between the two >> > varieties > >> of Norwegian itself (Bokmål and Nynorsk), and from other
Scandinavian
>> languages. That's probably why it works so well—they are similar
in
>> grammar, vocabulary, and narrative style (I'll pass it on to
Apertium
>> developers—I'm sure they'll be happy to hear it). Unfortunately, >> > machine
> translation from English is not available in Apertium. Apertium
works
>> > best > >> with very similar languages, and English has two characteristics, >> > which
are > >> unfortunate when combined: it is both the most popular source for >> translation into almost all other languages (including Norwegian), >> > and
it
> is not _very_ similar to any other languages (except maybe Scots). >> > Machine > >> translation from English into Norwegian is only possible with
Yandex
>> > at
the > >> moment. More engines may be added in the future, but at the moment >> > that's
> all we have. That's why disabling Yandex completely would indeed
be a
>> > lousy > >> solution: A lot of people say that without machine translation >> > integration > >> Content Translation is useless. Not all users think like that, but >> > many
do. > >> 3. We can define a numerical threshold of acceptable percentage of >> > machine > >> translation post-editing. Currently it's 75%. It's a tad >> > embarrassing,
but > >> it's hard-coded at the moment, but it can be very easily be made >> > into a
variable per language. If the translator tries to publish a page in >> > which
> less than that is modified, a warning will be shown. >> >> 4. I'm not sure what do you mean by "language model". If it's any >> > kind
of a > >> linguistic engine, then it's definitely not within the resources
that
>> > the
> Language team itself can currently dedicate. However, if somebody
who
>> > knows > >> Norwegian and some programming will write a script that analyzes >> > common
bad > >> constructs in a Wikipedia dump, this will be very useful. This
would
>> basically be an upgraded version of suggestion #1 above. (In my
spare
>> > time > >> as a volunteer I'm doing something comparable for Hebrew, although >> > not
for > >> translation, but for improving how MediaWiki link trails work.) >> _______________________________________________ >> Wikimedia-l mailing list, guidelines at:
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