1 |
Source language difficulties in learner translation: Evidence from an error-annotated corpus
|
|
|
|
BASE
|
|
Show details
|
|
2 |
An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual Transformers ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
An exploratory analysis of multilingual word-level quality estimation with cross-lingual transformers
|
|
|
|
BASE
|
|
Show details
|
|
4 |
A sequence labelling approach for automatic analysis of ello: tagging pronouns, antecedents, and connective phrases
|
|
|
|
BASE
|
|
Show details
|
|
5 |
TransQuest at WMT2020: Sentence-Level direct assessment
|
|
|
|
In: 1049 ; 1055 (2020)
|
|
BASE
|
|
Show details
|
|
6 |
TransQuest: Translation quality estimation with cross-lingual transformers
|
|
|
|
In: 5070 ; 5081 (2020)
|
|
BASE
|
|
Show details
|
|
7 |
Intelligent translation memory matching and retrieval with sentence encoders
|
|
|
|
In: 175 ; 184 (2020)
|
|
BASE
|
|
Show details
|
|
8 |
Contributions to the Computational Treatment of Non-literal Language
|
|
|
|
BASE
|
|
Show details
|
|
9 |
What matters more: the size of the corpora or their quality? The case of automatic translation of multiword expressions using comparable corpora.
|
|
|
|
BASE
|
|
Show details
|
|
11 |
RGCL at SemEval-2020 task 6: Neural approaches to definition extraction
|
|
|
|
In: 717 ; 723 (2020)
|
|
BASE
|
|
Show details
|
|
12 |
Automated text simplification as a preprocessing step for machine translation into an under-resourced language
|
|
|
|
In: Štajner, Sanja orcid:0000-0002-7780-7035 and Popović, Maja orcid:0000-0001-8234-8745 (2019) Automated text simplification as a preprocessing step for machine translation into an under-resourced language. In: Recent Advances in Natural Language Processing (RANLP 2019), 2-4 Sept 2019, Varna, Bulgaria. (2019)
|
|
Abstract:
In this work, we investigate the possibility of using fully automatic text simplification system on the English source in machine translation (MT) for improving its translation into an under-resourced language. We use the state-of-the-art automatic text simplification (ATS) system for lexically and syntactically simplifying source sentences, which are then translated with two state-of-the-art English-to-Serbian MT systems, the phrase-based MT (PBMT) and the neural MT (NMT). We explore three different scenarios for using the ATS in MT: (1) using the raw output of the ATS; (2) automatically filtering out the sentences with low grammaticality and meaning preservation scores; and (3) performing a minimal manual correction of the ATS output. Our results show improvement in fluency of the translation regardless of the chosen scenario, and difference in success of the three scenarios depending on the MT approach used (PBMT or NMT) with regards to improving translation fluency and post-editing effort.
|
|
Keyword:
Machine translating
|
|
URL: http://doras.dcu.ie/24479/
|
|
BASE
|
|
Hide details
|
|
13 |
Are ambiguous conjunctions problematic for machine translation?
|
|
|
|
In: Popović, Maja orcid:0000-0001-8234-8745 and Castilho, Sheila orcid:0000-0002-8416-6555 (2019) Are ambiguous conjunctions problematic for machine translation? In: Recent Advances in Natural Language Processing (RANLP 2019), 2 - 4 Sept 2019, Varna, Bulgaria. (2019)
|
|
BASE
|
|
Show details
|
|
14 |
Natural Language Generation
|
|
|
|
In: Handbook of Computational Linguistics (2nd edition) ; https://hal.archives-ouvertes.fr/hal-02079245 ; Mitkov, Ruslan. Handbook of Computational Linguistics (2nd edition), In press (2019)
|
|
BASE
|
|
Show details
|
|
15 |
Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions ...
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Summary Refinement through Denoising
|
|
|
|
In: Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019) (2019)
|
|
BASE
|
|
Show details
|
|
17 |
Large-Scale Hierarchical Alignment for Data-driven Text Rewriting
|
|
|
|
In: Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019) (2019)
|
|
BASE
|
|
Show details
|
|
18 |
Do Online Resources Give Satisfactory Answers to Questions about Meaning and Phraseology?
|
|
|
|
BASE
|
|
Show details
|
|
19 |
RGCL at IDAT: deep learning models for irony detection in Arabic language
|
|
|
|
In: 2517 ; 416 ; 425 (2019)
|
|
BASE
|
|
Show details
|
|
20 |
Bridging the gap: attending to discontinuity in identification of multiword expressions
|
|
|
|
BASE
|
|
Show details
|
|
|
|