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TartuNLP's Projects

alpaca-est icon alpaca-est

Alpaca-style instruction-following dataset for Estonian

bleu2vec icon bleu2vec

Modified BLEU score. Uses word2vec similarity instead of one to one similarity.

catlm icon catlm

An implementation of an RNN language model - including training, sampling and scoring texts; plus categories.

coupled-seq2seq icon coupled-seq2seq

Implementation of coupled sequence-to-sequence model training, based on HuggingFace.

estgec icon estgec

Grammatical error correction resources for Estonian and other languages

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

inherent-domains-wmt21 icon inherent-domains-wmt21

This is the official code release for the "Translation Transformers Rediscover Inherent Data Domains", WMT21

kama icon kama

Models, scripts and reports for multilingual multi-domain neural machine translation, developed at TartuNLP / University of Tartu

mix-and-match-nmt icon mix-and-match-nmt

Combining encoders and decoders of different pre-trained NMT models to create mix-and-match models.

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