@@ -11,4 +11,6 @@ The following models refer to section 4.3 of the report.
GRU_REG_EMB uses the same batching methodology as GRU_REG. We learn embeddings for each language seperately.
GRU_REG_EMB_SHARED tries to learn one embedding space for both languages.
GRU_REG_EMB_PACKED uses one embedding space and the pack_padded_sequence functionality for padding.
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GRU_REG_EMB_PACKED uses one embedding space and the pack_padded_sequence functionality for padding.
XLM_FFNN contains the pre-trained XLM model and FFNN described in 4.4 Section of the report as well as some necessary preprocessing in order to use pre-trained XLM model.
