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1
NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender-Neutral Alternatives ...
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2
A Novel Pipeline for Domain Detection and Selecting In-domain Sentences in Machine Translation Systems ...
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3
A Novel Pipeline for Domain Detection and Selecting In-domain Sentences in Machine Translation Systems ...
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4
A Novel Pipeline for Domain Detection and Selecting In-domain Sentences in Machine Translation Systems ...
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5
NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender Neutral Alternatives ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.704/ Abstract: Recent years have seen an increasing need for gender-neutral and inclusive language. Within the field of NLP, there are various mono- and bilingual use cases where gender inclusive language is appropriate, if not preferred due to ambiguity or uncertainty in terms of the gender of referents. In this work, we present a rule-based and a neural approach to gender-neutral rewriting for English along with manually curated synthetic data (WinoBias+) and natural data (OpenSubtitles and Reddit) benchmarks. A detailed manual and automatic evaluation highlights how our NeuTral Rewriter, trained on data generated by the rule-based approach, obtains word error rates (WER) below 0.18% on synthetic, in-domain and out-domain test sets. ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
URL: https://dx.doi.org/10.48448/eevw-6156
https://underline.io/lecture/37797-neutral-rewriter-a-rule-based-and-neural-approach-to-automatic-rewriting-into-gender-neutral-alternatives
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6
Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation ...
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7
Defining meaningful units. Challenges in sign segmentation and segment-meaning mapping ; 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL 2021)
Leeson, Lorraine; De Sisto, Mirella; Shterionov, Dimitar. - : Association for Machine Translation in the Americas, 2021
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