Hi Leila,
From the top of my head, I can think of this paper only I've read a while
ago:
https://eprints.soton.ac.uk/403386/1/tweb_gottschalk_demidova_multiwiki.pdf
I assume what is to be considered is the (lack of) content overlap of
articles in different languages in general as of, for example,
http://dl.acm.org/citation.cfm?id=1753370 which also compares different
language Wikipedias but more in the sense of completeness.
Sounds like interesting work, looking forward to seeing what you come up
with!
All the best,
Lucie
On 30 August 2017 at 00:13, Leila Zia wrote:
> Hi Scott,
>
>
> On Mon, Aug 28, 2017 at 2:01 AM, Scott Hale
> wrote:
> > Dear Leila,
> >
> > ==Question==
> >> Do you know of a dataset we can use as ground truth for aligning
> >> sections of one article in two languages?
> >>
> >
> > This question is super interesting to me. I am not aware of any ground
> > truth data, but could imagine trying to build some from
> > [[Template:Translated_page]]. At least on enwiki it has a "section"
> > parameter that is to be set:
>
> nice! :) Thanks for sharing it. It is definitely worth looking into
> it. I did some search across a few languages and the usage of it is
> limited, in es, around 600, for example and once you start slice and
> dicing it, the labels become too few. but still, we may be able to use
> it now or in the future.
>
> >> ==Context==
> >> As part of the research we are doing to build recommendation systems
> >> that can recommend sections (or templates) for already existing
> >> Wikipedia articles, we are looking at the problem of section alignment
> >> between languages, i.e., given two languages x and y and two version
> >> of article a in these two languages, can an algorithm (with relatively
> >> high accuracy) tell us which section in the article in language x
> >> correspond to which other section in the article in language y?
> >>
> >
> >
> > While I am not aware of research on Wikipedia section alignment per se,
> > there is a good amount of work on sentence alignment and building
> > parallel/bilingual corpora that seems relevant to to this [1-4]. I can
> > imagine an approach that would look for near matches across two Wikipedia
> > articles in different languages and then examine the distribution of
> these
> > sentences within sections to see if one or more sections looked to be
> > omitted. One challenge is the sub-article problem [5], which of course
> you
> > are already familiar. I wonder whether computing the overlap in article
> > links a la Omnipedia [6] and then examining the distribution of these
> > between sections would work and be much less computationally intensive. I
> > fear, however, that this could over identify sections further down an
> > article as missing given (I believe) that article links are often
> > concentrated towards the beginning of an article.
>
> exactly.
>
> a side note: we are trying to stay away, as much as possible, from
> research/results that rely on NLP techniques as the introduction of
> NLP will usually translate relatively quickly to limitations on what
> languages our methodologies can scale to.
>
> Thanks, again! :)
>
> Leila
>
> >
> > [1] Learning Joint Multilingual Sentence Representations with Neural
> > Machine Translation. 2017
> > https://arxiv.org/abs/1704.04154
> >
> > [2] Fast and Accurate Sentence Alignment of Bilingual Corpora. 2002.
> > https://www.microsoft.com/en-us/research/publication/fast-
> and-accurate-sentence-alignment-of-bilingual-corpora/
> >
> > [3] Large scale parallel document mining for machine translation. 2010.
> > http://www.aclweb.org/anthology/C/C10/C10-1124.pdf
> >
> > [4] Building Bilingual Parallel Corpora Based on Wikipedia. 2010.
> > http://www.academia.edu/download/39073036/building_
> bilingual_parallel_corpora.pdf
> >
> > [5] Problematizing and Addressing the Article-as-Concept Assumption in
> > Wikipedia. 2017
> > http://www.brenthecht.com/publications/cscw17_subarticles.pdf
> >
> > [6] Omnipedia: Bridging the Wikipedia Language Gap. 2012.
> > http://www.brenthecht.com/papers/bhecht_CHI2012_omnipedia.pdf
> >
> > Best wishes,
> > Scott
> >
> > --
> > Dr Scott Hale
> > Senior Data Scientist
> > Oxford Internet Institute, University of Oxford
> > Turing Fellow, Alan Turing Institute
> > http://www.scotthale.net/
> > scott.h...@oii.ox.ac.uk
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