Adversarial Neural Networks for Cross-lingual Sequence Tagging
Table 3: Monolingual SC results on French.
['Training data', 'Accuracy']
Monolingual and MT models. Most work on sentence compression considers English corpora only. Studies on other languages either train different monolingual models Steinberger and Tesar In order to get baseline results, we follow these approaches and train monolingual models (on FR) and models on translated data (MT-FR). Thus, the feature generator and tagger are monolingual models and there is no language discriminator. We find that MT can help to train first models in a new language. However, training data in the target language is better (see performance gap from 1k FR+1k MT-FR to 2k FR).