bibtex_url stringlengths 41 53 | acl_proceedings stringlengths 38 50 | bibtext stringlengths 528 3.02k | abstract stringlengths 17 2.35k | authors listlengths 1 44 | title stringlengths 18 190 | id stringlengths 7 19 | arxiv_id stringlengths 10 10 ⌀ | GitHub listlengths 1 1 | paper_page stringclasses 528
values | n_linked_authors int64 -1 15 | upvotes int64 -1 77 | num_comments int64 -1 10 | n_authors int64 -1 52 | Models listlengths 0 100 | Datasets listlengths 0 15 | Spaces listlengths 0 46 | paper_page_exists_pre_conf int64 0 1 | type stringclasses 2
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
https://aclanthology.org/2023.wmt-1.94.bib | https://aclanthology.org/2023.wmt-1.94/ | @inproceedings{zhang-2023-iol-research,
title = "{IOL} Research Machine Translation Systems for {WMT}23 Low-Resource {I}ndic Language Translation Shared Task",
author = "Zhang, Wenbo",
editor = "Koehn, Philipp and
Haddow, Barry and
Kocmi, Tom and
Monz, Christof",
booktitle = "Procee... | This paper describes the IOL Research team{'}s submission systems for the WMT23 low-resource Indic language translation shared task. We participated in 4 language pairs, including en-as, en-mz, en-kha, en-mn. We use transformer based neural network architecture to train our machine translation models. Overall, the core... | [
"Zhang, Wenbo"
] | IOL Research Machine Translation Systems for WMT23 Low-Resource Indic Language Translation Shared Task | wmt-1.94 | null | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.wmt-1.95.bib | https://aclanthology.org/2023.wmt-1.95/ | @inproceedings{vamvas-etal-2023-trained,
title = "Trained {MT} Metrics Learn to Cope with Machine-translated References",
author = "Vamvas, Jannis and
Domhan, Tobias and
Trenous, Sony and
Sennrich, Rico and
Hasler, Eva",
editor = "Koehn, Philipp and
Haddow, Barry and
... | Neural metrics trained on human evaluations of MT tend to correlate well with human judgments, but their behavior is not fully understood. In this paper, we perform a controlled experiment and compare a baseline metric that has not been trained on human evaluations (Prism) to a trained version of the same metric (Prism... | [
"Vamvas, Jannis",
"Domhan, Tobias",
"Trenous, Sony",
"Sennrich, Rico",
"Hasler, Eva"
] | Trained MT Metrics Learn to Cope with Machine-translated References | wmt-1.95 | 2312.00536 | [
"https://github.com/amazon-science/prism-finetuned"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.wmt-1.96.bib | https://aclanthology.org/2023.wmt-1.96/ | @inproceedings{deutsch-etal-2023-training,
title = "Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level",
author = "Deutsch, Daniel and
Juraska, Juraj and
Finkelstein, Mara and
Freitag, Markus",
editor = "Koehn, Philipp and
Haddow, Barry an... | As research on machine translation moves to translating text beyond the sentence level, it remains unclear how effective automatic evaluation metrics are at scoring longer translations. In this work, we first propose a method for creating paragraph-level data for training and meta-evaluating metrics from existing sente... | [
"Deutsch, Daniel",
"Juraska, Juraj",
"Finkelstein, Mara",
"Freitag, Markus"
] | Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level | wmt-1.96 | 2308.13506 | [
""
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.wmt-1.97.bib | https://aclanthology.org/2023.wmt-1.97/ | @inproceedings{ferrando-etal-2023-automating,
title = "Automating Behavioral Testing in Machine Translation",
author = "Ferrando, Javier and
Sperber, Matthias and
Setiawan, Hendra and
Telaar, Dominic and
Hasan, Sa{\v{s}}a",
editor = "Koehn, Philipp and
Haddow, Barry and
... | Behavioral testing in NLP allows fine-grained evaluation of systems by examining their linguistic capabilities through the analysis of input-output behavior. Unfortunately, existing work on behavioral testing in Machine Translation (MT) is currently restricted to largely handcrafted tests covering a limited range of ca... | [
"Ferr",
"o, Javier",
"Sperber, Matthias",
"Setiawan, Hendra",
"Telaar, Dominic",
"Hasan, Sa{\\v{s}}a"
] | Automating Behavioral Testing in Machine Translation | wmt-1.97 | null | [
"https://github.com/apple/ml-behavioral-testing-for-mt"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.wmt-1.98.bib | https://aclanthology.org/2023.wmt-1.98/ | @inproceedings{pires-etal-2023-one,
title = "One Wide Feedforward Is All You Need",
author = "Pires, Telmo and
Vilarinho Lopes, Ant{\'o}nio and
Assogba, Yannick and
Setiawan, Hendra",
editor = "Koehn, Philipp and
Haddow, Barry and
Kocmi, Tom and
Monz, Christof",
... | The Transformer architecture has two main non-embedding components: Attention and the Feed Forward Network (FFN). Attention captures interdependencies between words regardless of their position, while the FFN non-linearly transforms each input token independently. In this work we explore the role of the FFN, and find t... | [
"Pires, Telmo",
"Vilarinho Lopes, Ant{\\'o}nio",
"Assogba, Yannick",
"Setiawan, Hendra"
] | One Wide Feedforward Is All You Need | wmt-1.98 | 2309.01826 | [
""
] | https://huggingface.co/papers/2309.01826 | 3 | 31 | 1 | 4 | [] | [] | [] | 1 | Poster |
https://aclanthology.org/2023.wmt-1.99.bib | https://aclanthology.org/2023.wmt-1.99/ | @inproceedings{aepli-etal-2023-benchmark,
title = "A Benchmark for Evaluating Machine Translation Metrics on Dialects without Standard Orthography",
author = {Aepli, No{\"e}mi and
Amrhein, Chantal and
Schottmann, Florian and
Sennrich, Rico},
editor = "Koehn, Philipp and
Haddow, B... | For sensible progress in natural language processing, it is important that we are aware of the limitations of the evaluation metrics we use. In this work, we evaluate how robust metrics are to non-standardized dialects, i.e. spelling differences in language varieties that do not have a standard orthography. To investig... | [
"Aepli, No{\\\"e}mi",
"Amrhein, Chantal",
"Schottmann, Florian",
"Sennrich, Rico"
] | A Benchmark for Evaluating Machine Translation Metrics on Dialects without Standard Orthography | wmt-1.99 | 2311.16865 | [
"https://github.com/microsofttranslator/ntrex"
] | -1 | -1 | -1 | -1 | [] | [] | [] | 0 | Poster | |
https://aclanthology.org/2023.wmt-1.100.bib | https://aclanthology.org/2023.wmt-1.100/ | @inproceedings{fernandes-etal-2023-devil,
title = "The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation",
author = "Fernandes, Patrick and
Deutsch, Daniel and
Finkelstein, Mara and
Riley, Parker and
Martins, Andr{\'e} and
... | Automatic evaluation of machine translation (MT) is a critical tool driving the rapid iterative development of MT systems. While considerable progress has been made on estimating a single scalar quality score, current metrics lack the informativeness of more detailed schemes that annotate individual errors, such as Mul... | [
"Fern",
"es, Patrick",
"Deutsch, Daniel",
"Finkelstein, Mara",
"Riley, Parker",
"Martins, Andr{\\'e}",
"Neubig, Graham",
"Garg, Ankush",
"Clark, Jonathan",
"Freitag, Markus",
"Firat, Orhan"
] | The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation | wmt-1.100 | 2308.07286 | [
""
] | https://huggingface.co/papers/2308.07286 | 5 | 5 | 0 | 10 | [] | [] | [] | 1 | Poster |
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