Moses-support Digest, Vol 145, Issue 1

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Today's Topics:

1. German tokenizer may fail with numeric endings (Ozan ?a?layan)
2. PhD position in Neural Machine Translation (CIS, LMU Munich),
German required (Alexander Fraser)
3. Postdoc position in Neural Machine Translation (CIS, LMU
Munich) (Alexander Fraser)


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Message: 1
Date: Mon, 5 Nov 2018 19:07:46 +0100
From: Ozan ?a?layan <ozancag@gmail.com>
Subject: [Moses-support] German tokenizer may fail with numeric
endings
To: moses-support@mit.edu
Message-ID:
<CAFub=KQfB9NU83MLiCVm1uBnK2eq-qAMnds1tGg7k0aQ3s1tJQ@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

Hello,

I just discovered that the German tokenizer does not split the final <dot>
if preceded by a number. This is because of the nonbreaking prefixes file
which lists ordinals in the form '<number>.'. Since the list is between
1-99, for numbers > 99, the tokenizer works correctly. Here's a sentence
from europarl:

$ echo 'Sie akzeptiert im Prinzip die ?nderungsantr?ge 5 und 6 und voll die
?nderungsantr?ge 2 und *3.*' | tokenizer.perl -q -l de
Sie akzeptiert im Prinzip die ?nderungsantr?ge 5 und 6 und voll die
?nderungsantr?ge 2 und *3.*

$ echo 'Sie akzeptiert im Prinzip die ?nderungsantr?ge 5 und 6 und voll die
?nderungsantr?ge 2 und *100.*' | tokenizer.perl -q -l de
Sie akzeptiert im Prinzip die ?nderungsantr?ge 5 und 6 und voll die
?nderungsantr?ge 2 und *100 .*



--
Ozan Caglayan
PhD student @ University of Le Mans
Team LST -- Language and Speech Technology
http://www.ozancaglayan.com
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Message: 2
Date: Tue, 6 Nov 2018 17:36:24 +0100
From: Alexander Fraser <fraser@cis.uni-muenchen.de>
Subject: [Moses-support] PhD position in Neural Machine Translation
(CIS, LMU Munich), German required
To: ml-news@googlegroups.com, mt-list@eamt.org, moses-support
<moses-support@mit.edu>, corpora@uib.no
Message-ID:
<CADaL4v3NTOWJOAwy_m2JMK88g8hVDHU5+d_i++b8UkUf9jNN_A@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

I am expanding my research group, which is located at the Center for
Information and Language Processing at the University of Munich (LMU).

This is a fully funded position for doing a PhD on my ERC Starting Grant.
Unlike most other positions in my research group, it requires strong
knowledge of German.

Candidates will focus on cutting edge research into using deep learning
techniques to solve machine translation (neural machine translation). The
group is a well-known machine translation research group with strong
interests in related natural language problems. The working language of the
group is English, but the research topic for this particular position
requires knowledge of German, as the focus will be on integrating
linguistic information into neural machine translation for translation to
and from German.

Candidates will have possibilities to teach, supervise bachelors/masters
students, and to collaborate on grant applications.

CIS has an active community working on cutting-edge natural language
processing. There will be significant interaction with the research groups
of Hinrich Sch?tze (deep learning and a variety of NLP problems) and Helmut
Schmid (neural machine translation, parsing, tagging, morphology). We also
have several active collaborations with colleagues at other universities.

The University of Munich is one of the top research universities in Europe.
It was the highest ranked institution on several measures in the
Exzellenzinitiative funding program organized by the German national
science foundation in 2012.

Munich and the Upper Bavaria area are among the regions in Europe with the
highest quality of living. The area is also home to a large number of
high-tech, service and manufacturing companies, including many that use NLP
technology.

If you are interested in applying please send me:
* a cover letter. Clearly indicate which position you are applying for and
include possible starting dates.
* a CV
* a statement of research interests
* the names and addresses of two references
* transcripts

The deadline for applications for this position is November 23rd, 2018.
Note that a Masters degree in a relevant subject is required.

LMU is an equal opportunity employer and is committed to increasing the
diversity of its staff. We strongly encourage applications from qualified
women. Applicants with disabilities will be given preference in case of
equally qualified candidates.

Thanks,
Alexander Fraser
--
Prof. Dr. Alexander Fraser
University of Munich (LMU)
Center for Information and Language Processing
Oettingenstrasse 67
80538 Munich
Germany

Email: fraser@cis.uni-muenchen.de
Web: http://www.cis.uni-muenchen.de/~fraser
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Message: 3
Date: Tue, 6 Nov 2018 17:38:25 +0100
From: Alexander Fraser <fraser@cis.uni-muenchen.de>
Subject: [Moses-support] Postdoc position in Neural Machine
Translation (CIS, LMU Munich)
To: ml-news@googlegroups.com, mt-list@eamt.org, moses-support
<moses-support@mit.edu>, corpora@uib.no
Message-ID:
<CADaL4v2oAo-J3EazPOS-YjsCTByGUymwu7MT0DTS-HL74c7N9w@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

I am expanding my research group, which is located at the Center for
Information and Language Processing at the University of Munich (LMU).

This is a postdoc level position and it currently has one year of full-time
funding from my ERC Starting Grant.

Candidates will focus on cutting edge research into using deep learning
techniques to solve machine translation (neural machine translation). The
group is a well-known machine translation research group with strong
interests in related natural language problems. The working language of the
group is English, no knowledge of German is required. The three main
focuses of the group are in neural machine translation: 1) domain
adaptation 2) adding linguistic information to character NMT 3)
unsupervised NMT.

Candidates will have possibilities to teach, supervise bachelors/masters
students, and to collaborate on grant applications.

CIS has an active community working on cutting-edge natural language
processing. There will be significant interaction with the research groups
of Hinrich Sch?tze (deep learning and a variety of NLP problems) and Helmut
Schmid (neural machine translation, parsing, tagging, morphology). We also
have several active collaborations with colleagues at other universities.

The University of Munich is one of the top research universities in Europe.
It was the highest ranked institution on several measures in the
Exzellenzinitiative funding program organized by the German national
science foundation in 2012.

Munich and the Upper Bavaria area are among the regions in Europe with the
highest quality of living. The area is also home to a large number of
high-tech, service and manufacturing companies, including many that use NLP
technology.

If you are interested in applying please send me:
* a cover letter. Clearly indicate which position you are applying for and
include possible starting dates.
* a CV
* a short research plan addressing past, current and future interests
* a brief statement of teaching experience and interest
* the names and addresses of two references

Please submit applications for this position as soon as possible, it is
open until filled. This particular position requires a PhD with extensive
experience in neural machine translation or a closely related problem
involving machine learning, candidates with other backgrounds cannot be
considered.

LMU is an equal opportunity employer and is committed to increasing the
diversity of its staff. We strongly encourage applications from qualified
women. Applicants with disabilities will be given preference in case of
equally qualified candidates.

Thanks,
Alexander Fraser
--
Prof. Dr. Alexander Fraser
University of Munich (LMU)
Center for Information and Language Processing
Oettingenstrasse 67
80538 Munich
Germany

Email: fraser@cis.uni-muenchen.de
Web: http://www.cis.uni-muenchen.de/~fraser
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End of Moses-support Digest, Vol 145, Issue 1
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