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{MT}-{T}elescope: {A}n interactive platform for contrastive evaluation of {MT} systems ...
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ParaMor: Finding Paradigms across Morphology ...
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Abstract:
Our algorithm, ParaMor, fared well in Morpho Challenge 2007 (Kurimo et al., 2007), a peer operated competition pitting against one another algorithms designed to discover the morphological structure of natural languages from nothing more than raw text. ParaMor constructs sets of affixes closely mimicking the paradigms of a language, and, with these structures in hand, annotates word forms with morpheme boundaries. Of the four language tracks in Morpho Challenge 2007, we entered ParaMor in English and German. Morpho Challenge 2007 evaluated systems on their precision, recall, and balanced F1 at identifying morphological processes, whether those processes mark derivational morphology or inflectional features. In English, ParaMor’s balanced precision and recall outperform at F1 an already sophisticated baseline induction algorithm, Morfessor (Creutz, 2006). ParaMor placed fourth in English overall. In German, ParaMor suffers from a low morpheme recall. But combining ParaMor’s analyses with analyses from ...
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Keyword:
80399 Computer Software not elsewhere classified; FOS Computer and information sciences
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URL: https://figshare.com/articles/ParaMor_Finding_Paradigms_across_Morphology/6625118 https://dx.doi.org/10.1184/r1/6625118
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ParaMor: Minimally-Supervised Induction of Paradigm Structure and Morphological Analysis ...
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The Impact of Arabic Morphological Segmentation on Broad-coverage English-to-Arabic Statistical Machine Translation ...
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The Impact of Arabic Morphological Segmentation on Broad-coverage English-to-Arabic Statistical Machine Translation ...
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A Framework for Interactive and Automatic Refinement of Transfer-based Machine Translation ...
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A Framework for Interactive and Automatic Refinement of Transfer-based Machine Translation ...
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Domain and Dialect Adaptation for Machine Translation into Egyptian Arabic ...
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Domain and Dialect Adaptation for Machine Translation into Egyptian Arabic ...
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Locally Non-Linear Learning for Statistical Machine Translation via Discretization and Structured Regularization ...
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Locally Non-Linear Learning for Statistical Machine Translation via Discretization and Structured Regularization ...
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