1st Call for Workshop Proposals: Machine Translation Summit 2019
Machine Translation Summit workshops are intended to provide the
opportunity for MT-related communities of interest to spend time
together advancing the state of thinking or the state of practice in
their area of endeavour. We are particularly interested in submissions
related to commercialisation of MT and/or its use by translators.
However, any themes connected to MT research, development, deployment,
use, and evaluation are welcome. Topics for past workshops have included
post-editing, translation of patents, monolingual aspects of MT,
collaborative translation, lexical resources, and MT research and the
translation industry, to mention just a few.
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We are happy to announce that 2 new Written Corpora and 4 new Speech resources are now available in our catalogue.
ELRA-W0126 Training and test data for Arabizi detection and transliteration
The dataset is composed of : a collection of mixed English and Arabizi text intended to train and test a system for the automatic detection of code-switching in mixed English and Arabizi texts ; and a set of 3,452 Arabizi tokens manually transliterated into Arabic, intended to train and test a system that performs Arabizi to Arabic transliteration.
For more information, see: http://catalog.elra.info/en-us/repository/browse/ELRA-W0126/
Continue reading “ELRA Language Resources Catalogue – Update”
Call for Participation
SemEval 2019 Task 6 – OffensEval: Identifying and Categorizing Offensive Language in Social Media
Shared Task Website: https://competitions.codalab.org/competitions/20011
Offensive language is pervasive in social media. Online communities, social media platforms, and technology companies have been investing heavily in ways to cope with offensive language to prevent abusive behavior in social media. One of the most effective strategies for tackling this problem is to use computational methods to identify offense, aggression, and hate speech in user-generated content (e.g. posts, comments, microblogs, etc.).
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[Note there’s a separate CFP for Industry papers, although the dates are the same.
First Call For Papers
The 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019) will be held in Minneapolis from June 2nd to June 7th, 2019. NAACL-HLT 2019 aims to bring together researchers interested in the design and study of natural language processing technology as well as its applications to new problem areas. With this goal in mind, NAACL-HLT 2019 invites the submission of long and short papers on creative, substantial and unpublished research in all aspects of computational linguistics.
NAACL-HLT 2019 has a goal of a diverse technical program–in addition to traditional research results, papers may present negative findings, survey an area, announce the creation of a new resource, argue a position, report novel linguistic insights derived using existing techniques, and reproduce, or fail to reproduce, previous results.
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Call For Papers
FIRE 2018: Tenth meeting of the Forum for Information Retrieval Evaluation
7th – 9th December, Dhirubhai Ambani Institute of information and
communication technology, Gandhinagar
Submission Deadline: August 31, 2018
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MT Summit XVII: the 17th Machine Translation Summit
First Call for Papers
Aug 19-23 2019
The Helix Theatre, Dublin City University, Dublin, Ireland
We are pleased to announce the first call for papers for MT Summit XVII: the 17th Machine Translation Summit, which will take place in the Helix Theatre at Dublin City University, Dublin, Ireland, from 19-23 August 2019.
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Information Retrieval Journal
Special Issue on eCommerce Search and Recommendation – Call For Papers : https://bit.ly/2H7FarY
Initial submissions due: December 15, 2018
Initial reviewer feedback: February 15, 2019
Revised submission due: April 15, 2019
Final reviews and notification: May 15, 2019
Search, ranking and recommendations have applications ranging from traditional
web search to document databases to vertical search systems. In this special issue we will explore approaches for search and recommendations of products, as well as other aspects of eCommerce Information Retrieval.
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