DE eng

Search in the Catalogues and Directories

Hits 1 – 14 of 14

1
Graph Neural Networks for Multiparallel Word Alignment ...
BASE
Show details
2
CaMEL: Case Marker Extraction without Labels ...
BASE
Show details
3
Graph Algorithms for Multiparallel Word Alignment
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ; The 2021 Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-03424044 ; The 2021 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Nov 2021, Punta Cana, Dominica ; https://2021.emnlp.org/ (2021)
BASE
Show details
4
ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus ...
BASE
Show details
5
Graph Algorithms for Multiparallel Word Alignment ...
BASE
Show details
6
ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus ...
BASE
Show details
7
Graph Algorithms for Multiparallel Word Alignment ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.665/ Abstract: Massively multilingual processing is becoming an important NLP scenario, and pretrained language and machine translation models that are truly multilingual are proposed. While word alignment is an important task, most word-alignment algorithms rely on bitexts only and do not leverage the multilingual models nor multiparallel corpora. I will present how we can exploit multiparallelity of a corpus to find new word alignment links. I will present two graph algorithms for edge prediction: one inspired by recommender systems and one based on network link prediction. I will show that experimental results can achieve absolute improvements of F1 of up to 21% over the baseline bilingual word aligner in different datasets. ...
Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Machine translation; Natural Language Processing
URL: https://dx.doi.org/10.48448/b7n9-xs56
https://underline.io/lecture/37652-graph-algorithms-for-multiparallel-word-alignment
BASE
Hide details
8
SimAlign: High Quality Word Alignments Without Parallel Training Data Using Static and Contextualized Embeddings
In: EMNLP 2020 ; https://hal.archives-ouvertes.fr/hal-03013194 ; EMNLP 2020, Association for Computational Linguistics, Nov 2020, Online, United States. pp.1627 - 1643 (2020)
BASE
Show details
9
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings
In: Findings of ACL: EMNLP 2020 (2020)
BASE
Show details
10
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings ...
BASE
Show details
11
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings ...
Sabet, Masoud Jalili; Dufter, Philipp; Schütze, Hinrich. - : Universitätsbibliothek der Ludwig-Maximilians-Universität München, 2020
BASE
Show details
12
The Effect of Mediation via the Interventionist Model of Dynamic Assessment on Reading Comprehension: Evidence from Iranian EFL Learners
In: Journal of Education and Practice; Vol 8, No 35 (2017); 169-180 (2018)
BASE
Show details
13
Automatic translation memory cleaning [<Journal>]
Negri, Matteo [Verfasser]; Ataman, Duygu [Sonstige]; Sabet, Masoud Jalili [Sonstige].
DNB Subject Category Language
Show details
14
Visual and Spoken Texts in MCALL Courseware: The Effects of Text Modalities on the Vocabulary Retention of EFL Learners
In: English Language Teaching; Vol 3, No 2 (2010); P30 (2010)
BASE
Show details

Catalogues
0
0
0
0
1
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
13
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern