Morphological Generation Task

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A Morphological Generation Task is a Morphological Parsing Task that can generates a Surface Word based on a Base Word and Inflectionals and Orthographic Rules.



References

2019

  • (Wikipedia, 2019) ⇒ https://en.wikipedia.org/wiki/Morphological_parsing Retrieved:2019-1-25.
    • Morphological parsing, in natural language processing, is the process of determining the morphemes from which a given word is constructed. It must be able to distinguish between orthographic rules and morphological rules. For example, the word 'foxes' can be decomposed into 'fox' (the stem), and 'es' (a suffix indicating plurality).

      The generally accepted approach to morphological parsing is through the use of a finite state transducer (FST), which inputs words and outputs their stem and modifiers. The FST is initially created through algorithmic parsing of some word source, such as a dictionary, complete with modifier markups.

      Another approach is through the use of an indexed lookup method, which uses a constructed radix tree. This is not an often-taken route because it breaks down for morphologically complex languages.

2018