| Challenge: | a computational tool for Mapudüngun language is developed using finite state technology . it is the first of its kind for the language and is available as a web service for free . |
| Approach: | They propose to develop a morphological and phonological machine for Mapudüngun using finite state technology. |
| Outcome: | The proposed system is the first of its kind for the Mapuche language and is available for public use through a web interface. |
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| Challenge: | a morphological transducer for Sakha is being developed for use in downstream tasks . the marginalised language is subject to increasing economic and cultural peril due to climate change . |
| Approach: | They describe the development of a morphological analyser and generator for Sakha . the transducer has coverage of solidly above 90%, and high precision . it is already being used in downstream tasks such as linguistic maintenance . |
| Outcome: | The proposed morphological analyser has coverage of 90% and high precision . it is already being used in computer assisted language learning applications . |
A Finite-State Morphological Analyser for Evenki (2020.lrec-1)
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| Challenge: | Evenki is a language with rich morphology, therefore a morphological analyser is highly desirable for processing Evenki texts. |
| Approach: | They propose to use a morphological analyser for Evenki to analyze half of the corpus . they evaluate the morphology of available corpora and estimate accuracy, recall and F-score . |
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An Unsupervised Method for Weighting Finite-state Morphological Analyzers (2020.lrec-1)
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| Challenge: | Morphological analysis is one of the tasks that have been studied for years. |
| Approach: | They propose a method for weighting a morphological analyzer built using finite state transducers in order to disambiguate its results. |
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Bootstrapping Techniques for Polysynthetic Morphological Analysis (2020.acl-main)
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| Challenge: | Polysynthetic languages have exceptionally large and sparse vocabularies due to the number of morpheme slots and combinations in a word. |
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| Challenge: | a morphological analyzer is useful for languages without natural word boundaries, but it is difficult to improve it without creating costly annotations. |
| Approach: | They propose a toolkit for developing morphological analyzers for languages without natural word boundaries using lattices and neural nets. |
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Visualizing Inferred Morphotactic Systems (N19-4)
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| Challenge: | a web-based system facilitates the exploration of complex morphological patterns found in morphology rich languages. |
| Approach: | They propose a web-based system that facilitates the exploration of complex morphological patterns found in morphology rich languages. |
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Web-based Annotation Interface for Derivational Morphology (2022.naacl-demo)
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| Challenge: | a visual interface for manual annotation of language resources for derivational morphology is created using relatively simple programming techniques. |
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To compress or not to compress? A Finite-State approach to Nen verbal morphology (2020.acl-srw)
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Finite-state morphological analysis for Gagauz (L18-1)
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| Challenge: | a finite-state approach to morphological analysis and generation of Gagauz is used . the model has a reasonable coverage over a range of freely-available corpora . |
| Approach: | They propose a finite-state approach to morphological analysis and generation of Gagauz . they explicitly handle orthographic errors and variance, in addition to loan words . |
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Rich Character-Level Information for Korean Morphological Analysis and Part-of-Speech Tagging (C18-1)
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| Challenge: | Korean is a highly agglutinative, character-rich language, requiring dictionary-less morphological analysis . a novel model can perform morphology and part-of-speech tagging without prior knowledge . |
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