Moses-support Digest, Vol 122, Issue 11

Send Moses-support mailing list submissions to
moses-support@mit.edu

To subscribe or unsubscribe via the World Wide Web, visit
http://mailman.mit.edu/mailman/listinfo/moses-support
or, via email, send a message with subject or body 'help' to
moses-support-request@mit.edu

You can reach the person managing the list at
moses-support-owner@mit.edu

When replying, please edit your Subject line so it is more specific
than "Re: Contents of Moses-support digest..."


Today's Topics:

1. First Call for Participation: WMT17 Machine Translated
related Shared Tasks (Barry Haddow)
2. integration of efmaral word alignment in Moses pipeline/EMS
(Jorg Tiedemann)
3. Re: integration of efmaral word alignment in Moses
pipeline/EMS (Matt Post)


----------------------------------------------------------------------

Message: 1
Date: Tue, 6 Dec 2016 22:23:35 +0000
From: Barry Haddow <bhaddow@staffmail.ed.ac.uk>
Subject: [Moses-support] First Call for Participation: WMT17 Machine
Translated related Shared Tasks
To: "moses-support@mit.edu" <moses-support@mit.edu>
Message-ID: <89978ce5-289f-844d-b3ba-e8a9a84c6764@staffmail.ed.ac.uk>
Content-Type: text/plain; charset="utf-8"

EMNLP 2017 SECOND CONFERENCE ON MACHINE TRANSLATION (WMT17)
Shared Tasks on translation, evaluation, training and automated
post-editing.

http://www.statmt.org/wmt17/index.html
September 7-8 2017, in conjunction with EMNLP 2017 in Copenhagen, Denmark

As part of WMT, as in previous years, we will be organising a collection
of shared tasks related to machine translation. We hope that both
beginners and established research groups will participate. This year we
have so far confirmed the following tasks

- Translation tasks
- News
- Biomedical
- Multimodal
- Evaluation tasks
- Metrics
- Quality estimation
- Other tasks
- Bandit learning
- Neural MT training
- Automatic post-editing

Further information, including task rationale, timetables and data will
be posted on the WMT17 website, in time for the task launches in
January/February. Intending participants are encouraged to register
with the mailing list for further announcements
(https://groups.google.com/forum/#!forum/wmt-tasks)

For all tasks, participants will also be invited to submit a short
paper describing their system.


Best wishes
Barry Haddow
(On behalf of the organisers)







-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://mailman.mit.edu/mailman/private/moses-support/attachments/20161206/ccfb0c95/attachment-0001.html
-------------- next part --------------
An embedded and charset-unspecified text was scrubbed...
Name: not available
Url: http://mailman.mit.edu/mailman/private/moses-support/attachments/20161206/ccfb0c95/attachment-0001.pl

------------------------------

Message: 2
Date: Wed, 7 Dec 2016 09:50:28 +0200
From: Jorg Tiedemann <tiedeman@gmail.com>
Subject: [Moses-support] integration of efmaral word alignment in
Moses pipeline/EMS
To: moses-support <moses-support@mit.edu>
Message-ID: <4696C412-E04C-4D5A-A84B-66526A61ADB6@gmail.com>
Content-Type: text/plain; charset=utf-8


efmaral and eflomal are efficient Markov chain word aligners using Gibbs sampling that can be used to replace GIZA++/fast_align in the typical Moses training pipelines:

https://github.com/robertostling/efmaral
https://github.com/robertostling/eflomal

Would anyone be interested in adding support in the Moses pipelines and experiment.perl?
Input and output formats are compatible with fast_align and Moses formats.

The tools could also be mentioned at statmt.org/moses

All the best,
J?rg

?????????????????????????????????
J?rg Tiedemann
Department of Modern Languages
University of Helsinki
http://blogs.helsinki.fi/language-technology/
?????????????????????????????????








------------------------------

Message: 3
Date: Wed, 7 Dec 2016 09:07:41 -0500
From: Matt Post <post@cs.jhu.edu>
Subject: Re: [Moses-support] integration of efmaral word alignment in
Moses pipeline/EMS
To: Jorg Tiedemann <tiedeman@gmail.com>
Cc: moses-support <moses-support@mit.edu>
Message-ID: <18013713-650E-4D94-AF60-908E92A1AFB1@cs.jhu.edu>
Content-Type: text/plain; charset=utf-8

Hi,

>From the GitHub pages it appears that eflomal supercedes efmaral ? is there any purpose therefore in using efmaral? Also, the linked PBML paper has no mention of eflomal ? how does it perform in downstream BLEU tasks? Is it comparable to what you reported in Table 4?

matt


> On Dec 7, 2016, at 2:50 AM, Jorg Tiedemann <tiedeman@gmail.com> wrote:
>
>
> efmaral and eflomal are efficient Markov chain word aligners using Gibbs sampling that can be used to replace GIZA++/fast_align in the typical Moses training pipelines:
>
> https://github.com/robertostling/efmaral
> https://github.com/robertostling/eflomal
>
> Would anyone be interested in adding support in the Moses pipelines and experiment.perl?
> Input and output formats are compatible with fast_align and Moses formats.
>
> The tools could also be mentioned at statmt.org/moses
>
> All the best,
> J?rg
>
> ?????????????????????????????????
> J?rg Tiedemann
> Department of Modern Languages
> University of Helsinki
> http://blogs.helsinki.fi/language-technology/
> ?????????????????????????????????
>
>
>
>
>
>
> _______________________________________________
> Moses-support mailing list
> Moses-support@mit.edu
> http://mailman.mit.edu/mailman/listinfo/moses-support




------------------------------

_______________________________________________
Moses-support mailing list
Moses-support@mit.edu
http://mailman.mit.edu/mailman/listinfo/moses-support


End of Moses-support Digest, Vol 122, Issue 11
**********************************************

Tweet