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EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT ...
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Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification ...
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The RGNLP Machine Translation Systems for WAT 2018 ...
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Abstract:
This paper presents the system description of Machine Translation (MT) system(s) for Indic Languages Multilingual Task for the 2018 edition of the WAT Shared Task. In our experiments, we (the RGNLP team) explore both statistical and neural methods across all language pairs. (We further present an extensive comparison of language-related problems for both the approaches in the context of low-resourced settings.) Our PBSMT models were highest score on all automatic evaluation metrics in the English into Telugu, Hindi, Bengali, Tamil portion of the shared task. ... : Short-Paper at WAT Shared Task 2018, In Proceedings of the 5th Workshop on Asian Translation (WAT2018), Hong Kong, China, December ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.1812.00798 https://arxiv.org/abs/1812.00798
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Semantic reranking of CRF label sequences for verbal multiword expression identification ; Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop
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