Publication details
When Word Pairs Matter - Analysis of the English-Slovak Evaluation Dataset
| Authors | |
|---|---|
| Year of publication | 2021 |
| Type | Article in Proceedings |
| Conference | Proceedings of the Fifteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2021 |
| MU Faculty or unit | |
| Citation | |
| Web | |
| Keywords | Cross-lingual word embeddings; Ground truth dictionary; Evaluation; English; Slovak |
| Description | Cross-lingual word embeddings facilitate the transfer of lexical knowledge across languages, and they are mainly used for finding transla- tion equivalents. Translation equivalents obtained in this way are usually evaluated with the help of ground truth dictionaries. However, the evalu- ation process, including the ground truth dictionaries, differs from model to model, impeding the correct interpretation of the results. Therefore, in this paper, we provide a thorough analysis of the English-Slovak ground truth dictionary and employ our analysis in evaluating two cross-lingual word embedding models. We show that word pairs choice is an important factor when accurately reflecting the model’s performance. |
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