Moses-support Digest, Vol 82, Issue 19

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Today's Topics:

1. Binarizing Issue (Heidi Heweidy)
2. Re: Binarizing Issue (Hieu Hoang)
3. MA Language and Information Processing at the University of
Wolverhampton (Wilker Aziz)


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Message: 1
Date: Fri, 16 Aug 2013 11:51:39 +0200
From: Heidi Heweidy <heidi.heweidy@gmail.com>
Subject: [Moses-support] Binarizing Issue
To: moses-support@mit.edu
Message-ID:
<CAPTVFg+RQifCCz4eNOgatqWG2+wR-GsAibCTQ0GovcErXdADaQ@mail.gmail.com>
Content-Type: text/plain; charset="iso-8859-1"

I am setting up a french english system as in the online guide.
Everything was fine until I reached:

Then make a copy of the ~/working/mert-work/moses.ini in the
binarised-model directory and change the phrase and reordering tables to
point to the binarised versions, as follows:

1. Change PhraseDictionaryMemory to PhraseDictionaryBinary
2. Set the path of the PhraseDictionary feature to point to
$HOME/working/binarised-
model/phrase-table
3. Set the path of the LexicalReordering feature to point to
$HOME/working/binarised-
model/reordering-table


I cant find PhraseDictionaryMemory ! And when I decided to discard this
step, I got an exception even though I changed the LexicalReordering
[ttable] to 1 0 0 5 /home/tjr/working/binarised-model/phrase-table instead
of 0 0 0 5 /home/tjr/working/train/model/phrase-table.gz

I also tried to put this instead of the above but it was no good:
PhraseDictionaryBinary num-features=5
path=/home/tjr/working/binarised-model/phrase-table.gz input-factor=0
output-factor=0

The exception I get is:
Exception: util/file.cc:63 in int util::OpenReadOrThrow(const char*) threw
ErrnoException because `-1 == (ret = open(name, 00))'.
No such file or directory while opening /home/tjr/working/binarised
-model/phrase-table

I know it is a problem of versions but I cant figure a way to recover from
this issue.
Thanks in advance :)
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Message: 2
Date: Fri, 16 Aug 2013 12:36:41 +0100
From: Hieu Hoang <Hieu.Hoang@ed.ac.uk>
Subject: Re: [Moses-support] Binarizing Issue
To: Heidi Heweidy <heidi.heweidy@gmail.com>
Cc: moses-support <moses-support@mit.edu>
Message-ID:
<CAEKMkbjjT5QrPjJ+tfRGaXvJ5oo4NPun80Y-8HkgamhY=XjJ6A@mail.gmail.com>
Content-Type: text/plain; charset="iso-8859-1"

Hi Heidi

Can you please send me the original (unchanged) version of moses.ini you
have, and the version you changed it to.

The format of the ini file has changed in the last few months. The online
guide was updated to reflect the new format. You are probably using the old
version and are mixing instructions for new and old format.

To get the old online guide, please see this link
http://web.archive.org/web/20130529163920/http://www.statmt.org/moses/





On 16 August 2013 10:51, Heidi Heweidy <heidi.heweidy@gmail.com> wrote:

> I am setting up a french english system as in the online guide.
> Everything was fine until I reached:
>
> Then make a copy of the ~/working/mert-work/moses.ini in the
> binarised-model directory and change the phrase and reordering tables to
> point to the binarised versions, as follows:
>
> 1. Change PhraseDictionaryMemory to PhraseDictionaryBinary
> 2. Set the path of the PhraseDictionary feature to point to $HOME/working/binarised-
> model/phrase-table
> 3. Set the path of the LexicalReordering feature to point to $HOME/working/binarised-
> model/reordering-table
>
>
> I cant find PhraseDictionaryMemory ! And when I decided to discard this
> step, I got an exception even though I changed the LexicalReordering
> [ttable] to 1 0 0 5 /home/tjr/working/binarised-model/phrase-table
> instead of 0 0 0 5 /home/tjr/working/train/model/phrase-table.gz
>
> I also tried to put this instead of the above but it was no good:
> PhraseDictionaryBinary num-features=5
> path=/home/tjr/working/binarised-model/phrase-table.gz input-factor=0
> output-factor=0
>
> The exception I get is:
> Exception: util/file.cc:63 in int util::OpenReadOrThrow(const char*)
> threw ErrnoException because `-1 == (ret = open(name, 00))'.
> No such file or directory while opening /home/tjr/working/binarised
> -model/phrase-table
>
> I know it is a problem of versions but I cant figure a way to recover from
> this issue.
> Thanks in advance :)
>
> _______________________________________________
> Moses-support mailing list
> Moses-support@mit.edu
> http://mailman.mit.edu/mailman/listinfo/moses-support
>
>


--
Hieu Hoang
Research Associate
University of Edinburgh
http://www.hoang.co.uk/hieu
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Message: 3
Date: Fri, 16 Aug 2013 15:33:09 +0100
From: Wilker Aziz <will.aziz@gmail.com>
Subject: [Moses-support] MA Language and Information Processing at the
University of Wolverhampton
To: Moses <moses-support@mit.edu>
Message-ID:
<CA+=Luv8pBtJyV67m1qnZZVeMm9VzeS=Ei9ZBr=mgoQ5vBEPy-g@mail.gmail.com>
Content-Type: text/plain; charset="windows-1252"

(apologies for cross-posting)

*MA Language and Information Processing at the University of Wolverhampton*

The University of Wolverhampton is offering a Master?s course in Language
and Information Processing at the world-renowned Research Group in
Computational Lingustics (part of the Research Institute in Information and
Language Processing).



Full-time 12 months

Part-time 24 months

Start date 14/10/2013

The Masters course in Language and Information Processing is aimed at
students from linguistics, computational linguistics, translation,
languages, computer science and mathematics backgrounds.

The duration of the course is 12 months full-time (or 2-4 years part-time)
and it gives students valuable hands-on experience through lab-based
practical sessions as well as a solid theoretical grounding via lectures.

The modules offered in this programme focus on different areas within
language and information processing, ranging from computational linguistics
and programming to translation tools and Cybermetrics.

Graduates of the course will be well-placed to continue their studies at
PhD level and to access positions in the language and information
processing and related industries.

The programme runs alongside the Erasmus Mundus Masters in Natural Language
Processing & Human Language Technology, which starts in September.

*Employability*

As the teaching on the course is based on research carried out within the
Research Institute in Information and Language Processing (RIILP),
graduates will be well-placed to continue their academic/research careers
by applying for PhD positions within RIILP or at other leading centres for
language and information processing. This degree will also enable graduates
to access research and development positions within the natural language
processing and human language technology industry, as well as in related
areas such as translation, software development and information and
communication technologies, depending on their specific module choices and
dissertation topic.

Our modules teach students not only the theoretical basis of subjects, but
also transferable practical skills, such as programming and
developing/using tools for language processing, which are necessary for
working in industry as well as for continuing in academia.

*Content*

The course will cover module topics such as:

? Computational Linguistics,

? Programming for Corpus Linguistics,

? Machine Translation and other NLP Applications,

? Translation tools for Professional Translators and Introduction to
Cybermetrics.

Students will also undertake an independent dissertation project and other
research-related modules. As well as participating in the obligatory
lectures students will have the opportunity to take part in a vibrant
research environment and will be given the chance to become involved in
various research projects. Attendance at visiting lecturers'
seminars/internal reading groups and various other research activities will
support and enhance their studies.

*Entry Requirements*

A good undergraduate degree (minimum classification 2.1) in a related
subject such as computational linguistics, linguistics, translation,
languages, computer science, mathematics and information sciences. Some
experience with linguistics or computational linguistics is desirable. For
non-native English speakers a language certificate showing a level of IELTS
6.0 or above.

*Outcomes*

The programme will give students the opportunity to develop a range of
postgraduate knowledge and skills. By the end of the course, students will
be expected to demonstrate a confident understanding of theoretical issues,
conceptual analysis of some sophistication and independent thinking over a
sustained piece of work through the writing of conventional critical
essays, portfolios of analyses and research exercises, and delivery of oral
presentations. More generally, students will develop their practical,
professional and research skills, as well as their intellectual and
postgraduate generic skills, through meeting the learning outcomes of
modules.

The dissertation provides an opportunity to consolidate knowledge and
skills and focus them on a specific area of research interest. Graduates of
the proposed course will meet national and international employment needs
in industries such as translation, language technology, software
development and information and communication technologies.

*Why Wolverhampton?*

Our modules teach students not only the theoretical basis of subjects, but
also practical, transferable skills such as programming and using tools
related to language processing, necessary for working in industry as well
as in academia.

The modules delivered by Research Institute in Information and Language
Processing (RIILP) staff are underpinned by research carried out within the
Computational Linguistics and Cybermetrics groups. Both groups have built
an international reputation for research excellence, and are committed to
delivering practical (including commercial) applications based on their
research findings. All staff teaching modules are engaged in high-quality
research, as evidenced by the latest RAE results.

*Fees (2013/4)*

Home/EU:

Full time ?5,410

Part time ?2,705

International:

Full time ?11,275

These fees are applicable for new entrants in 2013/4. Fees are for the
academic year only, any subsequent years may be subject to an annual
increase, usually in line with inflation.

The University also offers a postgraduate loyalty discount: If you have
completed an undergraduate degree at the University of Wolverhampton, you
may be eligible for a 20% discount on the first year of a taught
postgraduate programme.

For information on the course, and to apply, please visit *
http://courses.wlv.ac.uk/course.asp?code=WL009P34UVD*

For more information on the Research Institute in Information and Language
Processing, please visit *
http://courses.wlv.ac.uk/course.asp?code=WL009P34UVD*

If you have any enquiries, please contact *Stephanie Kyle (
StephanieKyle@wlv.ac.uk)* or *Emma Franklin (emma.franklin@wlv.ac.uk)*.

--
Wilker Aziz
http://pers-www.wlv.ac.uk/~in1676/

PhD candidate at The Research Group in Computational Linguistics
Research Institute of Information and Language Processing (RIILP)
University of Wolverhampton
MB108
Stafford Street
WOLVERHAMPTON WV1 1LY
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End of Moses-support Digest, Vol 82, Issue 19
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