Moses-support Digest, Vol 159, Issue 7

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Today's Topics:

1. CALL FOR PARTICIPATION in short term course on MNLP-2020
(Jyoti Srivastava)


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

Message: 1
Date: Wed, 22 Jan 2020 15:56:04 +0530
From: Jyoti Srivastava <jyoti11s@gmail.com>
Subject: [Moses-support] CALL FOR PARTICIPATION in short term course
on MNLP-2020
To: moses-support@mit.edu
Message-ID:
<CAFxbX9s+kqiQTM-7PTczwMUm8v+aziKcBtHX3wSjBN6Lw25naw@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

*CALL FOR PARTICIPATION*



****************Apologies for multiple posting****************



Dear Sir/ Madam



Greetings of the day!

Department of Computer Science & Engineering, National Institute of
Technology, Hamirpur (H.P.) is organizing a Short Term Course on *?Machine
Learning for Natural Language Processing (MNLP-2020)?* from *13th-18th
March, 2020*.

A combination of lectures, case studies, and workshops will be used to
cover the following topics of interest, but are not limited to:

? Artificial Intelligence

? Machine learning

? Natural Language Processing and its applications

? Deep learning

? Machine Translation

? Information Retrieval

? Sentiment analysis

? Latest Machine learning trends in NLP etc.



You are invited to attend the course and requested to convey the same to
your colleagues as well as an institute to get more benefit from this
course.

Weblink for the brochure and registration form is:
https://nith.ac.in/?page_id=23481



Looking forward to hear from you and to welcome you to visit NIT Hamirpur.



With warm regards.



--

*Dr. Jyoti Srivastava*

*Coordinator MNLP-2020*

Department of Computer Science and Engineering

National Institute of Technology

Hamirpur 177005


On Wed, Jan 22, 2020 at 3:34 PM Jyoti Srivastava <jyoti11s@gmail.com> wrote:

>
> On Wed, Jan 15, 2020 at 10:33 PM <moses-support-request@mit.edu> wrote:
>
>> 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. CFP: 2020 Duolingo Shared Task on Translation + Paraphrase
>> (Klinton Bicknell)
>>
>>
>> ----------------------------------------------------------------------
>>
>> Message: 1
>> Date: Wed, 15 Jan 2020 11:47:58 -0500
>> From: Klinton Bicknell <klinton@duolingo.com>
>> Subject: [Moses-support] CFP: 2020 Duolingo Shared Task on Translation
>> + Paraphrase
>> To: moses-support@mit.edu
>> Message-ID:
>> <
>> CAAymc2b4MyHwY9qc-OxZ57wzMz7918h0wxt0tpLKb5PXN7udxw@mail.gmail.com>
>> Content-Type: text/plain; charset="utf-8"
>>
>> CFP: 2020 Duolingo Shared Task on Translation + Paraphrase1st call for
>> participation in STAPLE: Simultaneous Translation And Paraphrase for
>> Language Education
>>
>> Duolingo AI Research <https://research.duolingo.com/> is excited to
>> announce a new shared task on translation and paraphrasing to be held as
>> part of the Workshop on Neural Generation and Translation (WNGT)
>> <https://sites.google.com/view/wngt20/>, collocated with ACL 2020
>> <https://acl2020.org/> in Seattle.
>>
>> Visit the shared task website here: sharedtask.duolingo.com
>>
>> Sign up on the mailing list here:
>> https://groups.google.com/forum/#!forum/duolingo-sharedtask-2020
>>
>> BACKGROUND
>>
>> Machine translation systems typically produce a single output, but in
>> certain cases, it is desirable to have many possible translations of a
>> given input text. This situation is common with Duolingo
>> <https://www.duolingo.com/> (the world's largest language-learning
>> platform), where some learning happens via translation-based exercises,
>> and
>> grading is done by comparing learners' responses against a large set of
>> human-curated acceptable translations.
>>
>> SHARED TASK
>>
>> In this shared task, participants start with English prompts and generate
>> high-coverage sets of plausible translations in five other languages. For
>> evaluation, we provide sentences with handcrafted, field-tested sets of
>> possible translations, weighted and ranked according to actual learner
>> response frequency. We will also provide high-quality automatic
>> translations of each input sentence that may (optionally) be used as a
>> reference/anchor point, and also serves as a strong baseline. In this way,
>> we expect the task to be of interest to diverse researchers in machine
>> translation, MT evaluation, multilingual paraphrase, and language
>> education
>> technology fields.
>>
>> IMPORTANT DATES
>>
>> 13-Jan-2020: Data release (phase 1): TRAIN set + starter code
>>
>> 02-Mar-2020: Data release (phase 2): blind DEV set
>>
>> 30-Mar-2020: Data release (phase 3): blind TEST set
>>
>> 06-Apr-2020: Final predictions deadline
>>
>> 08-Apr-2020: Final results announcement
>>
>> 13-Apr-2020: Draft system papers due
>>
>> 04-May-2020: System paper reviews returned
>>
>> 18-May-2020: Camera-ready system papers due
>>
>> ~9-Jul-2020: Workshop at ACL in Seattle!
>>
>> ORGANIZERS
>>
>> Klinton Bicknell (Duolingo)
>>
>> Chris Brust (Duolingo)
>>
>> Stephen Mayhew (Duolingo)
>>
>> Bill McDowell (Duolingo)
>>
>> Will Monroe (Duolingo)
>>
>> Burr Settles (Duolingo)
>>
>> sharedtask.duolingo.com
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