Moses-support Digest, Vol 149, Issue 4

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Today's Topics:

1. Protected Regex in Moses Tokenizer (liling tan)
2. Post-doctoral Researcher Position at the University of Zurich
(Rico Sennrich)
3. Phrase table empty (Kamal Deep Garg)


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Message: 1
Date: Fri, 8 Mar 2019 08:33:23 +0800
From: liling tan <alvations@gmail.com>
Subject: [Moses-support] Protected Regex in Moses Tokenizer
To: moses-support <moses-support@mit.edu>
Message-ID:
<CAKzPaJKOoGZP0dr0RqHMf_ufFfAywow5jAe6fqB8MBRCnxmGoA@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

Dear Moses Dev and Community,

Are there any example protected regex and related text that contains these
patterns that one can test with
https://github.com/moses-smt/mosesdecoder/blob/master/scripts/tokenizer/tokenizer.perl
?

Regards,
Liling
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Message: 2
Date: Fri, 8 Mar 2019 10:20:14 +0000
From: Rico Sennrich <rico.sennrich@ed.ac.uk>
Subject: [Moses-support] Post-doctoral Researcher Position at the
University of Zurich
To: "moses-support@mit.edu" <moses-support@mit.edu>
Message-ID: <642b7455-60b3-ed41-0db1-a3b0a51e1cde@ed.ac.uk>
Content-Type: text/plain; charset="utf-8"


Post-doctoral Researcher Position at the University of Zurich


In the scope of the upcoming SNSF project *Multi-Task Learning with
Multilingual Resources for Better Natural Language Understanding*, I am
advertising a full time researcher position at the Institute of
Computational Linguistics <http://www.cl.uzh.ch/en.html> at the
University of Zurich.

Funding for the position is secured for *4 years*. The preferred start
date is *August 2019*, but subject to negotiation.


Research Project

The research project focuses on advancing natural language processing
for tasks with little supervised training data by sharing knowledge
across NLP tasks and/or across languages. You will work with
cutting-edge neural models. You will have some freedom to choose
interesting tasks and develop your own approach, but will also be
collaborating closely with others (primarily me and two PhD students),
and you will have other opportunities to interact with the text
technology group at the University of Zurich.


Requirements

* a recent* or imminent PhD degree in computational linguistics,
computer science, AI, or a related discipline.

/*the SNSF funds post-doctoral researchers up to 5 years after
acceptance of their PhD, 6 if work was interrupted due to special
circumstances (parental leave, illness, etc.)./

* a strong publication track record in machine learning and/or natural
language processing.
* strong programming skills (Python)
* strong communication skills (English: essential; German: desirable)


Salary

The position is funded at a competitive salary of 94,941 CHF / year (+
pension benefits). Part-time employment is possible and subject to
negotiation.


Environment

The University of Zurich is one of the top research universities in
Europe, and Zurich is often ranked among the cities with the world's
highest quality of life.

You will be joining the Institute of Computational Linguistics
<http://www.cl.uzh.ch/en.html>, which has 4 faculty and around 40
postdoctoral and student researchers in the areas of text technologies,
phonetics and speech.


Apply

To apply, please send an application to sennrich AT cl.uzh.ch
<mailto:sennrich%20AT%20cl.uzh.ch> with the following documents (as a
single PDF, English or German):

* a motivation letter (up to one page)
* a research statement (up to two pages)
* a CV, including a list of publications
* two references (name, position and e-mail address)

The application deadline is *31 March 2019*.
For informal inquiries, please also contact sennrich AT cl.uzh.ch
<mailto:sennrich%20AT%20cl.uzh.ch>.

--
Rico Sennrich
School of Informatics
University of Edinburgh
10 Crichton Street
Edinburgh, EH8 9AB, United Kingdom
http://homepages.inf.ed.ac.uk/rsennric/

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Message: 3
Date: Fri, 8 Mar 2019 21:48:14 +0530
From: Kamal Deep Garg <kamal.1cse@gmail.com>
Subject: [Moses-support] Phrase table empty
To: moses-support <moses-support@mit.edu>
Message-ID:
<CAKVk5k1WQEXfFCOB0eYd1SmxcpdVZzTqYuhjqLN=LCK-59G46A@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

Dear Sir


i trained with 9 lakh sentences. but after training phrase table is empty.



Thank You

Kamal Deep Garg
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End of Moses-support Digest, Vol 149, Issue 4
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