Towards Learning Coupled Representations for Cross-Lingual Information Retrieval

We explore the use of dictionary-based approaches for cross-lingual information retrieval tasks and propose a novel Coupled Dictionary Learning (CDL) algorithm to learn two separate representations simultaneously for documents in a parallel corpus alongside learning mappings from one representation to the other. We evaluate the performance of the proposed algorithm for the task of comparable document retrieval and compare with existing baselines.