Abstract
This paper provides an overview of the Sheffield University submission to the WMT15 Translation Task for the Finnish- English language pair. The submitted translations were created from a system built using the CDEC decoder. Finnish is a morphologically rich language with elements such as nouns and verbs carrying a large number of inflectional types. Consequently, our improvements are based on morphology and include preprocessing steps to handle of morphological inflections inherent in the language, and which otherwise result in lexical sparsity and loss of information.
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CITATION STYLE
Smith, K. S., Specia, L., & Steele, D. (2015). Sheffield systems for the finnish-english wmt translation task. In 10th Workshop on Statistical Machine Translation, WMT 2015 at the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015 - Proceedings (pp. 172–176). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w15-3020
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