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Evaluating the Morphosyntactic Well-formedness of Generated Texts ...
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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 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2103.16590 https://dx.doi.org/10.48550/arxiv.2103.16590
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Lexically Aware Semi-Supervised Learning for OCR Post-Correction ...
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Dependency Induction Through the Lens of Visual Perception ...
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A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization ...
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Zero-shot Neural Transfer for Cross-lingual Entity Linking ...
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