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The Highs and Lows of Simple Lexical Domain Adaptation Approaches for
  Neural Machine Translation

The Highs and Lows of Simple Lexical Domain Adaptation Approaches for Neural Machine Translation

2 January 2021
Nikolay Bogoychev
Pinzhen Chen
ArXivPDFHTML

Papers citing "The Highs and Lows of Simple Lexical Domain Adaptation Approaches for Neural Machine Translation"

4 / 4 papers shown
Title
Context and System Fusion in Post-ASR Emotion Recognition with Large
  Language Models
Context and System Fusion in Post-ASR Emotion Recognition with Large Language Models
Pavel Stepachev
Pinzhen Chen
Barry Haddow
33
0
0
04 Oct 2024
Stolen Subwords: Importance of Vocabularies for Machine Translation
  Model Stealing
Stolen Subwords: Importance of Vocabularies for Machine Translation Model Stealing
Vilém Zouhar
AAML
40
0
0
29 Jan 2024
The Ups and Downs of Large Language Model Inference with Vocabulary
  Trimming by Language Heuristics
The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics
Nikolay Bogoychev
Pinzhen Chen
Barry Haddow
Alexandra Birch
28
0
0
16 Nov 2023
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
224
1,208
0
12 Jun 2017
1