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== Challenges == Many challenges exist in the decipherment of languages, including when:<ref name=":0" /><ref name=":2" /> * When it is not known which language is closest to it. * When the words in the script are not clearly segmented, like in some [[Iberian language]]s. * When the writing system is not known. In specific, if there is little certainty towards the number of graphemes that exist in a certain writing system, it cannot be determined if that system is an alphabet, a syllabry, a logosyllabry, or something else. * When the reading direction is not known. For example, it may not be clear if a writing system is meant to be read from left to right, or from right to left. * When it is not known if a script uses punctuation or spaces between words. * When the language of a script subject to decipherment efforts is not known. * When there is a small dataset available to learn about the properties of a script. This could lead to issues such as an incomplete vocabulary being known for the script. * When the typical order between subjects, objects, and verbs is not known. * When it is not known whether or how certain words can change their form. * When it is not known when multiple symbols are used to represent the same sound, syllable, word, concept, or idea (allographs). * When it is not clear how the penmanship or the style of writing of a particular scribe relates to the style of writing of another scribe working in the same text (the same letters or words might be written in a way that looks different), in which case it is difficult to correlate information across multiple examples of the use of the writing system. * When it is not known if certain words change their meaning depending on the context they appear in (homonyms). * When the context of discovery of a writing is not known. This is because information about the location out of which a writing system came from can provide valuable information about its relationship to known languages. * When adequate digital datasets for documented writing systems is not available, limiting the ability to use computational methods for decipherment. * When sufficient hardware resources, such as [[High-performance computing|high performance computing]], is not available (which might be necessary for more energy-intensive computational methods).
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