DiscoMT 2013 - International Workshop on Discourse in Machine Translation

Over the past four years, there has been a resurgence of interest in machine translation from the perspective of discourse, and in discourse from the perspective of machine translation. This includes translating discourse phenomena that depend on more than just the context of the current sentence or of n-grams to the left and/or right; ensuring document-level consistency in the choice of lexical items or referring forms or in document style or register; and ensuring that source-language discourse relations between clauses and/or sentences are also realized in the target text.
Given this renewed interest, we are pleased to invite paper submissions to the ACL 2013 Workshop on Discourse in MT, to be held on August 9, 2013 in Sofia.
The papers should focus on language processing techniques, whether theoretically-inspired or empirical, which address one or more of the discourse-level phenomena listed below, either in combination with MT, or from a cross-lingual perspective. We especially welcome papers that propose methods and software which enhance the capabilities of MT systems on discourse-level phenomena. Papers assessing the importance and origins of MT difficulties with discourse, including research and commercial MT systems, are suitable as well.
Topics
The proposed workshop solicits submissions more particularly focused on the following topics, but welcomes also submissions that link discourse studies with machine translation in some other way.
discourse processing in support of MT, including:
textual coherence, including anaphora, coreference, tense, aspect and modality
textual cohesion, including lexical consistency
discourse structure, including appropriate use of connectives and information structuring devices
topic structure
consistency in style and register
MT techniques for obtaining document-level consistency and domain adaptability;
MT techniques for structured documents;
methods and algorithms to handle discourse-level phenomena in MT training and decoding;
uses of MT in processing discourse-level phenomena;
techniques for assessing the impact of discourse-level processing on MT quality;
quantitative studies on the impact of discourse-level phenomena on current MT systems vs. discourse-aware ones.