Chantal Amrhein
11 papers · 2020–2023 · 5 conferences · across top CS/AI conferences
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EMNLP (6)
ACL (2)
AACL (1)
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Keywords
machine translation
(5)
machine translation metrics
(3)
evaluation metric
(2)
neural metric
(2)
challenge set
(2)
minimum bayes risk
(2)
transfer learning
(2)
translation accuracy
(2)
machine translation evaluation
(2)
natural language inference
(1)
few-shot learning
(1)
loss function
(1)
end-to-end translation
(1)
speech processing
(1)
attention mechanism
(1)
error analysis
(1)
neural machine translation
(1)
accuracy evaluation
(1)
translation quality
(1)
sequence-to-sequence model
(1)
Papers
ACES: Translation Accuracy Challenge Sets at WMT 2023
EMNLP 2023
Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model
ACL 2023
Evaluating the Effectiveness of Natural Language Inference for Hate Speech Detection in Languages with Limited Labeled Data
ACL 2023
A Benchmark for Evaluating Machine Translation Metrics on Dialects without Standard Orthography
EMNLP 2023
Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET
AACL 2022
Donโt Discard Fixed-Window Audio Segmentation in Speech-to-Text Translation
EMNLP 2022
ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics
EMNLP 2022
Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET
IJCNLP 2022
On Biasing Transformer Attention Towards Monotonicity
NAACL 2021
How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology?
EMNLP 2021
On Romanization for Model Transfer Between Scripts in Neural Machine Translation
EMNLP 2020