DE eng

Search in the Catalogues and Directories

Page: 1 2
Hits 1 – 20 of 33

1
Combining Static and Contextualised Multilingual Embeddings ...
BASE
Show details
2
Do Multilingual Language Models Capture Differing Moral Norms? ...
BASE
Show details
3
Modeling Target-Side Morphology in Neural Machine Translation: A Comparison of Strategies ...
Abstract: Morphologically rich languages pose difficulties to machine translation. Machine translation engines that rely on statistical learning from parallel training data, such as state-of-the-art neural systems, face challenges especially with rich morphology on the output language side. Key challenges of rich target-side morphology in data-driven machine translation include: (1) A large amount of differently inflected word surface forms entails a larger vocabulary and thus data sparsity. (2) Some inflected forms of infrequent terms typically do not appear in the training corpus, which makes closed-vocabulary systems unable to generate these unobserved variants. (3) Linguistic agreement requires the system to correctly match the grammatical categories between inflected word forms in the output sentence, both in terms of target-side morpho-syntactic wellformedness and semantic adequacy with respect to the input. In this paper, we re-investigate two target-side linguistic processing techniques: a lemma-tag strategy ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2203.13550
https://arxiv.org/abs/2203.13550
BASE
Hide details
4
Pushing the right buttons: adversarial evaluation of quality estimation
In: Proceedings of the Sixth Conference on Machine Translation ; 625 ; 638 (2022)
BASE
Show details
5
Do not neglect related languages: The case of low-resource Occitan cross-lingual word embeddings ...
BASE
Show details
6
Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation ...
BASE
Show details
7
Anchor-based Bilingual Word Embeddings for Low-Resource Languages ...
BASE
Show details
8
Improving Machine Translation of Rare and Unseen Word Senses ...
BASE
Show details
9
Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation ...
NAACL 2021 2021; Chronopoulou, Alexandra; Fraser, Alexander. - : Underline Science Inc., 2021
BASE
Show details
10
Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction ...
Severini, Silvia; Hangya, Viktor; Fraser, Alexander. - : Universitätsbibliothek der Ludwig-Maximilians-Universität München, 2020
BASE
Show details
11
Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction
BASE
Show details
12
Pragmatic information in translation: a corpus-based study of tense and mood in English and German ...
BASE
Show details
13
ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation ...
BASE
Show details
14
Anchor-based Bilingual Word Embeddings for Low-Resource Languages ...
BASE
Show details
15
On the Language Neutrality of Pre-trained Multilingual Representations ...
BASE
Show details
16
How Language-Neutral is Multilingual BERT? ...
BASE
Show details
17
Modeling the position and inflection of verbs in English to German machine translation
Fraser, Alexander [Akademischer Betreuer]; Ramm, Anita [Verfasser]. - Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2018
DNB Subject Category Language
Show details
18
Embedding Learning Through Multilingual Concept Induction
Fraser, Alexander; Zhao, Mengjie; Dufter, Philipp. - : Ludwig-Maximilians-Universität München, 2018
BASE
Show details
19
Embedding Learning Through Multilingual Concept Induction ...
BASE
Show details
20
Embedding Learning Through Multilingual Concept Induction ...
Dufter, Philipp; Zhao, Mengjie; Schmitt, Martin. - : Universitätsbibliothek der Ludwig-Maximilians-Universität München, 2018
BASE
Show details

Page: 1 2

Catalogues
1
0
2
0
2
0
0
Bibliographies
4
0
0
0
0
0
0
0
1
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
25
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern