27.2637, Calls: Applied Ling, Cognitive Science, Computational Ling, Translation/Portugal

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LINGUIST List: Vol-27-2637. Fri Jun 17 2016. ISSN: 1069 - 4875.

Subject: 27.2637, Calls: Applied Ling, Cognitive Science, Computational Ling, Translation/Portugal

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Date: Fri, 17 Jun 2016 09:58:05
From: Gertjan van Noord [g.j.m.van.noord at rug.nl]
Subject: Deep Machine Translation Workshop 2016

 
Full Title: Deep Machine Translation Workshop 2016 

Date: 20-Oct-2016 - 21-Oct-2016
Location: Lisbon, Portugal 
Contact Person: Gertjan van Noord
Meeting Email: g.j.m.van.noord at rug.nl
Web Site: http://deepmt2016.di.fc.ul.pt 

Linguistic Field(s): Applied Linguistics; Cognitive Science; Computational Linguistics; Translation 

Call Deadline: 11-Sep-2016 

Meeting Description:

This is the second workshop on ''Deep Machine Translation'', the first being
held in Prague in 2015
(https://ufal.mff.cuni.cz/events/deep-machine-translation-workshop). Its aim
is to bring together researchers and students working on machine translation
approaches and technology using ''deep understanding'' (not necessarily using
Deep Neural Networks, as the name might suggest, but
certainly not excluding them either). Adding ''more linguistics'' has long
been considered as a possible way to boost quality of current, mainly
(PB)SMT-based systems. However, there are many ways to do so, and it was felt
a forum is needed where experience can be shared among people working on such
systems.

Organizers:

Jan Hajič, Charles University in Prague
Gertjan van Noord, University of Groningen
António Branco, University of Lisbon


Call for Papers:

Papers on original and unpublished research are welcome on any of the topics
listed above in general, and specifically on any of the following:

- General approaches to the use of linguistic knowledge for Machine
Translation
- Contrast and comparison of Deep linguistic methods vs. Deep neural networks
for MT
- Semantics for Machine Translation
- Combination of statistical and “manual” approaches to Machine Translation,
hybrid systems
- Innovative use of manually built lexical resources in Machine Translation
(monolingual, bilingual)
- Deep linguistic representation of meaning / semantics, including semantic
graphs, logical representation, temporal and spatial representation and
grounding
- Deep linguistic analysis and generation
- Joint linguistic and distributional modeling (analysis, generation,
transfer)
- Analysis, generation and transfer using graph-based meaning representation
- Incorporating coreference, named entity recognition, words sense
disambiguation, or any other linguistically motivated features into the MT
chain
- Multilingual question-answering and CLIR approaches, including specific
methods for query translation and query matching in a multilingual setting
- Evaluation methods for standard text translation, query translation, and
CLIR Schedule

Call for papers released: May 30, 2016
Submission deadline: September 11, 2016
Workshop dates: October 20-21, 2016




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