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Available Software

A number of implementation of training components and decoders for statistical machine translation systems are publically available as open source software.

Available Software is the main subject of 98 publications.

Publications

A popular decoder for phrase-based and syntax-based models is Moses (Koehn et al., 2007), a successor to the phrase-based decoder Pharaoh (Koehn, 2004). Phrasal (Cer et al., 2010) and Phramer (Olteanu et al., 2006) are Java implementations of decoders for phrase-based statistical models. Available implementations of tree-based decoders are SAMT (Zollmann et al., 2007), Joshua (Li et al., 2009; Li et al., 2010; Weese et al., 2011; Ganitkevitch et al., 2012), Jane (Vilar et al., 2010; Wuebker et al., 2012) and cdec (Dyer et al., 2010).
Thot (Ortiz-Martínez et al., 2005) is a toolkit to train phrase-based models. GIZA++ (Och and Ney, 2003), mGIZA (Gao and Vogel, 2008) and MTTK (Deng and Byrne, 2006) are tools for word alignment. Nile is a discriminatively trained word aligner for syntax-based models (Riesa and Marcu, 2010; Riesa et al., 2011).
Yawat is a web-based tool to view and create word alignments (Germann, 2007; Germann, 2008).
Hunalign (Varga et al., 2005) is a popular tool for sentence alignment.
Cattoni et al. (2006) present a web demo for their phrase-based system. An online tool for machine translation evaluation is presented by Eck et al. (2006).

Benchmarks

The different implementations are used in evaluation campaigns, but there are no official benchmarks to measure the components by themselves.

Discussion

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