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2101.00421
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The Highs and Lows of Simple Lexical Domain Adaptation Approaches for Neural Machine Translation
First Workshop on Insights from Negative Results in NLP (Insights), 2021
2 January 2021
Nikolay Bogoychev
Pinzhen Chen
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Papers citing
"The Highs and Lows of Simple Lexical Domain Adaptation Approaches for Neural Machine Translation"
4 / 4 papers shown
Context and System Fusion in Post-ASR Emotion Recognition with Large Language Models
Pavel Stepachev
Pinzhen Chen
Barry Haddow
220
1
0
04 Oct 2024
Stolen Subwords: Importance of Vocabularies for Machine Translation Model Stealing
Vilém Zouhar
AAML
212
0
0
29 Jan 2024
The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics
Nikolay Bogoychev
Pinzhen Chen
Barry Haddow
Alexandra Birch
224
3
0
16 Nov 2023
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation
North American Chapter of the Association for Computational Linguistics (NAACL), 2022
Tobias Domhan
Eva Hasler
Ke M. Tran
Sony Trenous
Bill Byrne
Felix Hieber
171
6
0
13 May 2022
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