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Hits 1 – 2 of 2
1
Evaluating the Morphosyntactic Well-formedness of Generated Texts ...
Pratapa, Adithya
;
Anastasopoulos, Antonios
;
Rijhwani, Shruti
;
Chaudhary, Aditi
;
Mortensen, David R.
;
Neubig, Graham
;
Tsvetkov, Yulia
. - : arXiv, 2021
Abstract:
Text generation systems are ubiquitous in natural language processing applications. However, evaluation of these systems remains a challenge, especially in multilingual settings. In this paper, we propose L'AMBRE -- a metric to evaluate the morphosyntactic well-formedness of text using its dependency parse and morphosyntactic rules of the language. We present a way to automatically extract various rules governing morphosyntax directly from dependency treebanks. To tackle the noisy outputs from text generation systems, we propose a simple methodology to train robust parsers. We show the effectiveness of our metric on the task of machine translation through a diachronic study of systems translating into morphologically-rich languages. ... : EMNLP 2021 camera-ready ...
Keyword:
Computation and Language cs.CL
;
FOS Computer and information sciences
URL:
https://arxiv.org/abs/2103.16590
https://dx.doi.org/10.48550/arxiv.2103.16590
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2
Automatic Extraction of Rules Governing Morphological Agreement ...
Chaudhary, Aditi
;
Anastasopoulos, Antonios
;
Pratapa, Adithya
. - : arXiv, 2020
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