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Found 5 papers, 0 papers with code
Deploying a BERT-based Query-Title Relevance Classifier in a Production System: a View from the Trenches
We successfully optimize a Query-Title Relevance (QTR) classifier for deployment via a compact model, which we name BERT Bidirectional Long Short-Term Memory (BertBiLSTM).
Diving Deep into Context-Aware Neural Machine Translation
Context-aware neural machine translation (NMT) is a promising direction to improve the translation quality by making use of the additional context, e. g., document-level translation, or having meta-information.
Word-based Domain Adaptation for Neural Machine Translation
Pre-training a model with word weights improves fine-tuning up to 1. 24% BLEU absolute and 1. 64% TER, respectively.
Neural and Statistical Methods for Leveraging Meta-information in Machine Translation
In this paper, we discuss different methods which use meta information and richer context that may accompany source language input to improve machine translation quality.
Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search
In this paper, we introduce a hybrid search for attention-based neural machine translation (NMT).
