Comments (1)
For the backtranslation phase in our experiments with these languages, we employ nllb
. The parameters for specifying the languages will be lao_Laoo
for Lao
and san_Deva
for Sanskrit
. The outcomes of these experiments will be integrated into LADy version 0.2.0.0, which already contains results from the nllb
translator.
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Related Issues (20)
- batch execution of nllb translation
- Distribution of aspect terms and aspect categories in datasets HOT 6
- Adding HAST as a supervised baseline HOT 10
- Classification baseline for aspect term extraction HOT 18
- pipeline progress flow
- Check the existing readme and codeline HOT 2
- Gif image/video for illustrating the pipeline HOT 2
- Dockerize and fix installation on linux HOT 13
- a server for the web app
- Setup and Quickstart HOT 5
- Aspect based sentiment analysis + Running Bert and Cat library
- Adding Twitter Reviews Dataset HOT 1
- Needing for update in OCTIS library HOT 2
- Aspect Sentiment Triplet Extraction Baseline HOT 20
- New baseline for Aspect-Based Sentiment Analysis HOT 2
- Literature Review on Aspect and Sentiment Extraction HOT 1
- Adding a new tanslation model to the pipeline HOT 1
- OCTIS.CTM throws a value error during the training phase HOT 3
- Updating stats on quality of translation HOT 4
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