Co-located with EAMT 2017, Prague, Czech Republic
Extended versions of the best papers may be published into an upcoming special issue of “Translating User Generated Content” on Machine Translation Journal
January 30, 2017 : First Call for Workshop Papers
March 8, 2017: Second Call for Workshop Papers
March 24, 2017 (extended to April 3, 2017): Workshop Paper Due Date
April 14, 2017 (extended to April 20, 2017): Notification of Acceptance
May 12, 2017: Camera-ready papers due
May 31, 2017: Workshop Date (half-day workshop)
Houda Bouamor, Carnegie Mellon University, Qatar
Translating user generated content: an overview and Arabic dialect translation as a case study
General Chair: Andy Way, ADAPT Centre, Dublin City University
Program Chair: Haithem Afli, ADAPT Centre, Dublin City University
With the widespread adoption of social media and online forums, individual users have been able to actively participate in the generation of online content in different languages and dialects. As a result, user-generated content (UGC) has seen an enormous growth in the recent years. The nature of UGC means that it can be generated at any time and in non-standard language or formats. Compared to professionally edited text, it is often more noisy, and likely to take some liberty with commonly established grammar, punctuation and spelling norms. All this can make it difficult to translate but UGC can also be incredibly valuable. This workshop will explore the multifarious aspects of effective MT of data extracted from social media.
The workshop aims to provide a research platform dedicated to new method and techniques on translating user-generated content and exploring the use of such transition on social media analytics. The workshop will solicit original research contributions related to the theme, which includes (but is not limited to):
Submissions may include work in progress as well as finished work. Submissions must have a clear focus on specific issues pertaining to UGC and its translation. Descriptions of commercial systems are welcome, but authors should be willing to discuss the details of their work.
Additionally, the workshop will aim to bring together researchers from diverse fields, such as Machine Translation, Big Data and Machine Learning, Natural Language Processing, and Computational Social Sciences, who can potentially contribute to improving the quality of UGC translation and its utilisation in research and industrial data analytics tasks.
Submission Format: Submissions must conform to the official style guidelines for EAMT 2017 (https://ufal.mff.cuni.cz/pbml/instructions-authors).
Overleaf Project to Clone: https://www.overleaf.com/read/jgvrjmrqnwct
MS Word Template: https://ufal.mff.cuni.cz/eamt2017/files/templates/eamt17.doc
Contributions can be short or long papers. Short paper submission must describe original and unpublished work without exceeding eight (8) pages plus any number of pages for references. Characteristics of short papers include: a small, focused contribution; work in progress; a negative result; an opinion piece; an interesting application nugget. Long paper submissions must describe substantial, original, completed and unpublished work without exceeding twelve (12) pages plus any number of pages for references.
Reviewing will be double blind, so the papers should not reveal the authors’ identity. Accepted papers will be published in the workshop proceedings.
Double submission policy: Parallel submission to other meetings or publications is possible but must be immediately notified to the workshop organizers.
Submission Website: https://easychair.org/conferences/?conf=socialmt2017
For further information, please contact Haithem Afli mailto:haithem.afli(at)adaptcentre(dot)ie
Weds afternoon of 31st May
Opening and Welcome
Andy Way and Haithem Afli
Keynote Speech
Houda Bouamor
Translating user generated content: an overview and Arabic dialect translation as a case study.
Chao-Hong Liu, Declan Groves, Akira Hayakawa, Alberto Poncelas and Qun Liu. Understanding Meanings in Multilingual Customer Feedback.
Oral presentation 2
Fatma Mallek, Ngoc Tan Le and Fatiha Sadat. Improved Machine Translation for Arabic Tweets on Scarce-resource settings.
Coffee Break and Networking
Meghan Dowling, Teresa Lynn and Andy Way. A Crowd-sourcing Approach for Translations of Minority Language User-Generated Content
Oral presentation 4
Imane Guellil, Azouaou Faical, Mourad Abbas and Fatiha Sadat. Towards an automatic Machine Translation for Arabic using Arabizi Neural Machine Transliteration
Panel discussion on open and upcoming challenges in translating UGC
Closing
The workshop will be held at the Faculty of Mathematics and Physics, Charles University, Malostranské náměstí 25, 11800 Prague 1, Czech Republic.