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ParaMor: Minimally-Supervised Induction of Paradigm Structure and Morphological Analysis ...
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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 F 1 at identifying morphological processes, whether those processes mark derivational morphology or inflectional features. In English, ParaMor’s balanced precision and recall outperform at F 1 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:
89999 Information and Computing Sciences not elsewhere classified; FOS Computer and information sciences
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URL: https://dx.doi.org/10.1184/r1/6608282 https://figshare.com/articles/ParaMor_Finding_Paradigms_across_Morphology/6608282
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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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Unsupervised Induction of Natural Language Morphology Inflection Classes ...
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Unsupervised Induction of Natural Language Morphology Inflection Classes ...
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Linguistic Structure and Bilingual Informants Help Induce Machine Translation of Lesser-Resourced Languages ...
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Linguistic Structure and Bilingual Informants Help Induce Machine Translation of Lesser-Resourced Languages ...
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Extraction of Syntactic Translation Models from Parallel Data using Syntax from Source and Target Languages ...
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Extraction of Syntactic Translation Models from Parallel Data using Syntax from Source and Target Languages ...
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Evaluating an Agglutinative Segmentation Model for ParaMor ...
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Evaluating an Agglutinative Segmentation Model for ParaMor ...
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Linguistic Structure and Bilingual Informants to Induce Machine Translation of Lesser-Resourced Languages ...
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Linguistic Structure and Bilingual Informants to Induce Machine Translation of Lesser-Resourced Languages ...
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Data Collection and Language Technologies for Mapudungun ...
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