When you turn on "combined search" and then search for a sign or word,
a list will show up. Click now on any attestation and then on "open related attestations"
to see all the signs' and words' attestations belonging to the same inscription.
transliteration mapping:
a → ꜥ X → ẖ A → ꜣ V → h̭ ' → ʾ S → š # → a q → ḳ i → ỉ T → ṯ j → i̯ v → ṱ x → ḫ D → ḏ
wildcards in word search:
?, _, § any character * any characters [abc] any of those characters (abc) optional characters >ab starts with 'ab' %ab% contains 'ab' %ab, ab$ ends in 'ab' en:abc english translation contains 'abc' de:abc german translation contains 'abc'
Drawing a shape in the yellow rectangle makes signs appear that the application
considers to be structurally similar.
Double- or right-clicking it
will clear the canvas.
An → arrow means "as part of, in".
Relative frequency shows the percentage of the attestations currently displayed.
syntactic contexts:
These are the most common units preceding, containing, or following the evidence currently visible.
references:
TLA dem: TM: DWL: CDD: EG: WB: TLA egy: CDO: DNB: AKU: HPDB: Isut: TSL: PHRP:variants:
These are the different shapes and spellings of the sign / word.
word contexts:
The current sign / word is used as part of these words.
timeline
The timeline depicts the periods which
the Demotic script is traditionally divided into:
Early Demotic (blue), early and late Middle Demotic
(orange and yellow), and Late Demotic (green).
The histogram (graph) on top of the timeline shows the
temporal distribution of the inscriptions (not of the
individual attestations). Each vertical bar's width corresponds
to an interval of 25 years.
If you narrow down the timeframe, then the yellowish
histogram relates to the visible data while the gray
histogram represents the unfiltered situation.
Each circle represents a location to which
inscriptions are assigned.
The size of a circle shows the relation between
the number of inscriptions at the corresponding
location and the total number of inscriptions
currently displayed.
Along the edge of each circle is a circular
timeline, which shows the dating of the
inscriptions assigned to the location.
12 o'clock corresponds to 650 BC and 500 AD
respectively.
Locations can be (de)selected by clicking on the
circles. Another option is to draw a rectangle with
the right mouse button. This option can also be
(de)activated by double clicking the map.
source distribution:
The circles indicate precisely dated inscriptions, while the rectangles relate to the approximately dated ones.
attestations:
The attestations are arranged on three levels.
1. From top to bottom, the places are listed from north to south.
2. Each place contains inscriptions, which are sorted chronologically
from left to right.
An inscription is a text written by a scribe
at a particular time on a particular object.
Usually, such a unit represents a Demotic papyrus, but if
two scribes wrote on the same papyrus, then two inscriptions
are displayed.
The color of the border of each inscription relates to the
time period during which the text was written.
If the exact date of the text is unknown, then the arithmetic mean
of the time period the text supposedly was written in is used.
3. Each inscription contains the actual attestations.
All of them were written by the same scribe at the same time on the same object.
The numbers in the front of the images indicate how many attestations
the inscription contains and how many of them are currently displayed (and not filtered out).
You will only see the first few however, unless you click on the
inscription (not the images) to see the rest of it.
Click on the images to get more information about the attestations.
materiality:
Filter the evidence by (de)selecting some or all materials.
text types:
Filter the evidence by (de)selecting some or all
text types.
→ Note that the assignment of text types has been
done in an unsystematic way so far.
morphology:
Filter the evidence by (de)selecting some or all
morphological forms.
→ Note that not all of attestations have been tagged
so far.
correlations:
variant clusters:
(experimental)
→ use these data mining / unsupervised learning tools to discover hidden structures
in the data.
The application measures the correlation between variants and places, variants
and periods, etc.
For each combination, the distribution of the inscriptions is put into a contingency
table.
e.g.:
(n = 20 inscriptions)place X not place X variant Y 2 inscriptions 10 inscriptions not variant Y 8 inscriptions 0 inscriptions
The application then calculates the phi coefficient, which measures the association
of the combination.
Its values range between -1 and 1, with 1 indicating a perfect relationship.
The combination is put on the screen, if the phi coefficient is larger than the
threshold of 0.8.
If the number of inscriptions is less than 10, no calculations are made.
It is also possible to create a dendrogram of variant clusters based on
different variant features.