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Ambiguity problems pertain mainly due to the limited longitudinal coverage of optical observations.
I also show how these kinds of features can be applied to other structural ambiguity problems, like prepositional phrase attachment and noun phrase coordination.
Thus, the inaccuracy and ambiguity problems of freehand sketch inputs are alleviated within Sketch2Jewelry, compared to previous commercial feature-based modeling tools, e.g. SolidWorks, which are limited to fake sketches (i.e. not real freehand inputs).
By means of this conceptual model we can solve meaning ambiguity problems.
2π ambiguity problems result from the fine delay search procedure, both in conventional VLBI and NBV.
When we find words with different meanings, a structured formal ontology can help us to solve ambiguity problems (Evans and Frankish 2008; Frixione and Frankish 2013).
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Solving the ambiguity problem needs a complex method which is a combination of topology and geometry.
It has been known since 1962 that the ambiguity problem for context-free grammars is undecidable.
Relative rotation on two adjacent HF frequencies is used to solve the ambiguity problem.
Clayton said that Nuance tries to handle the ambiguity problem with algorithms that derive meaning from probabilistic combinations of words.
Nevertheless, further refinement of the test design especially in relation to possible loss of ambiguity problem is necessary.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com