Sign language machine translation overkill.
Dan J. Stein, Christoph Schmidt, Hermann Ney · 2010
Sign languages represent an interesting niche for statistical machine translation that is typically hampered by the scarce-ness of suitable data, and most papers in this area apply only a few, well-known techniques and do not adapt them to small-sized corpora. In this paper, we will propose new methods for common approaches like scaling factor opti-mization and alignment merging strategies which helped im-prove our baseline. We also conduct experiments with differ-ent decoders and employ state-of-the-art techniques like soft syntactic labels as well as trigger-based and discriminative word lexica and system combination. All methods are evalu-ated on one of the largest sign language corpora available. 1.