String Transduction with Target Language Models and Insertion Handling
Table 1: Word-level accuracy on transliteration (in %) with 100 training instances.
['System', 'HeEn', 'ThEn', 'PeEn']
In particular, the seamless incorporation of the target language model not only simplifies the model but also greatly improves the results with respect to the reranking approach. On the other hand, the RNN struggles to learn an adequate model with only 100 training examples.