[Corpora-List] Egyptian Dialect/ MSA Parallel Dictionary (Mohamed Khalifa)

Salam Khalifa salam.khalifa at gmail.com
Tue Jun 11 13:26:49 CEST 2019


Regarding the post about Egyptian Dialect/ MSA Parallel Dictionary I suggest Tharwa. ( http://www.lrec-conf.org/proceedings/lrec2014/pdf/1161_Paper.pdf) Please contact Prof. Mona Diab on how to obtain it.

I also suggest the MADAR lexicon (https://www.aclweb.org/anthology/L18-1535; Online browser: http://madar.camel-lab.com). It is not fully released yet though.

Best, Salam Khalifa (she/her). Research Assistant - NYU Abu Dhabi www.camel-lab.com

On Tue, Jun 4, 2019 at 2:05 PM <corpora-request at uib.no> wrote:


> Today's Topics:
>
> 1. NLP Postdoc at the Hertie School in Berlin
> (Slava Jankin Mikhaylov)
> 2. Egyptian Dialect/ MSA Parallel Dictionary (Mohamed Khalifa)
> 3. 2nd Call-for-Participation & testset release: MediaEval 2019
> Predicting Video Memorability Task (Bogdan Ionescu)
> 4. ESRC PhD Studentship on Algorithmic Gender Bias (Anya Belz)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Mon, 3 Jun 2019 16:24:58 +0200
> From: Slava Jankin Mikhaylov <slava.mikhaylov at gmail.com>
> Subject: [Corpora-List] NLP Postdoc at the Hertie School in Berlin
> To: corpora at uib.no
>
> Dear all,
>
> We are looking to hire a postdoctoral research fellow in NLP for an
> initial three-year period that can be renewed.
>
> You will use the time at the Hertie School to develop an independent
> research programme which involves work on neural network models for natural
> language understanding of political texts. While you will likely be asked
> to contribute to grant-funded projects on this topic and other core
> activities of the Lab, the level of involvement will be optimised to
> maximise independent research time.
>
> You should have a PhD and a strong publication record in natural language
> processing or a related field, and should have some experience using
> artificial neural network models in a research setting. German skills are
> not required.
>
> Hertie School offers a stimulating international and diverse research
> environment in the cosmopolitan heart of Europe.
>
> Application deadline is 25 June 2019. Please submit a description of your
> research plans and interests, a CV, and names and contact information of at
> least two references.
>
> For more information and online application link see:
>
>
> https://hertie-school.dvinci-easy.com/en/p/en/jobs/146/postdoctoral-research-fellow-data-science-lab-fmdiv-in-full-time-40hweek
> <
> https://hertie-school.dvinci-easy.com/en/p/en/jobs/146/postdoctoral-research-fellow-data-science-lab-fmdiv-in-full-time-40hweek
> >
>
> Please let me know if you have any questions.
>
> Best regards,
> Slava
>
>
> -----------
> Slava Jankin Mikhaylov
> Professor of Data Science and Public Policy
> Director of the Data Science Lab
> Hertie School of Governance
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> ------------------------------
>
> Message: 2
> Date: Mon, 3 Jun 2019 17:42:13 +0200
> From: Mohamed Khalifa <moyle2010 at gmail.com>
> Subject: [Corpora-List] Egyptian Dialect/ MSA Parallel Dictionary
> To: corpora at uib.no
>
> Dear all,
>
> I'm looking for a parallel dictionary of Egyptian Arabic dialect words
> mapped to their Modern Standard Arabic (MSA) equivalents. Any help would be
> truly appreciated
>
> Kind Regards
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> ------------------------------
>
> Message: 3
> Date: Mon, 3 Jun 2019 20:32:31 +0300
> From: Bogdan Ionescu <bogdanlapi at gmail.com>
> Subject: [Corpora-List] 2nd Call-for-Participation & testset release:
> MediaEval 2019 Predicting Video Memorability Task
> To: corpora at uib.no
>
> [Apologies for cross-postings]
>
>
> *******************************************************
> 2nd CALL FOR PARTICIPATION & TEST DATA RELEASE
> Predicting Video Memorability Task
> 2019 MediaEval Benchmarking Initiative for Multimedia Evaluation
> http://www.multimediaeval.org/mediaeval2019/memorability/
> *******************************************************
> Register here:
> https://docs.google.com/forms/d/e/1FAIpQLSfxS4LPBhLQUTXSPT5vogtiSy7BuAKrPs6u6pZXcSV1Xs7XEQ/viewform
> *******************************************************
>
> The Predicting Video Memorability Task focuses on the problem of
> predicting how memorable a video will be. It requires participants to
> automatically predict memorability scores for videos, which reflect
> the probability of a video being remembered.
>
> Participants will be provided with an extensive dataset of videos with
> memorability annotations, and pre-extracted state-of-the-art visual
> features. The ground truth has been collected through recognition
> tests, and, for this reason, reflects objective measures of memory
> performance. In contrast to previous work on image memorability
> prediction, where memorability was measured a few minutes after
> memorization, the dataset comes with ?short-term? and ?long-term?
> memorability annotations. Because memories continue to evolve in
> long-term memory, in particular during the first day following
> memorization, we expect long-term memorability annotations to be more
> representative of long-term memory performance, which is used
> preferably in numerous applications.
>
> Participants will be required to train computational models capable of
> inferring video memorability from visual content. Optionally,
> descriptive titles attached to the videos may be used. Models will be
> evaluated through standard evaluation metrics used in ranking tasks.
>
>
> ***********************
> Target communities
> ***********************
> Researchers will find this task interesting if they work in the areas
> of human perception and the impact of multimedia on perception such as
> image and video interestingness, memorability, attractiveness,
> aesthetics prediction, event detection, multimedia affect and
> perceptual analysis, multimedia content analysis, machine learning
> (though not limited to).
>
>
> ***********************
> Data
> ***********************
> Data is composed of 10,000 short (soundless) videos extracted from raw
> footage used by professionals when creating content. Each video
> consists of a coherent unit in terms of meaning and is associated with
> two scores of memorability that refer to its probability to be
> remembered after two different durations of memory retention.
> Memorability has been measured using recognition tests, i.e., through
> an objective measure, a few minutes after the memorization of the
> videos, and then 24 to 72 hours later. The videos are shared under
> Creative Commons licenses that allow their redistribution. They come
> with a set of pre-extracted features, such as: Dense SIFT, HoG
> descriptors, LBP, GIST, Color Histogram, MFCC, Fc7 layer from AlexNet,
> C3D features, etc.
>
>
> ******************************
> Workshop
> ******************************
> Participants to the task are invited to present their results during
> the annual MediaEval Workshop, which will be held by the end of
> October 2019, in Nice, France, co-located with ACM Multimedia 2019.
> Working notes proceedings are to appear with CEUR Workshop Proceedings
> (ceur-ws.org).
>
>
> ******************************
> Important dates (tentative)
> ******************************
> (open) Participant registration: March-May
> (released) Development data release: 1 May
> (released) Test data release: 3 June
> Runs due: 20 September
> Working notes papers due: 11 October
> MediaEval Workshop, Nice, France: 27-29 October
> (co-located with ACM Multimedia 2019)
>
>
> ***********************
> Task coordination
> ***********************
> Mihai Gabriel Constantin, University Politehnica of Bucharest, Romania
> Bogdan Ionescu, University Politehnica of Bucharest, Romania
> Claire-Hélène Demarty, Technicolor, France
> Quang-Khanh-Ngoc Duong, Technicolor, France
> Xavier Alameda-Pineda, INRIA, France
> Mats Sjöberg, CSC, Finland
>
>
> On behalf of the Organizers,
>
> Prof. Bogdan IONESCU
> ETTI - University Politehnica of Bucharest
> http://campus.pub.ro/lab7/bionescu/
>
>
>
> ------------------------------
>
> Message: 4
> Date: Tue, 4 Jun 2019 09:39:14 +0000
> From: Anya Belz <A.S.Belz at brighton.ac.uk>
> Subject: [Corpora-List] ESRC PhD Studentship on Algorithmic Gender
> Bias
> To: "corpora at uib.no" <corpora at uib.no>
>
> We need applicants who've been resident in the UK for the past 3 years for
> this studentship - please share!
>
> There is room for adaptating the topic. Please get in touch with me to
> discuss.
>
> AB
>
>
> ESRC PhD Studentship
>
> Algorithmic gender bias in health and social care
>
> Applications are invited for an interdisciplinary four-year PhD
> studentship at the Centre for Digital Media Cultures and the Applied Data
> Analytics research group at the University of Brighton. The successful
> candidate will join an internationally recognised team of researchers to
> investigate the ways in which algorithmic gender bias occurs, and
> understand how it can be mitigated against, in the specific context of
> health and social care provision. You will
>
> a) map algorithm-based systems currently in use by health and social
> care providers,
> b) develop methods that identify gender bias within AI systems, and
> c) examine ways in which bias can be removed.
>
> This PhD studentship will provide training in social research methods,
> machine learning and data analytics, as appropriate.
>
> ___________________________________________________________
> This email has been scanned by MessageLabs' Email Security System
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>
>
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> End of Corpora Digest, Vol 144, Issue 3
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