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D4.3 Tools and Models for Multimodal Multilingual and Discourse-Aware Machine Translation ...
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D4.3 Tools and Models for Multimodal Multilingual and Discourse-Aware Machine Translation ...
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Abstract:
In this deliverable, we report on our final releases of machine translation models and tools that were developed through our efforts in WP4. We introduce OPUS-MT, a WebSocket-based translation server, and our release of the MeMAD subtitle translation pipeline, both including pre-trained models suitable for general-purpose translation. Next, we introduce and discuss the \texttt{subalign} toolbox, and its key utilities that implement heuristics to convert between plain sentences and SRT-formatted subtitle segments with time codes. In connection with this, we introduce fine-tuned models for subtitle translation with the capability of token alignment for improved synchronisation. Afterwards, we introduce our releases of the MeMAD image caption translation and end-to-end speech translation systems. These systems are based on our work on multimodal machine translation discussed previously in D4.1, evaluated as part of our submissions to the WMT 2018 multimodal translation and IWSLT 2019 speech translation shared ...
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Keyword:
machine translation, discourse-aware, multimodal, multilingual
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URL: https://dx.doi.org/10.5281/zenodo.4630082 https://zenodo.org/record/4630082
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Universal Dependencies 2.2
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In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
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Universal Dependencies 2.1
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In: https://hal.inria.fr/hal-01682188 ; 2017 (2017)
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Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data
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Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.0)
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CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
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