To get started: consult start

Annotate¶

Text-Fabric is a tool for computing with read only datasets. How can you manually annotate an existing dataset?

The scenario is: export the portions that must be annotated into a plain text file, accompanied with location information.

Use an external tool, e.g. BRAT to manually annotate that text.

Read the resulting annotations, combine them with the location information, and export the result as a new feature or set of features.

These new features can be published anywhere, see the share tutorial, and users that want to make use of the new features, can tell Text-Fabric to fetch it from the published location alongside the main dataset.

From this point on, the new features act as first class citizens in the dataset.

Note how this does not involve modifying existing datasets!

%load_ext autoreload
%autoreload 2

import os
from tf.app import use
from tf.convert.recorder import Recorder
from tf.dataset import Versions

NB: We used version 0.4 of this data set to export material, annotate the exported material, and draw in those annotation as a bunch of new features. However, in the meanwhile we have newer versions of the missieven data, where different encoding decisions have been applied.

Rather than doing the annotation work again, we want to migrate the annotations from 0.4 to 0.7. We shall show how.

First we show how we made the annotations in 0.4, and to that end we use a previous version of the data.

We have to overcome the fact that in those times this repository resided under a different organization on GitHub (Dans-labs) and had a different name (clariah-gm). Also, the TF-app for this dataset resided in annotation/app-missieven, while it is now in clariah/wp6-missieven/app.

It is still possible to work with that old version. We ask for the old TF-app and override the org and repo settings of the old app, by passing the new values in provenanceSpec=....

A = use("missieven:v0.4", checkout="clone", version="0.4", hoist=globals(),
        legacy=True, provenanceSpec=dict(org="clariah", repo="wp6-missieven"))

rate limit is 5000 requests per hour, with 4960 left for this hour
	connecting to online GitHub repo annotation/app-missieven ... connected

This is Text-Fabric 9.4.3
Api reference : https://annotation.github.io/text-fabric/tf/cheatsheet.html

35 features found and 0 ignored

Text-Fabric has support for exporting data together with location information and then importing new data and turning it into new features based on the location information.

See Recorder.

We show the workflow by selecting a letter, exporting the original text material as plain text, manually annotating it for named entities with BRAT and then saving the output as a new feature name.

Text selection¶

We choose volume 1 page 6:

p = A.nodeFromSectionStr("1 6")
for ln in L.d(p, otype="line"):
    A.plain(ln, fmt="text-orig-full")

Quite a bit of names. Let's leave out the notes.

for ln in L.d(p, otype="line"):
    A.plain(ln, fmt="layout-orig")

Recording¶

We'll prepare this portion of text for annotation outside TF.

What needs to happen is, that we produce a text file and that we remember the postions of the relevant nodes in that text file.

The Recorder. lets you create a string from nodes, where the positions of the nodes in that string are remembered. You may add all kinds of material in between the texts of the nodes.

And it is up to you how you represent the nodes.

We can add strings to the recorder, and we can tell nodes to start and to stop.

We add all words in all lines to the recorder, provided the words belong to the original material.

We add line numbers to each line.

# start a recorder
rec = Recorder()

for ln in L.d(p, otype="line"):
    # start a line node
    rec.start(ln)

    # add the line number
    rec.add(f"{F.n.v(ln)}. ")

    for w in L.d(ln, otype="word"):
        trans = F.transo.v(w)
        # if there is nothing in transo, it is not original text
        if not trans:
            continue

        # start a word node
        rec.start(w)

        # add the word and its trailing punctuation
        rec.add(f"{trans}{F.punco.v(w)}")

        # terminate the word node
        rec.end(w)

    # add a newline
    rec.add("\n")

    # terminate the line node
    rec.end(ln)

As a check, let's print the recorded text:

print(rec.text())

1. 
2. 
3. 
4. Op den 12 deser is een jonge slave van een orancaybij nacht comen
5. swemmen aen onse sloep, cloeck van verstant ende prompt in ’t antwoorden,
6. hebben daeromme den 14en deser goet gevonden 14 soldaeten onder ’t commandement
7. van een sergeant met een prau 3 uuren voor daege aen lant te setten aen
8. d’ander sijde om te maeken een bosschaede waertoe medegenomen werde den
9. overloper tot een guide, niettemin hem gebonden houdende die daertoe seer willich
10. was, haer belastende sich niet te openbaeren, dan voor een persoon van qualiteyt
11. gevangen ofte doot te crijgen. Soo is gebeurt, dat daer quamp alleen met een
12. jongen een groot arancay van Nera, broeder van den sabandaer dewelcke sij
13. tref f ten ende ’t hooft ons hier in ’t casteel gebracht, den voorsz. orancaye was door
14. den jongen ende andere seer wel bekent, 14 daegen te voorens in ’t parlementeren
15. met den onsen gesproken, die hem mede geroemt hadde, 2 van onse Hollanders
16. in den moort van den admirael Verhoeven saliger omgebracht te hebben.
17. 
18. 
19. 
20. 
21. Ic hebbe voor mij genomen, soo haest dit casteel gemaeckt is te keeren naer
22. Ambojna ende van daer naer Ternnate ende soo den Coninck van Spagnien tusschen
23. de Heeren Staeten den treves geobserveert werde, metten Coninck van ditto
24. plaetse te contracteeren om met sijn hulpe dese plaetse te ocuperen ende hem daer
25. mede Coninck van te maeken onder protexie van E Mogende Heeren Staeten, doch
26. hiervan sal den tijt leeren ende namaels U E adviseeren 
27. Dit volck van Banda is superbe, moordadich, wel versien van waepenen, van
28. de onsen voor desen ende van de Engelsche gecomen, dan weynich couraege omme
29. metten onsen te slaen, maer de bergen sijn haer fortressen, die voor ons innaccessible
30. sijn, sij leven mede van de vruchten van de boomen ende wortelen van de aerde,
31. daer wijluyden bij vergaen souden, hier regneert onder d’onse een plaege, genaempt
32. berebery waervan sij worden geheel impotent van handen ende beenen, mede
33. een plage van sere benen, alsoo dat ick er van 20 geen een hebbe sonder plaesters
34. aen de beenen.
35. 
36. 
37.

and the recorded node positions.

for i in range(20, 30):
    print(f"pos {i}: {rec.positions()[i]}")

pos 20: frozenset({5054871, 1039})
pos 21: frozenset({5054871, 1039})
pos 22: frozenset({1040, 5054871})
pos 23: frozenset({1040, 5054871})
pos 24: frozenset({1040, 5054871})
pos 25: frozenset({1041, 5054871})
pos 26: frozenset({1041, 5054871})
pos 27: frozenset({1041, 5054871})
pos 28: frozenset({1041, 5054871})
pos 29: frozenset({1041, 5054871})

This means that the character on position 20 in the plain text string is part of the text of node 1039 and of node 5054871.

With one statement we write the recorded text and the postions to two files:

rec.write("exercises/v01-p0006.txt")

!head -n 10 exercises/v01-p0006.txt

1. 
2. 
3. 
4. Op den 12 deser is een jonge slave van een orancaybij nacht comen
5. swemmen aen onse sloep, cloeck van verstant ende prompt in ’t antwoorden,
6. hebben daeromme den 14en deser goet gevonden 14 soldaeten onder ’t commandement
7. van een sergeant met een prau 3 uuren voor daege aen lant te setten aen
8. d’ander sijde om te maeken een bosschaede waertoe medegenomen werde den
9. overloper tot een guide, niettemin hem gebonden houdende die daertoe seer willich
10. was, haer belastende sich niet te openbaeren, dan voor een persoon van qualiteyt

!head -n 30 exercises/v01-p0006.txt.pos

5054868
5054868
5054868
5054868
5054869
5054869
5054869
5054869
5054870
5054870
5054870
5054870
5054871
5054871
5054871
1038	5054871
1038	5054871
1038	5054871
5054871	1039
5054871	1039
5054871	1039
5054871	1039
1040	5054871
1040	5054871
1040	5054871
1041	5054871
1041	5054871
1041	5054871
1041	5054871
1041	5054871

Annotating¶

We head over to a local installation of Brat and annotate our text.

Left you see a quick and dirty manual annotation of some entities that I performed on the Brat interface, served locally.

We captured the output of this annotation session into the file v01-p0006.txt.ann, it has the following contents:

T1  Person 675 679  Nera
T2  GPE 1181 1189   Ternnate
#1  AnnotatorNotes T2   Ternate
T3  Person 1203 1223    Coninck van Spagnien
T4  GPE 1215 1223   Spagnien
T5  Organization 1240 1254  Heeren Staeten
T6  Person 1293 1300    Coninck
T7  Person 1406 1413    Coninck
T8  Organization 1457 1471  Heeren Staeten
T9  GPE 1557 1562   Banda
T10 GPE 1653 1662   Engelsche
T11 Person 58 65    orancay
T12 Person 663 670  arancay
T13 Person 697 706  sabandaer
T14 Person 794 802  orancaye
T15 GPE 965 975 Hollanders
T16 Person 1010 1019    Verhoeven
T17 GPE 1154 1161   Ambojna
#2  AnnotatorNotes T17  Amboina
T18 GPE 1305 1310;1311 1322 ditto 24. plaetse
#3  AnnotatorNotes T18  Ternate
*   Alias T11 T14
R1  Geographical_part Arg1:T2 Arg2:T18

Now we want to feed back these annotations as TF features on word nodes. The Recorder cannot anticipate the formats that tools like Brat deliver their results in. Therefore, it expects the data to be in a straightforward tabular format.

In this case, we must do a small conversion to bring the output annotations into good shape, namely a tab separated file with columns start end feature1 feature2 ...

Here we choose to expose the identifier (the Tn values) as feature1 and the kind of entity as feature2.

In case there is a link between two entities, we want to assign the earliest Tnumber to all entities involved.

We also want to preserve the annotator notes.

def brat2tsv(inh, outh):
    outh.write("start\tend\tentityId\tentityKind\tentityComment\n")
    entities = []
    notes = {}
    maps = {}
    for line in inh:
        fields = line.rstrip("\n").split("\t")
        if line.startswith("T"):
            id1 = fields[0]
            (kind, *positions) = fields[1].split()
            (start, end) = (positions[0], positions[-1])
            entities.append([start, end, id1, kind, ""])
        elif line.startswith("#"):
            id1 = fields[1].split()[1]
            notes[id1] = fields[2]
        elif line.startswith("*"):
            (kind, id1, id2) = fields[1].split()
            maps[id2] = id1
        elif line.startswith("R"):
            (id1, id2) = (f[5:] for f in fields[1].split()[1:])
            maps[id2] = id1
    for entity in entities:
        id1 = entity[2]
        if id1 in maps:
            entity[2] = maps[id1]
        if id1 in notes:
            entity[4] = notes[id1]
        line = "\t".join(entity)
        print(line)
        outh.write(f"{line}\n")

    print(maps)


with open("exercises/v01-p0006.txt.ann") as inh:
    with open("exercises/v01-p0006.txt.tsv", "w") as outh:
        brat2tsv(inh, outh)

675	679	T1	Person	
1181	1189	T2	GPE	Ternate
1203	1223	T3	Person	
1215	1223	T4	GPE	
1240	1254	T5	Organization	
1293	1300	T6	Person	
1406	1413	T7	Person	
1457	1471	T8	Organization	
1557	1562	T9	GPE	
1653	1662	T10	GPE	
58	65	T11	Person	
663	670	T12	Person	
697	706	T13	Person	
794	802	T11	Person	
965	975	T15	GPE	
1010	1019	T16	Person	
1154	1161	T17	GPE	Amboina
1305	1322	T2	GPE	Ternate
{'T14': 'T11', 'T18': 'T2'}

Our recorder knows how to do transform this file in feature data.

features = rec.makeFeatures("exercises/v01-p0006.txt.tsv")

Let's see.

for (feat, data) in features.items():
    print(feat)
    print("\t", data)

entityId
	 {1146: 'T1', 5054879: 'T13', 5054889: 'T17', 1255: 'T2', 1259: 'T3', 1260: 'T3', 1261: 'T4', 1264: 'T5', 1265: 'T5', 5054890: 'T2', 1271: 'T6', 1289: 'T7', 5054892: 'T8', 1298: 'T8', 1299: 'T8', 1314: 'T9', 5054894: 'T9', 1330: 'T10', 5054895: 'T10', 1048: 'T11', 1049: 'T11', 5054871: 'T11', 1144: 'T12', 1150: 'T13', 5054880: 'T11', 1167: 'T11', 5054882: 'T15', 1196: 'T15', 5054883: 'T16', 1203: 'T16', 1250: 'T17', 1273: 'T2', 5054891: 'T2', 1274: 'T2'}
entityKind
	 {1146: 'Person', 5054879: 'Person', 5054889: 'GPE', 1255: 'GPE', 1259: 'Person', 1260: 'Person', 1261: 'GPE', 1264: 'Organization', 1265: 'Organization', 5054890: 'GPE', 1271: 'Person', 1289: 'Person', 5054892: 'Organization', 1298: 'Organization', 1299: 'Organization', 1314: 'GPE', 5054894: 'GPE', 1330: 'GPE', 5054895: 'GPE', 1048: 'Person', 1049: 'Person', 5054871: 'Person', 1144: 'Person', 1150: 'Person', 5054880: 'Person', 1167: 'Person', 5054882: 'GPE', 1196: 'GPE', 5054883: 'Person', 1203: 'Person', 1250: 'GPE', 1273: 'GPE', 5054891: 'GPE', 1274: 'GPE'}
entityComment
	 {5054889: 'Amboina', 1255: 'Ternate', 1250: 'Amboina', 1273: 'Ternate', 5054890: 'Ternate', 5054891: 'Ternate', 1274: 'Ternate'}

We can show this prettier:

for (feat, data) in features.items():
    print(feat)
    for (node, value) in data.items():
        print(f"\t{F.otype.v(node)} {node} => {value}")

entityId
	word 1146 => T1
	line 5054879 => T13
	line 5054889 => T17
	word 1255 => T2
	word 1259 => T3
	word 1260 => T3
	word 1261 => T4
	word 1264 => T5
	word 1265 => T5
	line 5054890 => T2
	word 1271 => T6
	word 1289 => T7
	line 5054892 => T8
	word 1298 => T8
	word 1299 => T8
	word 1314 => T9
	line 5054894 => T9
	word 1330 => T10
	line 5054895 => T10
	word 1048 => T11
	word 1049 => T11
	line 5054871 => T11
	word 1144 => T12
	word 1150 => T13
	line 5054880 => T11
	word 1167 => T11
	line 5054882 => T15
	word 1196 => T15
	line 5054883 => T16
	word 1203 => T16
	word 1250 => T17
	word 1273 => T2
	line 5054891 => T2
	word 1274 => T2
entityKind
	word 1146 => Person
	line 5054879 => Person
	line 5054889 => GPE
	word 1255 => GPE
	word 1259 => Person
	word 1260 => Person
	word 1261 => GPE
	word 1264 => Organization
	word 1265 => Organization
	line 5054890 => GPE
	word 1271 => Person
	word 1289 => Person
	line 5054892 => Organization
	word 1298 => Organization
	word 1299 => Organization
	word 1314 => GPE
	line 5054894 => GPE
	word 1330 => GPE
	line 5054895 => GPE
	word 1048 => Person
	word 1049 => Person
	line 5054871 => Person
	word 1144 => Person
	word 1150 => Person
	line 5054880 => Person
	word 1167 => Person
	line 5054882 => GPE
	word 1196 => GPE
	line 5054883 => Person
	word 1203 => Person
	word 1250 => GPE
	word 1273 => GPE
	line 5054891 => GPE
	word 1274 => GPE
entityComment
	line 5054889 => Amboina
	word 1255 => Ternate
	word 1250 => Amboina
	word 1273 => Ternate
	line 5054890 => Ternate
	line 5054891 => Ternate
	word 1274 => Ternate

Note that we assign entity features to line nodes as well.

If that is undesired, we should not have instructed the Recorder to rec.add(ln) above.

Saving data¶

The documentation explains how to save this data into text-fabric data files.

We choose a location where to save it, the exercises directory next to this notebook.

GITHUB = os.path.expanduser("~/github")
ORG = A.context.org
REPO = A.context.repo
PATH = "exercises"
VERSION = A.version

Note the version: we have built the version against a specific version of the data:

A.version

'0.4'

Later on, we pass this version on, so that users of our data will get the shared data in exactly the same version as their core data.

We have to specify a bit of metadata for this feature:

metaData = {
    "entityId": dict(
        valueType="str",
        description="identifier of a named entity",
        creator="Dirk Roorda",
    ),
    "entityKind": dict(
        valueType="str",
        description="kind of a named entity",
        creator="Dirk Roorda",
    ),
    "entityComment": dict(
        valueType="str",
        description="comment to a named entity",
        creator="Dirk Roorda",
    ),
}

Now we can give the save command:

location = f"{GITHUB}/{ORG}/{REPO}/{PATH}/entities/tf"
TF.save(nodeFeatures=features, metaData=metaData, location=location, module=VERSION)

  0.00s Exporting 3 node and 0 edge and 0 config features to ~/github/clariah/wp6-missieven/exercises/entities/tf/0.4:
   |     0.00s T entityComment        to ~/github/clariah/wp6-missieven/exercises/entities/tf/0.4
   |     0.00s T entityId             to ~/github/clariah/wp6-missieven/exercises/entities/tf/0.4
   |     0.00s T entityKind           to ~/github/clariah/wp6-missieven/exercises/entities/tf/0.4
  0.00s Exported 3 node features and 0 edge features and 0 config features to ~/github/clariah/wp6-missieven/exercises/entities/tf/0.4

True

Migrating¶

We now migrate these annotations to the current version (1.0), which is different from 0.4 in that the footnote texts have been drawn into the main text. We use the mapping from 0.4 nodes to 1.0 nodes, which is available as an edge feature omap#0.4-1.0 in the current version of the dataset.

We load both the old and new versions of the dataset.

entityModule = "clariah/wp6-missieven/exercises/entities/tf"
va = "0.4"

A = {}

A[va] = use(f"missieven:v{va}", mod=f"{entityModule}:clone", checkout="clone", version=va,
           legacy=True, provenanceSpec=dict(org="clariah", repo="wp6-missieven"))

rate limit is 5000 requests per hour, with 4957 left for this hour
	connecting to online GitHub repo annotation/app-missieven ... connected

This is Text-Fabric 9.4.3
Api reference : https://annotation.github.io/text-fabric/tf/cheatsheet.html

38 features found and 0 ignored
   |     0.00s T entityComment        from ~/github/clariah/wp6-missieven/exercises/entities/tf/0.4
   |     0.00s T entityId             from ~/github/clariah/wp6-missieven/exercises/entities/tf/0.4
   |     0.00s T entityKind           from ~/github/clariah/wp6-missieven/exercises/entities/tf/0.4

Alater = use("clariah/wp6-missieven:clone", checkout="clone")
vb = Alater.version
A[vb] = Alater

This is Text-Fabric 9.4.3
Api reference : https://annotation.github.io/text-fabric/tf/cheatsheet.html

44 features found and 0 ignored

Now we can use the function migrateFeatures from TF to migrate our features. See also nodeMaps.

V = Versions({va: A[va].api, vb: A[vb].api}, va, vb)

features = ("entityComment", "entityId", "entityKind")

V.migrateFeatures(features, location=location)

  0.00s Exporting 3 node and 0 edge and 0 config features to ~/github/clariah/wp6-missieven/exercises/entities/tf/1.0:
   |     0.00s T entityComment        to ~/github/clariah/wp6-missieven/exercises/entities/tf/1.0
   |     0.00s T entityId             to ~/github/clariah/wp6-missieven/exercises/entities/tf/1.0
   |     0.00s T entityKind           to ~/github/clariah/wp6-missieven/exercises/entities/tf/1.0
  0.00s Exported 3 node features and 0 edge features and 0 config features to ~/github/clariah/wp6-missieven/exercises/entities/tf/1.0

We load the migrated features:

A[vb] = use("clariah/wp6-missieven:clone", version=vb, mod=f"{entityModule}:clone", checkout="clone")

This is Text-Fabric 9.4.3
Api reference : https://annotation.github.io/text-fabric/tf/cheatsheet.html

47 features found and 0 ignored
   |     0.00s T entityComment        from ~/github/clariah/wp6-missieven/exercises/entities/tf/1.0
   |     0.00s T entityId             from ~/github/clariah/wp6-missieven/exercises/entities/tf/1.0
   |     0.00s T entityKind           from ~/github/clariah/wp6-missieven/exercises/entities/tf/1.0

We compare the features in both versions

def showFeature(v, f):
    F = A[v].api.F
    Fs = A[v].api.Fs
    T = A[v].api.T

    for (n, val) in Fs(f).items():
        ntp = F.otype.v(n)
        print(f"{v} {f} ({ntp:<4} {n:>8}) {val:<8} <= {T.text(n)}")

for f in features:
    showFeature(va, f)
    print("")
    showFeature(vb, f)
    print("")

0.4 entityComment (word     1250) Amboina  <= Ambojna 
0.4 entityComment (word     1255) Ternate  <= Ternnate 
0.4 entityComment (word     1273) Ternate  <= ditto
0.4 entityComment (word     1274) Ternate  <= plaetse 
0.4 entityComment (line  5054889) Amboina  <= Ambojna ende van daer naer Ternnate ende soo den Coninck van Spagnien tusschen
0.4 entityComment (line  5054890) Ternate  <= de Heeren Staeten den treves geobserveert werde, metten Coninck van ditto
0.4 entityComment (line  5054891) Ternate  <= plaetse te contracteeren om met sijn hulpe dese plaetse te ocuperen ende hem daer

1.0 entityComment (word     1545) Amboina  <= Ambojna 
1.0 entityComment (word     1550) Ternate  <= Ternnate 
1.0 entityComment (word     1568) Ternate  <= ditto 
1.0 entityComment (word     1569) Ternate  <= plaetse 
1.0 entityComment (line  6018921) Amboina  <= Ambojna ende van daer naer Ternnate ende soo den Coninck van Spagnien tusschen 
1.0 entityComment (line  6018922) Ternate  <= de Heeren Staeten den treves geobserveert werde, metten Coninck van ditto 
1.0 entityComment (line  6018923) Ternate  <= plaetse te contracteeren om met sijn hulpe dese plaetse te ocuperen ende hem daer 

0.4 entityId (word     1048) T11      <= orancay
0.4 entityId (word     1049) T11      <= bij 
0.4 entityId (word     1144) T12      <= arancay 
0.4 entityId (word     1146) T1       <= Nera, 
0.4 entityId (word     1150) T13      <= sabandaer 
0.4 entityId (word     1167) T11      <= orancaye 
0.4 entityId (word     1196) T15      <= Hollanders
0.4 entityId (word     1203) T16      <= Verhoeven 
0.4 entityId (word     1250) T17      <= Ambojna 
0.4 entityId (word     1255) T2       <= Ternnate 
0.4 entityId (word     1259) T3       <= Coninck 
0.4 entityId (word     1260) T3       <= van 
0.4 entityId (word     1261) T4       <= Spagnien 
0.4 entityId (word     1264) T5       <= Heeren 
0.4 entityId (word     1265) T5       <= Staeten 
0.4 entityId (word     1271) T6       <= Coninck 
0.4 entityId (word     1273) T2       <= ditto
0.4 entityId (word     1274) T2       <= plaetse 
0.4 entityId (word     1289) T7       <= Coninck 
0.4 entityId (word     1298) T8       <= Heeren 
0.4 entityId (word     1299) T8       <= Staeten, 
0.4 entityId (word     1314) T9       <= Banda 
0.4 entityId (word     1330) T10      <= Engelsche 
0.4 entityId (line  5054871) T11      <= Op den 12 deser is een jonge slave van een orancaybij nacht comen
0.4 entityId (line  5054879) T13      <= jongen een groot arancay van Nera, broeder van den sabandaer dewelcke sij
0.4 entityId (line  5054880) T11      <= tref f ten ende ’t hooft ons hier in ’t casteel gebracht, den voorsz. orancaye was door
0.4 entityId (line  5054882) T15      <= met den onsen gesproken, die hem mede geroemt hadde, 2 van onse Hollanders
0.4 entityId (line  5054883) T16      <= in den moort van den admirael Verhoeven saliger omgebracht te hebben.
0.4 entityId (line  5054889) T17      <= Ambojna ende van daer naer Ternnate ende soo den Coninck van Spagnien tusschen
0.4 entityId (line  5054890) T2       <= de Heeren Staeten den treves geobserveert werde, metten Coninck van ditto
0.4 entityId (line  5054891) T2       <= plaetse te contracteeren om met sijn hulpe dese plaetse te ocuperen ende hem daer
0.4 entityId (line  5054892) T8       <= mede Coninck van te maeken onder protexie van E Mogende Heeren Staeten, doch
0.4 entityId (line  5054894) T9       <= Dit volck van Banda is superbe, moordadich, wel versien van waepenen, van
0.4 entityId (line  5054895) T10      <= de onsen voor desen ende van de Engelsche gecomen, dan weynich couraege omme

1.0 entityId (word     1242) T11      <= orancay 
1.0 entityId (word     1252) T11      <= bij 
1.0 entityId (word     1351) T12      <= arancay 
1.0 entityId (word     1353) T1       <= Nera, 
1.0 entityId (word     1357) T13      <= sabandaer 
1.0 entityId (word     1398) T11      <= orancaye 
1.0 entityId (word     1427) T15      <= Hollanders 
1.0 entityId (word     1434) T16      <= Verhoeven 
1.0 entityId (word     1545) T17      <= Ambojna 
1.0 entityId (word     1550) T2       <= Ternnate 
1.0 entityId (word     1554) T3       <= Coninck 
1.0 entityId (word     1555) T3       <= van 
1.0 entityId (word     1556) T4       <= Spagnien 
1.0 entityId (word     1559) T5       <= Heeren 
1.0 entityId (word     1560) T5       <= Staeten 
1.0 entityId (word     1566) T6       <= Coninck 
1.0 entityId (word     1568) T2       <= ditto 
1.0 entityId (word     1569) T2       <= plaetse 
1.0 entityId (word     1584) T7       <= Coninck 
1.0 entityId (word     1593) T8       <= Heeren 
1.0 entityId (word     1594) T8       <= Staeten, 
1.0 entityId (word     1653) T9       <= Banda 
1.0 entityId (word     1669) T10      <= Engelsche 
1.0 entityId (line  6018894) T11      <= Op den 12 deser is een jonge slave van een orancay Orangkaja, hier aanduiding voor een Bandanees hoofd of aanzienlijke. 
1.0 entityId (line  6018895) T11      <= bij nacht comen 
1.0 entityId (line  6018904) T13      <= jongen een groot arancay van Nera, broeder van den sabandaer Sjahbandar, uit het Perzisch overgenomen woord, in Zuidoost-Azië gebruikt voor 
1.0 entityId (line  6018906) T13      <= dewelcke sij 
1.0 entityId (line  6018907) T11      <= tref f ten ende ’t hooft ons hier in ’t casteel gebracht, den voorsz. orancaye was door 
1.0 entityId (line  6018909) T15      <= met den onsen gesproken, die hem mede geroemt hadde, 2 van onse Hollanders 
1.0 entityId (line  6018910) T16      <= in den moort van den admirael Verhoeven Admiraal Pieter Willemsz. Verhoeff kwam 23 november 1608 met zijn vloot voor 
1.0 entityId (line  6018915) T16      <= saliger omgebracht te hebben. 
1.0 entityId (line  6018921) T17      <= Ambojna ende van daer naer Ternnate ende soo den Coninck van Spagnien tusschen 
1.0 entityId (line  6018922) T2       <= de Heeren Staeten den treves geobserveert werde, metten Coninck van ditto 
1.0 entityId (line  6018923) T2       <= plaetse te contracteeren om met sijn hulpe dese plaetse te ocuperen ende hem daer 
1.0 entityId (line  6018924) T8       <= mede Coninck van te maeken onder protexie van E Mogende Heeren Staeten, doch 
1.0 entityId (line  6018928) T9       <= 
1.0 entityId (line  6018929) T9       <= Dit volck van Banda is superbe, moordadich, wel versien van waepenen, van 
1.0 entityId (line  6018930) T10      <= de onsen voor desen ende van de Engelsche gecomen, dan weynich couraege omme 

0.4 entityKind (word     1048) Person   <= orancay
0.4 entityKind (word     1049) Person   <= bij 
0.4 entityKind (word     1144) Person   <= arancay 
0.4 entityKind (word     1146) Person   <= Nera, 
0.4 entityKind (word     1150) Person   <= sabandaer 
0.4 entityKind (word     1167) Person   <= orancaye 
0.4 entityKind (word     1196) GPE      <= Hollanders
0.4 entityKind (word     1203) Person   <= Verhoeven 
0.4 entityKind (word     1250) GPE      <= Ambojna 
0.4 entityKind (word     1255) GPE      <= Ternnate 
0.4 entityKind (word     1259) Person   <= Coninck 
0.4 entityKind (word     1260) Person   <= van 
0.4 entityKind (word     1261) GPE      <= Spagnien 
0.4 entityKind (word     1264) Organization <= Heeren 
0.4 entityKind (word     1265) Organization <= Staeten 
0.4 entityKind (word     1271) Person   <= Coninck 
0.4 entityKind (word     1273) GPE      <= ditto
0.4 entityKind (word     1274) GPE      <= plaetse 
0.4 entityKind (word     1289) Person   <= Coninck 
0.4 entityKind (word     1298) Organization <= Heeren 
0.4 entityKind (word     1299) Organization <= Staeten, 
0.4 entityKind (word     1314) GPE      <= Banda 
0.4 entityKind (word     1330) GPE      <= Engelsche 
0.4 entityKind (line  5054871) Person   <= Op den 12 deser is een jonge slave van een orancaybij nacht comen
0.4 entityKind (line  5054879) Person   <= jongen een groot arancay van Nera, broeder van den sabandaer dewelcke sij
0.4 entityKind (line  5054880) Person   <= tref f ten ende ’t hooft ons hier in ’t casteel gebracht, den voorsz. orancaye was door
0.4 entityKind (line  5054882) GPE      <= met den onsen gesproken, die hem mede geroemt hadde, 2 van onse Hollanders
0.4 entityKind (line  5054883) Person   <= in den moort van den admirael Verhoeven saliger omgebracht te hebben.
0.4 entityKind (line  5054889) GPE      <= Ambojna ende van daer naer Ternnate ende soo den Coninck van Spagnien tusschen
0.4 entityKind (line  5054890) GPE      <= de Heeren Staeten den treves geobserveert werde, metten Coninck van ditto
0.4 entityKind (line  5054891) GPE      <= plaetse te contracteeren om met sijn hulpe dese plaetse te ocuperen ende hem daer
0.4 entityKind (line  5054892) Organization <= mede Coninck van te maeken onder protexie van E Mogende Heeren Staeten, doch
0.4 entityKind (line  5054894) GPE      <= Dit volck van Banda is superbe, moordadich, wel versien van waepenen, van
0.4 entityKind (line  5054895) GPE      <= de onsen voor desen ende van de Engelsche gecomen, dan weynich couraege omme

1.0 entityKind (word     1242) Person   <= orancay 
1.0 entityKind (word     1252) Person   <= bij 
1.0 entityKind (word     1351) Person   <= arancay 
1.0 entityKind (word     1353) Person   <= Nera, 
1.0 entityKind (word     1357) Person   <= sabandaer 
1.0 entityKind (word     1398) Person   <= orancaye 
1.0 entityKind (word     1427) GPE      <= Hollanders 
1.0 entityKind (word     1434) Person   <= Verhoeven 
1.0 entityKind (word     1545) GPE      <= Ambojna 
1.0 entityKind (word     1550) GPE      <= Ternnate 
1.0 entityKind (word     1554) Person   <= Coninck 
1.0 entityKind (word     1555) Person   <= van 
1.0 entityKind (word     1556) GPE      <= Spagnien 
1.0 entityKind (word     1559) Organization <= Heeren 
1.0 entityKind (word     1560) Organization <= Staeten 
1.0 entityKind (word     1566) Person   <= Coninck 
1.0 entityKind (word     1568) GPE      <= ditto 
1.0 entityKind (word     1569) GPE      <= plaetse 
1.0 entityKind (word     1584) Person   <= Coninck 
1.0 entityKind (word     1593) Organization <= Heeren 
1.0 entityKind (word     1594) Organization <= Staeten, 
1.0 entityKind (word     1653) GPE      <= Banda 
1.0 entityKind (word     1669) GPE      <= Engelsche 
1.0 entityKind (line  6018894) Person   <= Op den 12 deser is een jonge slave van een orancay Orangkaja, hier aanduiding voor een Bandanees hoofd of aanzienlijke. 
1.0 entityKind (line  6018895) Person   <= bij nacht comen 
1.0 entityKind (line  6018904) Person   <= jongen een groot arancay van Nera, broeder van den sabandaer Sjahbandar, uit het Perzisch overgenomen woord, in Zuidoost-Azië gebruikt voor 
1.0 entityKind (line  6018906) Person   <= dewelcke sij 
1.0 entityKind (line  6018907) Person   <= tref f ten ende ’t hooft ons hier in ’t casteel gebracht, den voorsz. orancaye was door 
1.0 entityKind (line  6018909) GPE      <= met den onsen gesproken, die hem mede geroemt hadde, 2 van onse Hollanders 
1.0 entityKind (line  6018910) Person   <= in den moort van den admirael Verhoeven Admiraal Pieter Willemsz. Verhoeff kwam 23 november 1608 met zijn vloot voor 
1.0 entityKind (line  6018915) Person   <= saliger omgebracht te hebben. 
1.0 entityKind (line  6018921) GPE      <= Ambojna ende van daer naer Ternnate ende soo den Coninck van Spagnien tusschen 
1.0 entityKind (line  6018922) GPE      <= de Heeren Staeten den treves geobserveert werde, metten Coninck van ditto 
1.0 entityKind (line  6018923) GPE      <= plaetse te contracteeren om met sijn hulpe dese plaetse te ocuperen ende hem daer 
1.0 entityKind (line  6018924) Organization <= mede Coninck van te maeken onder protexie van E Mogende Heeren Staeten, doch 
1.0 entityKind (line  6018928) GPE      <= 
1.0 entityKind (line  6018929) GPE      <= Dit volck van Banda is superbe, moordadich, wel versien van waepenen, van 
1.0 entityKind (line  6018930) GPE      <= de onsen voor desen ende van de Engelsche gecomen, dan weynich couraege omme

In share we show how we can share and reuse these features.

Contents¶

start start computing with this corpus
search turbo charge your hand-coding with search templates
compute sink down a level and compute it yourself
exportExcel make tailor-made spreadsheets out of your results
annotate export text, annotate with BRAT, import annotations
share draw in other people's data and let them use yours
entities use results of third-party NER (named entity recognition)
volumes work with selected volumes only

CC-BY Dirk Roorda