DE eng

Search in the Catalogues and Directories

Page: 1 2 3 4 5...48
Hits 1 – 20 of 957

1
Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse​ ...
BASE
Show details
2
Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ...
BASE
Show details
3
Correcting Chinese Spelling Errors with Phonetic Pre-training ...
BASE
Show details
4
PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction ...
BASE
Show details
5
Including Signed Languages in Natural Language Processing ...
BASE
Show details
6
When is Char Better Than Subword: A Systematic Study of Segmentation Algorithms for Neural Machine Translation ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-short.69 Abstract: Subword segmentation algorithms have been a \textit{de facto} choice when building neural machine translation systems. However, most of them need to learn a segmentation model based on some heuristics, which may produce sub-optimal segmentation. This can be problematic in some scenarios when the target language has rich morphological changes or there is not enough data for learning compact composition rules. Translating at fully character level has the potential to alleviate the issue, but empirical performances of character-based models has not been fully explored. In this paper, we present an in-depth comparison between character-based and subword-based NMT systems under three settings: translating to typologically diverse languages, training with low resource, and adapting to unseen domains. Experiment results show strong competitiveness of character-based models. Further analyses show that compared to subword-based models, ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://dx.doi.org/10.48448/mz1t-5939
https://underline.io/lecture/25626-when-is-char-better-than-subword-a-systematic-study-of-segmentation-algorithms-for-neural-machine-translation
BASE
Hide details
7
To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings ...
BASE
Show details
8
Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words ...
BASE
Show details
9
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification ...
BASE
Show details
10
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations ...
BASE
Show details
11
How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements ...
BASE
Show details
12
Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
BASE
Show details
13
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding ...
BASE
Show details
14
Towards Protecting Vital Healthcare Programs by Extracting Actionable Knowledge from Policy ...
BASE
Show details
15
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation ...
BASE
Show details
16
Automated Concatenation of Embeddings for Structured Prediction ...
BASE
Show details
17
QASR: QCRI Aljazeera Speech Resource A Large Scale Annotated Arabic Speech Corpus ...
BASE
Show details
18
Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data ...
BASE
Show details
19
Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification ...
BASE
Show details
20
Scaling Within Document Coreference to Long Texts ...
BASE
Show details

Page: 1 2 3 4 5...48

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
957
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern