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1.5 million words of
Mary Dorothy George
A computational approach to curatorial voice
and legacy descriptions of art objec...
@j_w_baker
Mary Dorothy George
(1878-1971)
Image: © National Portrait Gallery, London
curatorialvoice.github.io
1935-1954
@j_w_baker
Image: Creative
Commons BY-NC-SA
4.0, © Trustees of the
British Museum
curatorialvoice.github.io
@j_w_baker
britishmuseum.org/research/collection_online/search.aspx
Image: © Trustees of the British Museum
@j_w_baker
public.researchspace.org/sparql
Image: © Trustees of the British Museum
curatorialvoice.github.io
@j_w_baker
doi.org/10.5281/zenodo.3245037
doi.org/10.5281/zenodo.3245017
1.1 million
words
9330
descriptions
Rather exclud...
@j_w_baker
the (67,434), a (64,436), of (32,450), and (32,020), is (24,050), in (22,078), his
(20,520), with (18,164), on ...
@j_w_baker
the (67,434), a (64,436), of (32,450), and (32,020), is (24,050), in (22,078), his
(20,520), with (18,164), on ...
@j_w_baker
the (67,434), a (64,436), of (32,450), and (32,020), is (24,050), in (22,078), his
(20,520), with (18,164), on ...
@j_w_baker
the (67,434), a (64,436), of (32,450), and (32,020), is (24,050), in (22,078), his
(20,520), with (18,164), on ...
@j_w_baker
the (67,434), a (64,436), of (32,450), and (32,020), is (24,050), in (22,078), his
(20,520), with (18,164), on ...
@j_w_baker
the (67,434), a (64,436), of (32,450), and (32,020), is (24,050), in (22,078), his
(20,520), with (18,164), on ...
@j_w_baker
was, that, I, be, for, to, you, had, it, were, not, would, have,
we, said, can, will, there, been, when, they, ...
@j_w_baker
was, that, I, be, for, to, you, had, it, were, not, would, have,
we, said, can, will, there, been, when, they, ...
@j_w_baker
was, that, I, be, for, to, you, had, it, were, not, would, have,
we, said, can, will, there, been, when, they, ...
@j_w_baker
was, that, I, be, for, to, you, had, it, were, not, would, have,
we, said, can, will, there, been, when, they, ...
@j_w_baker
was, that, I, be, for, to, you, had, it, were, not, would, have,
we, said, can, will, there, been, when, they, ...
@j_w_baker
was, that, I, be, for, to, you, had, it, were, not, would,
have, we, said, can, will, there, been, when, they, ...
@j_w_baker
Figure 3: Frequencies of some common verbs in the George corpus and their
troponyms (combining all forms of eac...
@j_w_baker
Mary Dorothy George
(1878-1971)
Image: © National Portrait Gallery, London
curatorialvoice.github.io
1935-1954
@j_w_baker
Image:
Creative
Commons
BY-NC-SA
4.0, ©
Trustees of
the British
Museum
@j_w_baker
The Hereditary Prince of Würtemberg, enormously corpulent,
advances in profile to the l. towards the Princess R...
@j_w_baker
The Hereditary Prince of Würtemberg, enormously corpulent,
advances in profile to the l. towards the Princess R...
@j_w_baker
The Hereditary Prince of Würtemberg, enormously corpulent,
advances in profile to the l. towards the Princess R...
@j_w_baker
The Hereditary Prince of Würtemberg, enormously corpulent,
advances in profile to the l. towards the Princess R...
@j_w_baker
The Hereditary Prince of Würtemberg, enormously corpulent,
advances in profile to the l. towards the Princess R...
@j_w_baker
The Hereditary Prince of
Würtemberg,
enormously corpulent,
advances in profile to
the l. towards the
Princess R...
@j_w_baker
“I suppose he has some
German Method a rare
Ram this to mend the
Breed”
M. Dorothy George, Catalogue Vol 7 (194...
@j_w_baker
Image:
Creative
Commons
BY-NC-SA
4.0, ©
Trustees of
the British
Museum
1.5 million words of
Mary Dorothy George
A computational approach to curatorial voice
and legacy descriptions of art objec...
@j_w_baker
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████████████,☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐
☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐...
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1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 1 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 2 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 3 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 4 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 5 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 6 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 7 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 8 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 9 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 10 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 11 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 12 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 13 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 14 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 15 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 16 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 17 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 18 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 19 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 20 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 21 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 22 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 23 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 24 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 25 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 26 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 27 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 28 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 29 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 30 1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects Slide 31
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Talk given at DH Benelux, Liege, 12 September 2019

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1.5 million words of Mary Dorothy George: a computational approach to curatorial voice and legacy descriptions of art objects

  1. 1. 1.5 million words of Mary Dorothy George A computational approach to curatorial voice and legacy descriptions of art objects James Baker Andrew Salway Senior Lecturer in Digital History and Archives Research Fellow in DH University of Sussex + Sussex Humanities Lab This work is licensed under a Creative Commons Attribution 4.0 International License. Exceptions: quotations, embeds from external sources, logos, marked images, slides marked with an alternative licence. curatorialvoice.github.io
  2. 2. @j_w_baker Mary Dorothy George (1878-1971) Image: © National Portrait Gallery, London curatorialvoice.github.io 1935-1954
  3. 3. @j_w_baker Image: Creative Commons BY-NC-SA 4.0, © Trustees of the British Museum curatorialvoice.github.io
  4. 4. @j_w_baker britishmuseum.org/research/collection_online/search.aspx Image: © Trustees of the British Museum
  5. 5. @j_w_baker public.researchspace.org/sparql Image: © Trustees of the British Museum curatorialvoice.github.io
  6. 6. @j_w_baker doi.org/10.5281/zenodo.3245037 doi.org/10.5281/zenodo.3245017 1.1 million words 9330 descriptions Rather exclude than get false positive data
  7. 7. @j_w_baker the (67,434), a (64,436), of (32,450), and (32,020), is (24,050), in (22,078), his (20,520), with (18,164), on (17,568), to (15,775), The (11,659), are (11,161), A (8881), by (7721), inscribed (7458), from (7268), which (6971), left (6596), right (6516), an (6428), at (6366), He (5571), stands (5377), her (4973), says (4816), who (4815), On (4699), he (4683), man (4500), two (4466), him (4310), hand (4272), head (4223), holding (3885), one (3841), holds (3773), as (3545), In (3317), behind (3083), large (3079), No (3000), other (2960), profile (2949), wearing (2880), hat (2862), saying (2832), up (2820), wears (2809), Behind (2792), has (2641), back (2573), sits (2328), it (2270), for (2177), out (2156), over (2154), table (2099), woman (1937), three (1892), towards (1873), or (1844), their (1815), design (1754), small (1711), that (1661), paper (1656), arm (1655), but (1635), Fox (1631), hands (1631), each (1629), title (1625), BMSat (1592), round (1589), men (1565), dressed (1559), them (1558), background (1542), extreme (1526), long (1514), His (1495), its (1433), looks (1431), ground (1398), stand (1362), Lord (1352), under (1340), Two (1337), See (1315), wall (1311), John (1306), &c (1296), have (1276), arms (1262), seated (1258), above (1255), She (1244), beside (1244), I (1234), Below (1221) Figure 1: The 100 most frequent words in the George corpus, with frequencies in brackets. The data published by ResearchSpace under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.
  8. 8. @j_w_baker the (67,434), a (64,436), of (32,450), and (32,020), is (24,050), in (22,078), his (20,520), with (18,164), on (17,568), to (15,775), The (11,659), are (11,161), A (8881), by (7721), inscribed (7458), from (7268), which (6971), left (6596), right (6516), an (6428), at (6366), He (5571), stands (5377), her (4973), says (4816), who (4815), On (4699), he (4683), man (4500), two (4466), him (4310), hand (4272), head (4223), holding (3885), one (3841), holds (3773), as (3545), In (3317), behind (3083), large (3079), No (3000), other (2960), profile (2949), wearing (2880), hat (2862), saying (2832), up (2820), wears (2809), Behind (2792), has (2641), back (2573), sits (2328), it (2270), for (2177), out (2156), over (2154), table (2099), woman (1937), three (1892), towards (1873), or (1844), their (1815), design (1754), small (1711), that (1661), paper (1656), arm (1655), but (1635), Fox (1631), hands (1631), each (1629), title (1625), BMSat (1592), round (1589), men (1565), dressed (1559), them (1558), background (1542), extreme (1526), long (1514), His (1495), its (1433), looks (1431), ground (1398), stand (1362), Lord (1352), under (1340), Two (1337), See (1315), wall (1311), John (1306), &c (1296), have (1276), arms (1262), seated (1258), above (1255), She (1244), beside (1244), I (1234), Below (1221) Figure 1: The 100 most frequent words in the George corpus, with frequencies in brackets. The data published by ResearchSpace under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.
  9. 9. @j_w_baker the (67,434), a (64,436), of (32,450), and (32,020), is (24,050), in (22,078), his (20,520), with (18,164), on (17,568), to (15,775), The (11,659), are (11,161), A (8881), by (7721), inscribed (7458), from (7268), which (6971), left (6596), right (6516), an (6428), at (6366), He (5571), stands (5377), her (4973), says (4816), who (4815), On (4699), he (4683), man (4500), two (4466), him (4310), hand (4272), head (4223), holding (3885), one (3841), holds (3773), as (3545), In (3317), behind (3083), large (3079), No (3000), other (2960), profile (2949), wearing (2880), hat (2862), saying (2832), up (2820), wears (2809), Behind (2792), has (2641), back (2573), sits (2328), it (2270), for (2177), out (2156), over (2154), table (2099), woman (1937), three (1892), towards (1873), or (1844), their (1815), design (1754), small (1711), that (1661), paper (1656), arm (1655), but (1635), Fox (1631), hands (1631), each (1629), title (1625), BMSat (1592), round (1589), men (1565), dressed (1559), them (1558), background (1542), extreme (1526), long (1514), His (1495), its (1433), looks (1431), ground (1398), stand (1362), Lord (1352), under (1340), Two (1337), See (1315), wall (1311), John (1306), &c (1296), have (1276), arms (1262), seated (1258), above (1255), She (1244), beside (1244), I (1234), Below (1221) Figure 1: The 100 most frequent words in the George corpus, with frequencies in brackets. The data published by ResearchSpace under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.
  10. 10. @j_w_baker the (67,434), a (64,436), of (32,450), and (32,020), is (24,050), in (22,078), his (20,520), with (18,164), on (17,568), to (15,775), The (11,659), are (11,161), A (8881), by (7721), inscribed (7458), from (7268), which (6971), left (6596), right (6516), an (6428), at (6366), He (5571), stands (5377), her (4973), says (4816), who (4815), On (4699), he (4683), man (4500), two (4466), him (4310), hand (4272), head (4223), holding (3885), one (3841), holds (3773), as (3545), In (3317), behind (3083), large (3079), No (3000), other (2960), profile (2949), wearing (2880), hat (2862), saying (2832), up (2820), wears (2809), Behind (2792), has (2641), back (2573), sits (2328), it (2270), for (2177), out (2156), over (2154), table (2099), woman (1937), three (1892), towards (1873), or (1844), their (1815), design (1754), small (1711), that (1661), paper (1656), arm (1655), but (1635), Fox (1631), hands (1631), each (1629), title (1625), BMSat (1592), round (1589), men (1565), dressed (1559), them (1558), background (1542), extreme (1526), long (1514), His (1495), its (1433), looks (1431), ground (1398), stand (1362), Lord (1352), under (1340), Two (1337), See (1315), wall (1311), John (1306), &c (1296), have (1276), arms (1262), seated (1258), above (1255), She (1244), beside (1244), I (1234), Below (1221) Figure 1: The 100 most frequent words in the George corpus, with frequencies in brackets. The data published by ResearchSpace under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.
  11. 11. @j_w_baker the (67,434), a (64,436), of (32,450), and (32,020), is (24,050), in (22,078), his (20,520), with (18,164), on (17,568), to (15,775), The (11,659), are (11,161), A (8881), by (7721), inscribed (7458), from (7268), which (6971), left (6596), right (6516), an (6428), at (6366), He (5571), stands (5377), her (4973), says (4816), who (4815), On (4699), he (4683), man (4500), two (4466), him (4310), hand (4272), head (4223), holding (3885), one (3841), holds (3773), as (3545), In (3317), behind (3083), large (3079), No (3000), other (2960), profile (2949), wearing (2880), hat (2862), saying (2832), up (2820), wears (2809), Behind (2792), has (2641), back (2573), sits (2328), it (2270), for (2177), out (2156), over (2154), table (2099), woman (1937), three (1892), towards (1873), or (1844), their (1815), design (1754), small (1711), that (1661), paper (1656), arm (1655), but (1635), Fox (1631), hands (1631), each (1629), title (1625), BMSat (1592), round (1589), men (1565), dressed (1559), them (1558), background (1542), extreme (1526), long (1514), His (1495), its (1433), looks (1431), ground (1398), stand (1362), Lord (1352), under (1340), Two (1337), See (1315), wall (1311), John (1306), &c (1296), have (1276), arms (1262), seated (1258), above (1255), She (1244), beside (1244), I (1234), Below (1221) Figure 1: The 100 most frequent words in the George corpus, with frequencies in brackets. The data published by ResearchSpace under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.
  12. 12. @j_w_baker the (67,434), a (64,436), of (32,450), and (32,020), is (24,050), in (22,078), his (20,520), with (18,164), on (17,568), to (15,775), The (11,659), are (11,161), A (8881), by (7721), inscribed (7458), from (7268), which (6971), left (6596), right (6516), an (6428), at (6366), He (5571), stands (5377), her (4973), says (4816), who (4815), On (4699), he (4683), man (4500), two (4466), him (4310), hand (4272), head (4223), holding (3885), one (3841), holds (3773), as (3545), In (3317), behind (3083), large (3079), No (3000), other (2960), profile (2949), wearing (2880), hat (2862), saying (2832), up (2820), wears (2809), Behind (2792), has (2641), back (2573), sits (2328), it (2270), for (2177), out (2156), over (2154), table (2099), woman (1937), three (1892), towards (1873), or (1844), their (1815), design (1754), small (1711), that (1661), paper (1656), arm (1655), but (1635), Fox (1631), hands (1631), each (1629), title (1625), BMSat (1592), round (1589), men (1565), dressed (1559), them (1558), background (1542), extreme (1526), long (1514), His (1495), its (1433), looks (1431), ground (1398), stand (1362), Lord (1352), under (1340), Two (1337), See (1315), wall (1311), John (1306), &c (1296), have (1276), arms (1262), seated (1258), above (1255), She (1244), beside (1244), I (1234), Below (1221) Figure 1: The 100 most frequent words in the George corpus, with frequencies in brackets. The data published by ResearchSpace under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.
  13. 13. @j_w_baker was, that, I, be, for, to, you, had, it, were, not, would, have, we, said, can, will, there, been, when, they, this, could, what, time, It, do, so, But, know, then, more, any, as, no, all, because, people, er, should, now, years, it's, got, work, about, if, such, get, did, or, don't, think, she, way, but, may, your, than, new, me, even, If, well, year, go, We, And, You, some, only, our, how, need, per, might, made, going, used, I'm, use, good, want, just, really, thought, It's, local, What, must, government, something, went, course, after, too, system, like, came, So Figure 2: a set of negative keywords extracted from the George corpus, i.e. words occurring unusually infrequently compared with the British National Corpus. The data published by ResearchSpace under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. curatorialvoice.github.io
  14. 14. @j_w_baker was, that, I, be, for, to, you, had, it, were, not, would, have, we, said, can, will, there, been, when, they, this, could, what, time, It, do, so, But, know, then, more, any, as, no, all, because, people, er, should, now, years, it's, got, work, about, if, such, get, did, or, don't, think, she, way, but, may, your, than, new, me, even, If, well, year, go, We, And, You, some, only, our, how, need, per, might, made, going, used, I'm, use, good, want, just, really, thought, It's, local, What, must, government, something, went, course, after, too, system, like, came, So Figure 2: a set of negative keywords extracted from the George corpus, i.e. words occurring unusually infrequently compared with the British National Corpus. The data published by ResearchSpace under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. curatorialvoice.github.io
  15. 15. @j_w_baker was, that, I, be, for, to, you, had, it, were, not, would, have, we, said, can, will, there, been, when, they, this, could, what, time, It, do, so, But, know, then, more, any, as, no, all, because, people, er, should, now, years, it's, got, work, about, if, such, get, did, or, don't, think, she, way, but, may, your, than, new, me, even, If, well, year, go, We, And, You, some, only, our, how, need, per, might, made, going, used, I'm, use, good, want, just, really, thought, It's, local, What, must, government, something, went, course, after, too, system, like, came, So Figure 2: a set of negative keywords extracted from the George corpus, i.e. words occurring unusually infrequently compared with the British National Corpus. The data published by ResearchSpace under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. curatorialvoice.github.io
  16. 16. @j_w_baker was, that, I, be, for, to, you, had, it, were, not, would, have, we, said, can, will, there, been, when, they, this, could, what, time, It, do, so, But, know, then, more, any, as, no, all, because, people, er, should, now, years, it's, got, work, about, if, such, get, did, or, don't, think, she, way, but, may, your, than, new, me, even, If, well, year, go, We, And, You, some, only, our, how, need, per, might, made, going, used, I'm, use, good, want, just, really, thought, It's, local, What, must, government, something, went, course, after, too, system, like, came, So Figure 2: a set of negative keywords extracted from the George corpus, i.e. words occurring unusually infrequently compared with the British National Corpus. The data published by ResearchSpace under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. curatorialvoice.github.io
  17. 17. @j_w_baker was, that, I, be, for, to, you, had, it, were, not, would, have, we, said, can, will, there, been, when, they, this, could, what, time, It, do, so, But, know, then, more, any, as, no, all, because, people, er, should, now, years, it's, got, work, about, if, such, get, did, or, don't, think, she, way, but, may, your, than, new, me, even, If, well, year, go, We, And, You, some, only, our, how, need, per, might, made, going, used, I'm, use, good, want, just, really, thought, It's, local, What, must, government, something, went, course, after, too, system, like, came, So Figure 2: a set of negative keywords extracted from the George corpus, i.e. words occurring unusually infrequently compared with the British National Corpus. The data published by ResearchSpace under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. curatorialvoice.github.io
  18. 18. @j_w_baker was, that, I, be, for, to, you, had, it, were, not, would, have, we, said, can, will, there, been, when, they, this, could, what, time, It, do, so, But, know, then, more, any, as, no, all, because, people, er, should, now, years, it's, got, work, about, if, such, get, did, or, don't, think, she, way, but, may, your, than, new, me, even, If, well, year, go, We, And, You, some, only, our, how, need, per, might, made, going, used, I'm, use, good, want, just, really, thought, It's, local, What, must, government, something, went, course, after, too, system, like, came, So Figure 2: a set of negative keywords extracted from the George corpus, i.e. words occurring unusually infrequently compared with the British National Corpus. The data published by ResearchSpace under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. curatorialvoice.github.io
  19. 19. @j_w_baker Figure 3: Frequencies of some common verbs in the George corpus and their troponyms (combining all forms of each verb). The data published by ResearchSpace under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. curatorialvoice.github.io
  20. 20. @j_w_baker Mary Dorothy George (1878-1971) Image: © National Portrait Gallery, London curatorialvoice.github.io 1935-1954
  21. 21. @j_w_baker Image: Creative Commons BY-NC-SA 4.0, © Trustees of the British Museum
  22. 22. @j_w_baker The Hereditary Prince of Würtemberg, enormously corpulent, advances in profile to the l. towards the Princess Royal, his stomach supported on the bent back of a negro servant in livery (cf. BMSat 5433), saying, I was come from Yarmony to love you dearly, and was take you to Yarmony to love me. The Princess (l.), stout but comely, regards him appraisingly, saying, Lord what a Porpoise Pho!!! The n__o, with clenched fists and contorted face, shouts: Oh Lord oh lord my Neck will break. I can't carry it any farther. The Prince's gold-laced embroidered waistcoat and his ribbon contribute to his grotesque appearance; his coat is dotted with stars and orders as in BMSat 9006. Behind (r.), a man holding a saw stands by a small table out of which a semicircular piece has been cut: he says, his face and gestures expressing alarmed astonishment: Egad they did well to order a piece to be cut out of the Table, or he never could have reached his Dinner, and how he will reach her, God only knows. I suppose he has some German Method a rare Ram this to mend the Breed [cf. BMSat 8827]. A patterned carpet and pictures on the wall complete the design M. Dorothy George, Catalogue Vol 7 (1942) Image: Creative Commons BY-NC-SA 4.0, © Trustees of the British Museum
  23. 23. @j_w_baker The Hereditary Prince of Würtemberg, enormously corpulent, advances in profile to the l. towards the Princess Royal, his stomach supported on the bent back of a negro servant in livery (cf. BMSat 5433), saying, I was come from Yarmony to love you dearly, and was take you to Yarmony to love me. The Princess (l.), stout but comely, regards him appraisingly, saying, Lord what a Porpoise Pho!!! The n__o, with clenched fists and contorted face, shouts: Oh Lord oh lord my Neck will break. I can't carry it any farther. The Prince's gold-laced embroidered waistcoat and his ribbon contribute to his grotesque appearance; his coat is dotted with stars and orders as in BMSat 9006. Behind (r.), a man holding a saw stands by a small table out of which a semicircular piece has been cut: he says, his face and gestures expressing alarmed astonishment: Egad they did well to order a piece to be cut out of the Table, or he never could have reached his Dinner, and how he will reach her, God only knows. I suppose he has some German Method a rare Ram this to mend the Breed [cf. BMSat 8827]. A patterned carpet and pictures on the wall complete the design M. Dorothy George, Catalogue Vol 7 (1942) Image: Creative Commons BY-NC-SA 4.0, © Trustees of the British Museum
  24. 24. @j_w_baker The Hereditary Prince of Würtemberg, enormously corpulent, advances in profile to the l. towards the Princess Royal, his stomach supported on the bent back of a negro servant in livery (cf. BMSat 5433), saying, I was come from Yarmony to love you dearly, and was take you to Yarmony to love me. The Princess (l.), stout but comely, regards him appraisingly, saying, Lord what a Porpoise Pho!!! The n__o, with clenched fists and contorted face, shouts: Oh Lord oh lord my Neck will break. I can't carry it any farther. The Prince's gold-laced embroidered waistcoat and his ribbon contribute to his grotesque appearance; his coat is dotted with stars and orders as in BMSat 9006. Behind (r.), a man holding a saw stands by a small table out of which a semicircular piece has been cut: he says, his face and gestures expressing alarmed astonishment: Egad they did well to order a piece to be cut out of the Table, or he never could have reached his Dinner, and how he will reach her, God only knows. I suppose he has some German Method a rare Ram this to mend the Breed [cf. BMSat 8827]. A patterned carpet and pictures on the wall complete the design M. Dorothy George, Catalogue Vol 7 (1942) Image: Creative Commons BY-NC-SA 4.0, © Trustees of the British Museum
  25. 25. @j_w_baker The Hereditary Prince of Würtemberg, enormously corpulent, advances in profile to the l. towards the Princess Royal, his stomach supported on the bent back of a negro servant in livery (cf. BMSat 5433), saying, I was come from Yarmony to love you dearly, and was take you to Yarmony to love me. The Princess (l.), stout but comely, regards him appraisingly, saying, Lord what a Porpoise Pho!!! The n__o, with clenched fists and contorted face, shouts: Oh Lord oh lord my Neck will break. I can't carry it any farther. The Prince's gold-laced embroidered waistcoat and his ribbon contribute to his grotesque appearance; his coat is dotted with stars and orders as in BMSat 9006. Behind (r.), a man holding a saw stands by a small table out of which a semicircular piece has been cut: he says, his face and gestures expressing alarmed astonishment: Egad they did well to order a piece to be cut out of the Table, or he never could have reached his Dinner, and how he will reach her, God only knows. I suppose he has some German Method a rare Ram this to mend the Breed [cf. BMSat 8827]. A patterned carpet and pictures on the wall complete the design M. Dorothy George, Catalogue Vol 7 (1942) Image: Creative Commons BY-NC-SA 4.0, © Trustees of the British Museum
  26. 26. @j_w_baker The Hereditary Prince of Würtemberg, enormously corpulent, advances in profile to the l. towards the Princess Royal, his stomach supported on the bent back of a negro servant in livery (cf. BMSat 5433), saying, I was come from Yarmony to love you dearly, and was take you to Yarmony to love me. The Princess (l.), stout but comely, regards him appraisingly, saying, Lord what a Porpoise Pho!!! The n__o, with clenched fists and contorted face, shouts: Oh Lord oh lord my Neck will break. I can't carry it any farther. The Prince's gold-laced embroidered waistcoat and his ribbon contribute to his grotesque appearance; his coat is dotted with stars and orders as in BMSat 9006. Behind (r.), a man holding a saw stands by a small table out of which a semicircular piece has been cut: he says, his face and gestures expressing alarmed astonishment: Egad they did well to order a piece to be cut out of the Table, or he never could have reached his Dinner, and how he will reach her, God only knows. I suppose he has some German Method a rare Ram this to mend the Breed [cf. BMSat 8827]. A patterned carpet and pictures on the wall complete the design M. Dorothy George, Catalogue Vol 7 (1942) Image: Creative Commons BY-NC-SA 4.0, © Trustees of the British Museum
  27. 27. @j_w_baker The Hereditary Prince of Würtemberg, enormously corpulent, advances in profile to the l. towards the Princess Royal, his stomach supported on the bent back of a n___o servant in livery M. Dorothy George, Catalogue Vol 7 (1942) Image: Creative Commons BY-NC-SA 4.0, © Trustees of the British Museum
  28. 28. @j_w_baker “I suppose he has some German Method a rare Ram this to mend the Breed” M. Dorothy George, Catalogue Vol 7 (1942) Image: Creative Commons BY-NC-SA 4.0, © Trustees of the British Museum
  29. 29. @j_w_baker Image: Creative Commons BY-NC-SA 4.0, © Trustees of the British Museum
  30. 30. 1.5 million words of Mary Dorothy George A computational approach to curatorial voice and legacy descriptions of art objects James Baker Andrew Salway Senior Lecturer in Digital History and Archives Research Fellow in DH University of Sussex + Sussex Humanities Lab This work is licensed under a Creative Commons Attribution 4.0 International License. Exceptions: quotations, embeds from external sources, logos, marked images, slides marked with an alternative licence. curatorialvoice.github.io
  31. 31. @j_w_baker ███████████████████████████████████,█████████ ████████████,☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐ ☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐,☐☐☐☐☐☐☐ ☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐ ☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐*BRACKETED*,█████ ██*TRANSCRIBED*.☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐,█████████ ████████,█████████████████████████,███████,*TRA NSCRIBED*.█████████████████████████████████████ ████████████████████:*TRANSCRIBED*.█████████████ █████████████████████████████████████████████ █████████████████████████████████████████;███ █████████████████████████████████████████████ █████████.☐☐☐☐☐☐☐☐☐☐☐☐,☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐ ☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐ ☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐: █████████████████████████████████████████████ █████████████████: *TRANSRIBED* *BRACKETED*.☐☐☐☐☐ ☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐ ☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐☐. ☐ = spatial █ = non-spatial M. Dorothy George, Catalogue Vol 7 (1942) curatorialvoice.github.io

Talk given at DH Benelux, Liege, 12 September 2019

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