Cross-lingual similarity tasks
Cross-lingual models are capable of representing text in a unified form, where sentences are taken from different languages but those with close meaning are mapped to similar vectors in vector space. XLM-R, as was detailed in the previous section, is one of the successful models in this scope. Now, let’s look at some applications of this.
Cross-lingual text similarity
In the following example, you will see how it is possible to use a cross-lingual language model pre-trained on the XNLI dataset to find similar texts from different languages. A use-case scenario is where a plagiarism detection system is required for this task. We will use sentences from the Azerbaijani language and see whether XLM-R finds similar sentences from English—if there are any. The sentences from both languages are identical. Here are the steps to take:
- First, you need to load a model for this task as follows:
from sentence_transformers import SentenceTransformer...
