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1
Deep interactive text prediction and quality estimation in translation interfaces
Hokamp, Christopher M.. - : Dublin City University. School of Computing, 2018
In: Hokamp, Christopher M. (2018) Deep interactive text prediction and quality estimation in translation interfaces. PhD thesis, Dublin City University. (2018)
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2
INFODENS: An Open-source Framework for Learning Text Representations ...
Abstract: The advent of representation learning methods enabled large performance gains on various language tasks, alleviating the need for manual feature engineering. While engineered representations are usually based on some linguistic understanding and are therefore more interpretable, learned representations are harder to interpret. Empirically studying the complementarity of both approaches can provide more linguistic insights that would help reach a better compromise between interpretability and performance. We present INFODENS, a framework for studying learned and engineered representations of text in the context of text classification tasks. It is designed to simplify the tasks of feature engineering as well as provide the groundwork for extracting learned features and combining both approaches. INFODENS is flexible, extensible, with a short learning curve, and is easy to integrate with many of the available and widely used natural language processing tools. ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1810.07091
https://arxiv.org/abs/1810.07091
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3
Query Translation for Cross-lingual Search in the Academic Search Engine PubPsych ...
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Query Translation for Cross-lingual Search in the Academic Search Engine PubPsych ...
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5
A Hybrid Machine Translation Framework for an Improved Translation Workflow
Pal, Santanu. - : Saarländische Universitäts- und Landesbibliothek, 2018
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