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Found 7 papers, 1 papers with code
Automatic Bilingual Phrase Dictionary Construction from GIZA++ Output
Modern encoder-decoder based neural machine translation (NMT) models are normally trained on parallel sentences.
Evaluation of Morphological Embeddings for English and Russian Languages
This paper evaluates morphology-based embeddings for English and Russian languages.
Hierarchical Transformer for Multilingual Machine Translation
The choice of parameter sharing strategy in multilingual machine translation models determines how optimally parameter space is used and hence, directly influences ultimate translation quality.
A Survey of Methods to Leverage Monolingual Data in Low-resource Neural Machine Translation
Neural machine translation has become the state-of-the-art for language pairs with large parallel corpora.
Low-Resource Neural Machine Translation
Transfer Learning
+1
Application of Low-resource Machine Translation Techniques to Russian-Tatar Language Pair
Neural machine translation is the current state-of-the-art in machine translation.
SART - Similarity, Analogies, and Relatedness for Tatar Language: New Benchmark Datasets for Word Embeddings Evaluation
We evaluate state-of-the-art word embedding models for two languages using our proposed datasets for Tatar and the original datasets for English and report our findings on performance comparison.
