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You're reading from  Mastering Transformers

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Published inSep 2021
PublisherPackt
ISBN-139781801077651
Edition1st Edition
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Authors (2):
Savaş Yıldırım
Savaş Yıldırım
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Savaş Yıldırım

Savaş Yıldırım graduated from the Istanbul Technical University Department of Computer Engineering and holds a Ph.D. degree in Natural Language Processing (NLP). Currently, he is an associate professor at the Istanbul Bilgi University, Turkey, and is a visiting researcher at the Ryerson University, Canada. He is a proactive lecturer and researcher with more than 20 years of experience teaching courses on machine learning, deep learning, and NLP. He has significantly contributed to the Turkish NLP community by developing a lot of open source software and resources. He also provides comprehensive consultancy to AI companies on their R&D projects. In his spare time, he writes and directs short films, and enjoys practicing yoga.
Read more about Savaş Yıldırım

Meysam Asgari- Chenaghlu
Meysam Asgari- Chenaghlu
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Meysam Asgari- Chenaghlu

Meysam Asgari-Chenaghlu is an AI manager at Carbon Consulting and is also a Ph.D. candidate at the University of Tabriz. He has been a consultant for Turkey's leading telecommunication and banking companies. He has also worked on various projects, including natural language understanding and semantic search.
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Cross-lingual similarity tasks

Cross-lingual models are capable of representing text in a unified form, where sentences are 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 on 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:

  1. First, you need to load a model for this task, as follows:
    from sentence_transformers import SentenceTransformer...
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Mastering Transformers
Published in: Sep 2021Publisher: PacktISBN-13: 9781801077651

Authors (2)

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Savaş Yıldırım

Savaş Yıldırım graduated from the Istanbul Technical University Department of Computer Engineering and holds a Ph.D. degree in Natural Language Processing (NLP). Currently, he is an associate professor at the Istanbul Bilgi University, Turkey, and is a visiting researcher at the Ryerson University, Canada. He is a proactive lecturer and researcher with more than 20 years of experience teaching courses on machine learning, deep learning, and NLP. He has significantly contributed to the Turkish NLP community by developing a lot of open source software and resources. He also provides comprehensive consultancy to AI companies on their R&D projects. In his spare time, he writes and directs short films, and enjoys practicing yoga.
Read more about Savaş Yıldırım

author image
Meysam Asgari- Chenaghlu

Meysam Asgari-Chenaghlu is an AI manager at Carbon Consulting and is also a Ph.D. candidate at the University of Tabriz. He has been a consultant for Turkey's leading telecommunication and banking companies. He has also worked on various projects, including natural language understanding and semantic search.
Read more about Meysam Asgari- Chenaghlu