4 |
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Including Signed Languages in Natural Language Processing ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Including Signed Languages in Natural Language Processing ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand? ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Measuring and Improving Consistency in Pretrained Language Models ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Aligning Faithful Interpretations with their Social Attribution ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Amnesic Probing: Behavioral Explanation With Amnesic Counterfactuals ...
|
|
|
|
BASE
|
|
Show details
|
|
12 |
Data Augmentation for Sign Language Gloss Translation ...
|
|
|
|
Abstract:
Sign language translation (SLT) is often decomposed into video-to-gloss recognition and gloss-to-text translation, where a gloss is a sequence of transcribed spoken-language words in the order in which they are signed. We focus here on gloss-to-text translation, which we treat as a low-resource neural machine translation (NMT) problem. However, unlike traditional low-resource NMT, gloss-to-text translation differs because gloss-text pairs often have a higher lexical overlap and lower syntactic overlap than pairs of spoken languages. We exploit this lexical overlap and handle syntactic divergence by proposing two rule-based heuristics that generate pseudo-parallel gloss-text pairs from monolingual spoken language text. By pre-training on the thus obtained synthetic data, we improve translation from American Sign Language (ASL) to English and German Sign Language (DGS) to German by up to 3.14 and 2.20 BLEU, respectively. ... : 4 pages, 1 page abstract ...
|
|
Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
|
|
URL: https://arxiv.org/abs/2105.07476 https://dx.doi.org/10.48550/arxiv.2105.07476
|
|
BASE
|
|
Hide details
|
|
13 |
Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent ...
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Asking It All: Generating Contextualized Questions for any Semantic Role ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction ...
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|