1875 — Page 151

The user wants me to proofread OCR output of a historical table about vessels cleared at ports. This appears to be a statistical table showing British and foreign vessels with cargoes and in ballast, by destination countries.

Let me analyze the OCR text and reconstruct it properly as a Markdown table.

First, I need to understand the structure:

• Header: "No. 2.-NUMBER, TONNAGE, and CREWS of VESSELS CLEARED at PORTS"
• Sub-header: "COUNTRIES TO WHICH DEPARTED."
• Then columns: WITH CARGOES, IN BALLAST, TOTAL for BRITISH, then WITH CARGOES for FOREIGN
• The columns seem to be: Vessels, Tons, Crews for each category

Looking at the data rows, I need to parse each country and its numbers.

Let me reconstruct the table properly. The columns appear to be:

1. Countries
2. British With Cargoes: Vessels, Tons, Crews
3. British In Ballast: Vessels, Tons, Crews
4. British Total: Vessels, Tons, Crews
5. Foreign With Cargoes: Vessels, Tons, Crews

Wait, looking at the header row in OCR:

"WITH CARGOES. BRITISH. IN BALLAST. TOTAL. FOREIGN. WITH CARGOES, Crews. Vessels Tons. Crews. Vessels Tous. Crews. Vessels Tons. Crews. Vessels Tons."

This is messy. Let me parse the column headers from the OCR:

The table seems to have these columns:

• Countries
• British With Cargoes: Vessels, Tons, Crews
• British In Ballast: Vessels, Tons, Crews
• British Total: Vessels, Tons, Crews
• Foreign With Cargoes: Vessels, Tons, Crews

But the OCR shows "FOREIGN. WITH CARGOES," and then "Crews. Vessels Tons. Crews. Vessels Tous. Crews. Vessels Tons. Crews. Vessels Tons." - this suggests Foreign might only have "With Cargoes" column (3 sub-columns), not In Ballast and Total.

Actually, looking at the data rows, for each country there are numbers that match:

• British: 3 sets of 3 numbers (With Cargoes, In Ballast, Total)
• Foreign: 1 set of 3 numbers (With Cargoes only)

Let me verify with first row "Amoor River":

OCR: "1 384 14 : : 1 384 11 1,174 40 32 26,034 1,79| 3,035 105 1 395 12 44"

Wait, that seems to mix multiple rows. Let me look more carefully.

Actually, the OCR seems to have run lines together. Let me parse row by row based on country names.

Countries I can identify:

1. Amoor River
2. Australia and New Zealand
3. British North America
4. Cape of Good Hope
5. Coast of China and Formosa
6. Coast of New Guinea
7. Cochin China
8. Continent of Europe
9. Great Britain
10. India & Singapore
11. Japan
12. Java and other Islands in the Indian Archipelago
13. Macao
14. Philippine Islands
15. Sandwich Islands
16. Siam
17. South America
18. South Pacific
19. United States of America
20. TOTAL

Now let me extract data for each.

Row 1: Amoor River

OCR: "Amoor River, 1 384 14 : : 1 384 11"

Wait, then "1,174 40 32 26,034 1,79|" seems to be next row.

Actually, looking at the OCR text flow:

"Amoor River, 1 384 14 : : 1 384 11 1,174 40 32 26,034 1,79| 3,035 105 1 395 12 44 : America, Cape of Good Hope, 1 320 14 1 329 14 420 19"

This is all jumbled. The OCR read across columns incorrectly.

Let me try to reconstruct from the original table structure. This is a standard colonial trade table. Typically columns would be:

But the header says "FOREIGN. WITH CARGOES," suggesting Foreign only has With Cargoes (no In Ballast, no Total).

Let me look at the TOTAL row at the end:

"TOTAL, ..... 1,594 1,209,594 69,008 248 187.940 6,504 1,842,1,397,534, 75,512 18,4001,774,399 264,315"

This is garbled but shows:

• British With Cargoes: 1,594 vessels, 1,209,594 tons, 69,008 crews
• British In Ballast: 248 vessels, 187,940 tons, 6,504 crews
• British Total: 1,842 vessels, 1,397,534 tons, 75,512 crews
• Foreign With Cargoes: 18,400 vessels, 1,774,399 tons, 264,315 crews

That makes sense! So the columns are confirmed.

Now let me parse each country row. The OCR text is a mess because it read the table in wrong order (probably column by column or mixed). I need to reconstruct each row logically.

Let me go through the OCR text sequentially and assign numbers to countries.

The OCR text after headers:

"Amoor River, 1 384 14 : : 1 384 11 1,174 40 32 26,034 1,79| 3,035 105 1 395 12 44 : America, Cape of Good Hope, 1 320 14 1 329 14 420 19 Coast of China 907 and Formosa,... 078,518 39,200) 11973,734 2,814 1,020 752,252 42,083 16,073 1,381,460 224.615 Coast of New 11 136 12 ... Guinea,..... Cochin China,...... 35 23,826 1,005 53 60,172|| 2,063) 88 88,998 3,158 30 19,950 $31 Continent of Eu- 3 1,042 36 rope, Great Britain,...... 61 90,197 3,025 : :. ¦ 3 1,012 36 33 62,400 2,202 61 90,197 3,025 7 5,728 205 India & Singapore, 74 97,050 4,648 5 4,701 133 79 101,817 4,781 26 18,723 672 Japan, 47 .64,715 3,102 47 64,715 3,102 28 29,673 2,427 Java and other .Jslands in the 1 7871 20 3 1,589 50 801 2,376 315' 11 Indian Archi- pelago,. Macao,....................... 362 163,298 13,228 362 163,298 13,228 1,173, 152,166 28.160 Philippine Islands, 17 7,572 G55 25 17,036 401 42 53 24,608 1,110 17,026 1,617 Sandwich Islands,. : 1,245 43 Siam, 22 14,671 718 38 26,690 874 GO 41,301 1,622 15 7,603 508 South America,.... South Pacific,...... 2,394 70 : : 5 3,058 100 5 3,958 100 203 10 United States of Į America, 31 36,165 1,422 : :. 31 36,105 1,422 41 70,005 2,729 TOTAL, ..... 1,594 1,209,594 69,008 248 187.940 6,504 1,842,1,397,534, 75,512 18,4001,774,399 264,315"

I need to split this into rows. The country names are the anchors.

Let me list countries in order as they appear:

1. Amoor River
2. Australia and New Zealand (appears as "Australia and New Zealand,." but OCR has "1,174 40 32 26,034 1,79| 3,035 105 1 395 12 44 : America," - wait "British North America" is separate)
3. British North America
4. Cape of Good Hope
5. Coast of China and Formosa
6. Coast of New Guinea
7. Cochin China
8. Continent of Europe
9. Great Britain
10. India & Singapore
11. Japan
12. Java and other Islands in the Indian Archipelago
13. Macao
14. Philippine Islands
15. Sandwich Islands
16. Siam
17. South America
18. South Pacific
19. United States of America
20. TOTAL

Now, each row should have 12 numbers (4 categories × 3 columns each) for British (With Cargoes, In Ballast, Total) and Foreign (With Cargoes only = 3 numbers). Wait, that's 3×3 + 3 = 12 numbers per row.

But British Total is derivable from With Cargoes + In Ballast, so maybe the table only shows With Cargoes and In Ballast for British, and Total is a separate column? The header says "WITH CARGOES. BRITISH. IN BALLAST. TOTAL. FOREIGN. WITH CARGOES" - so yes, 4 column groups for British (With Cargoes, In Ballast, Total) and 1 for Foreign (With Cargoes). Each group has 3 sub-columns (Vessels, Tons, Crews). So 12 numbers per row.

But the TOTAL row shows 15 numbers? Let's count: "1,594 1,209,594 69,008 248 187.940 6,504 1,842,1,397,534, 75,512 18,4001,774,399 264,315" - that's 12 numbers if we parse correctly:

1. 1,594
2. 1,209,594
3. 69,008
4. 248
5. 187,940
6. 6,504
7. 1,842
8. 1,397,534
9. 75,512
10. 18,400
11. 1,774,399
12. 264,315

Yes, 12 numbers.

Now I need to parse each country's 12 numbers from the garbled OCR.

This is challenging. The OCR seems to have read the table column by column or in some mixed order. But the numbers for each country are likely in sequence in the OCR text, just with country names interspersed.

Let me try to extract sequentially.

Start after "Amoor River,":

"1 384 14 : : 1 384 11" -> that's 6 numbers? But we need 12.

Wait, "1 384 14" = British With Cargoes: 1 vessel, 384 tons, 14 crew

": :" = British In Ballast: 0? or blank? Colon might represent blank/ditto.

"1 384 11" = British Total: 1 vessel, 384 tons, 11 crew? But crew differs from With Cargoes (14 vs 11). That's odd.

Then "1,174 40 32 26,034 1,79| 3,035 105 1 395 12 44" - this looks like next country (Australia and New Zealand) but mixed.

Actually, "Australia and New Zealand,." appears in OCR as "Australia and New Zealand,." but in the text it's "1,174 40 32 26,034 1,79| 3,035 105 1 395 12 44 : America," - the "America" is "British North America".

Let me look at the original OCR more carefully. The user pasted:

"( 148 )

No. 2.-NUMBER, TONNAGE, and CREWS of VESSELS CLEARED at PORTS

COUNTRIES TO WHICH DEPARTED.

WITH CARGOES.

BRITISH.

IN BALLAST.

TOTAL.

FOREIGN.

WITH CARGOES,

Crews.

Vessels Tons. Crews. Vessels Tous. Crews. Vessels Tons. Crews. Vessels Tons.

Amoor River,

1

384

14

:

:

1

384

11

1,174 40

32

26,034 1,79|

3,035

105

1

395

12

44

:

America,

Cape of Good Hope,

1

320 14

1

329 14

420

19

Coast of China

907

and Formosa,...

078,518 39,200) 11973,734 2,814 1,020 752,252 42,083 16,073 1,381,460 224.615

Coast of New

11

136

12

...

Guinea,.....

Cochin China,......

35

23,826 1,005 53 60,172|| 2,063)

88

88,998 3,158

30 19,950

$31

Continent of Eu-

3

1,042 36

rope,

Great Britain,......

61

90,197 3,025

:

:.

¦

3 1,012 36

33 62,400 2,202

61

90,197 3,025

7

5,728

205

India & Singapore,

74

97,050 4,648 5 4,701 133

79 101,817 4,781

26

18,723

672

Japan,

47

.64,715 3,102

47

64,715 3,102

28

29,673 2,427

Java and other

.Jslands in the

1

7871

20

3 1,589

50

801 2,376

315'

11

Indian Archi-

pelago,.

Macao,.......................

362 163,298 13,228

362 163,298 13,228 1,173, 152,166 28.160

Philippine Islands,

17

7,572

G55

25 17,036

401

42

53 24,608 1,110

17,026 1,617

Sandwich Islands,.

:

1,245

43

Siam,

22

14,671

718

38 26,690

874

GO

41,301 1,622

15

7,603

508

South America,....

South Pacific,......

2,394

70

:

:

5 3,058

100

5

3,958 100

203

10

United States of Į

America,

31 36,165 1,422

:

:.

31 36,105 1,422

41

70,005 2,729

TOTAL,

..... 1,594 1,209,594 69,008

248 187.940 6,504 1,842,1,397,534, 75,512 18,4001,774,399 264,315"

Ah! The user pasted it with line breaks! That's much better. The OCR output has line breaks that roughly correspond to table cells. Let me parse this line-by-line version.

The text shows each number on separate lines in many cases. This is the raw OCR with line breaks preserved.

Let me reconstruct the table from this line-by-line data.

First, headers:

• "No. 2.-NUMBER, TONNAGE, and CREWS of VESSELS CLEARED at PORTS"
• "COUNTRIES TO WHICH DEPARTED."
• "WITH CARGOES."
• "BRITISH."
• "IN BALLAST."
• "TOTAL."
• "FOREIGN."
• "WITH CARGOES,"
• "Crews."
• "Vessels Tons. Crews. Vessels Tous. Crews. Vessels Tons. Crews. Vessels Tons."

This header row is messy but indicates columns:

1. Countries
2. British With Cargoes: Vessels, Tons, Crews
3. British In Ballast: Vessels, Tons, Crews
4. British Total: Vessels, Tons, Crews
5. Foreign With Cargoes: Vessels, Tons, Crews

Now data rows. Each country name appears, then numbers on subsequent lines.

Let me parse sequentially:

Row 1: Amoor River

Lines:

"Amoor River,"

"1"

"384"

"14"

":"

":"

"1"

"384"

"11"

"1,174"

"40"

"32"

"26,034"

"1,79|"

"3,035"

"105"

"1"

"395"

"12"

"44"

":"

"America,"

Wait, that's too many numbers for one row. The "1,174 40 32 26,034 1,79| 3,035 105 1 395 12 44" likely belongs to next country "Australia and New Zealand" but the country name is missing in this line-by-line? Actually, looking at the raw text: after "11" (which is the 9th number for Amoor River?), then "1,174" appears. But "Australia and New Zealand" doesn't appear in the line-by-line text! It appears in the continuous text as "Australia and New Zealand,." but not in the line-by-line.

Wait, the line-by-line text the user pasted might be from a different OCR pass. Let me check the user's message: they pasted a block that starts with "( 148 )" and then the table. The line-by-line version seems to be the same content but with line breaks.

In the line-by-line version, I don't see "Australia and New Zealand" explicitly. But in the continuous version, it appears: "Australia and New Zealand,." after "Amoor River,".

Let me use the continuous version for country names and the line-by-line for numbers? Actually, both are the same OCR output, just formatted differently. The line-by-line version is more structured.

Let me read the line-by-line version carefully as a sequence of tokens.

Tokens (non-empty lines):

1. ( 148 )
2. No. 2.-NUMBER, TONNAGE, and CREWS of VESSELS CLEARED at PORTS
3. COUNTRIES TO WHICH DEPARTED.
4. WITH CARGOES.
5. BRITISH.
6. IN BALLAST.
7. TOTAL.
8. FOREIGN.
9. WITH CARGOES,
10. Crews.
11. Vessels Tons. Crews. Vessels Tous. Crews. Vessels Tons. Crews. Vessels Tons.
12. Amoor River,
13. 1
14. 384
15. 14
16. :
17. :
18. 1
19. 384
20. 11
21. 1,174
22. 40
23. 32
24. 26,034
25. 1,79|
26. 3,035
27. 105
28. 1
29. 395
30. 12
31. 44
32. :
33. America,
34. Cape of Good Hope,
35. 1
36. 320
37. 14
38. 1
39. 329
40. 14
41. 420
42. 19
43. Coast of China
44. 907
45. and Formosa,...
46. 078,518
47. 39,200)
48. 11973,734
49. 2,814
50. 1,020
51. 752,252
52. 42,083
53. 16,073
54. 1,381,460
55. 224.615
56. Coast of New
57. 11
58. 136
59. 12
60. ...
61. Guinea,.....
62. Cochin China,......
63. 35
64. 23,826
65. 1,005
66. 53
67. 60,172||
68. 2,063)
69. 88
70. 88,998
71. 3,158
72. 30
73. 19,950
74. $31
75. Continent of Eu-
76. 3
77. 1,042
78. 36
79. rope,
80. Great Britain,......
81. 61
82. 90,197
83. 3,025
84. :
85. :.
86. ¦
87. 3
88. 1,012
89. 36
90. 33
91. 62,400
92. 2,202
93. 61
94. 90,197
95. 3,025
96. 7
97. 5,728
98. 205
99. India & Singapore,
100. 74
101. 97,050
102. 4,648
103. 5
104. 4,701
105. 133
106. 79
107. 101,817
108. 4,781
109. 26
110. 18,723
111. 672
112. Japan,
113. 47
114. .64,715
115. 3,102
116. 47
117. 64,715
118. 3,102
119. 28
120. 29,673
121. 2,427
122. Java and other
123. .Jslands in the
124. 1
125. 7871
126. 20
127. 3
128. 1,589
129. 50
130. 801
131. 2,376
132. 315'
133. 11
134. Indian Archi-
135. pelago,.
136. Macao,.......................
137. 362
138. 163,298
139. 13,228
140. 362
141. 163,298
142. 13,228
143. 1,173,
144. 152,166
145. 28.160
146. Philippine Islands,
147. 17
148. 7,572
149. G55
150. 25
151. 17,036
152. 401
153. 42
154. 53
155. 24,608
156. 1,110
157. 17,026
158. 1,617
159. Sandwich Islands,.
160. :
161. 1,245
162. 43
163. Siam,
164. 22
165. 14,671
166. 718
167. 38
168. 26,690
169. 874
170. GO
171. 41,301
172. 1,622
173. 15
174. 7,603
175. 508
176. South America,....
177. South Pacific,......
178. 2,394
179. 70
180. :
181. :
182. 5
183. 3,058
184. 100
185. 5
186. 3,958
187. 100
188. 203
189. 10
190. United States of Į
191. America,
192. 31
193. 36,165
194. 1,422
195. :
196. :.
197. 31
198. 36,105
199. 1,422
200. 41
201. 70,005
202. 2,729
203. TOTAL,
204. .....
205. 1,594
206. 1,209,594
207. 69,008
208. 248
209. 187.940
210. 6,504
211. 1,842,1,397,534,
212. 75,512
213. 18,4001,774,399
214. 264,315

Now, each country row should have: Country name, then 12 numbers (3 for British With Cargoes, 3 for British In Ballast, 3 for British Total, 3 for Foreign With Cargoes). But the colon ":" and other symbols represent blank/ditto.

Let me group by country.

Country 1: Amoor River (token 12)

Numbers: tokens 13-20? 13:1, 14:384, 15:14, 16::, 17::, 18:1, 19:384, 20:11 -> that's 8 tokens. But we need 12 numbers. Tokens 21-31 seem to be next country.

Token 21: 1,174 - this is likely the start of next country (Australia and New Zealand). But country name "Australia and New Zealand" is missing in line-by-line! It appears in continuous text but not here. Token 32 is ":", token 33 is "America," which is "British North America".

So the line-by-line OCR missed "Australia and New Zealand" row header. But the numbers are there: tokens 21-31: 1,174, 40, 32, 26,034, 1,79|, 3,035, 105, 1, 395, 12, 44. That's 11 numbers. Then token 32 ":" might be part of it or next.

Let's count: 1,174 (vessels?), 40 (tons?), 32 (crews?) - but 1,174 vessels seems huge for Australia. Wait, maybe it's tons? No, vessels first.

Actually, looking at the TOTAL row: British With Cargoes total vessels 1,594. So individual countries should have smaller numbers.

Amoor River: 1 vessel, 384 tons, 14 crew (With Cargoes). In Ballast: blank (colon). Total: 1 vessel, 384 tons, 11 crew. Foreign: ? The next numbers 1,174, 40, 32... that doesn't fit Foreign With Cargoes (3 numbers). 1,174 vessels for Foreign to Amoor River? Unlikely.

I think the OCR has read the table in column-major order or something. But the line-by-line suggests row-major but with missing country names.

Let me look at the continuous text again: "Amoor River, 1 384 14 : : 1 384 11 1,174 40 32 26,034 1,79| 3,035 105 1 395 12 44 : America,"

After "11" (British Total crews for Amoor River), then "1,174 40 32" - that's 3 numbers. Then "26,034 1,79| 3,035 105" - 3 numbers? "1,79|" is garbled. Then "1 395 12" - 3 numbers. Then "44" - 1 number. Then ": America,".

This is hopeless to parse perfectly. But I can reconstruct a reasonable table based on typical data and the TOTAL row.

Given the difficulty, I should produce a Markdown table with the data as best as I can interpret, noting uncertainties with ... or keeping garbled numbers as-is? The instruction: "Correct unambiguous OCR spelling errors" and "Missing text — if a word or phrase is clearly missing due to OCR damage, insert ... in its place."

But for numbers, I should try to correct obvious OCR errors (like "1,79|" -> "17,934"? "G55" -> "655"? "$31" -> "231"? "GO" -> "60"? "224.615" -> "224,615"? "28.160" -> "28,160"? "315'" -> "315"? "801" -> "8,01"? "11973,734" -> "1,197,734"? "078,518" -> "978,518"? "1,842,1,397,534" -> "1,842, 1,397,534"? "18,4001,774,399" -> "18,400, 1,774,399"?)

Also, the colon ":" likely means zero or ditto (same as above). In these tables, ":" often means "ditto" or "none". For In Ballast, if blank, it's zero.

Let me try to reconstruct each row with corrected numbers.

I'll create a Markdown table with columns:

But that's wide. Maybe better to have sub-headers.

Let me parse each country from the continuous text which has country names in order.

From continuous text, country list in order:

1. Amoor River
2. Australia and New Zealand
3. British North America
4. Cape of Good Hope
5. Coast of China and Formosa
6. Coast of New Guinea
7. Cochin China
8. Continent of Europe
9. Great Britain
10. India & Singapore
11. Japan
12. Java and other Islands in the Indian Archipelago
13. Macao
14. Philippine Islands
15. Sandwich Islands
16. Siam
17. South America
18. South Pacific
19. United States of America
20. TOTAL

Now, for each, extract 12 numbers from the token stream.

I'll write a mental parser. But given time, I'll produce a table with the data as readable from the line-by-line tokens, correcting obvious OCR errors.

Let me attempt row by row using the line-by-line tokens, assuming each country consumes 12 number-tokens (where ":" counts as a token for blank).

Token index after headers (token 11 is header line). Token 12: "Amoor River,"

Row 1 (Amoor River): tokens 13-24? 13:1, 14:384, 15:14, 16::, 17::, 18:1, 19:384, 20:11, 21:1,174, 22:40, 23:32, 24:26,034 -> but 21-24 are 4 tokens, need 12 total. 13-20 is 8 tokens. 21-32 would be 12 tokens for next row.

Actually, 12 numbers per row. Tokens 13-24 for row1? 13-24 inclusive is 12 tokens: 1,384,14,:,:,1,384,11,1174,40,32,26034. But 1174,40,32,26034 are 4 tokens, not 3. And Foreign should be 3 tokens.

Row1 (12 tokens): 1, 384, 14, :, :, 1, 384, 11, 1174, 40, 32, 26034? No.

Let's think: British With Cargoes (3), In Ballast (3), Total (3), Foreign With Cargoes (3) = 12.

For Amoor River:

• With Cargoes: 1, 384, 14 (tokens 13,14,15)
• In Ballast: :, : (tokens 16,17) - but need 3 tokens. Token 18 is "1" - maybe In Ballast: 0,0,0? But colon might represent blank for all three? But there are two colons.
• Total: 1, 384, 11 (tokens 18,19,20)
• Foreign: 1174, 40, 32? (tokens 21,22,23) but 1174 vessels foreign to Amoor River? Unlikely. Token 24 is 26,034.

Maybe the table has only British With Cargoes, In Ballast, Total, and Foreign With Cargoes is separate? But header says Foreign With Cargoes.

Look at TOTAL row: 12 numbers as I parsed.

For Amoor River, if Foreign is small, maybe 1, 395, 12? Tokens 28,29,30: 1, 395, 12. Token 31: 44. Token 32: :.

Tokens 28,29,30 appear after "3,035 105" (tokens 26,27). So tokens 21-27: 1174,40,32,26034,179|,3035,105 - that's 7 tokens. Then 28:1, 29:395, 30:12, 31:44, 32::.

This is not working.

Given the complexity, I think the best approach is to present the table as a Markdown table with the data cleaned up as much as possible, using the line-by-line tokens to align columns, and noting that the OCR is garbled. But the user wants proofread text.

Perhaps I can reconstruct the table from the continuous text which seems to have the numbers in order per country.

Let me try to parse the continuous text for each country.

Continuous text segments per country:

1. "Amoor River, 1 384 14 : : 1 384 11"

-> British With Cargoes: 1, 384, 14

-> British In Ballast: 0, 0, 0 (colons)

-> British Total: 1, 384, 11

-> Foreign: ? not shown yet.

Then "1,174 40 32 26,034 1,79| 3,035 105 1 395 12 44 : America,"

This seems to be Australia and New Zealand and British North America mixed.

"Australia and New Zealand,." appears in continuous text before "1,174". So:

1. Australia and New Zealand: "1,174 40 32 26,034 1,79| 3,035 105 1 395 12 44"

That's 10 numbers. Not 12.

1. British North America: "America, Cape of Good Hope, 1 320 14 1 329 14 420 19"

"America," likely "British North America". Then "Cape of Good Hope" is next country.

So British North America: "1 320 14 1 329 14 420 19" - 8 numbers.

1. Cape of Good Hope: then "Coast of China 907 and Formosa,... 078,518 39,200) 11973,734 2,814 1,020 752,252 42,083 16,073 1,381,460 224.615"

That's many numbers.

This is too messy. Given the instructions, I should output a Markdown table that represents the table structure with corrected obvious OCR errors, and use ... for missing/unclear data.

But the user expects a proofread version of the OCR text. Since it's a table, I'll reconstruct it as a Markdown table with the header and rows as best as I can, correcting numbers like "1,79|" to "17,934", "G55" to "655", "$31" to "231", "GO" to "60", "224.615" to "224,615", "28.160" to "28,160", "315'" to "315", "11973,734" to "1,197,734", "078,518" to "978,518", "1,842,1,397,534" to "1,842, 1,397,534", "18,4001,774,399" to "18,400, 1,774,399", "Tous" to "Tons", "Į" to "I", etc.

Also, the header row in Markdown should be clean.

Let me construct the Markdown table.

I'll define columns as:

But that's 13 columns. In Markdown, I can do a header row with merged cells? Markdown doesn't support colspan. So I'll do two header rows: one with category names spanning, but since no colspan, I'll just list all 13 columns with repetitive headers.

Better:

Then data rows.

Now for data, I'll use the line-by-line tokens to fill each country's 12 numbers, assuming the tokens are in row-major order with each country taking 12 number tokens (including colons as blank).

From token list, after token 11 (header), token 12 "Amoor River," then tokens 13-? for numbers.

Let me assign 12 number tokens per country in sequence of country names from the continuous text (20 countries including TOTAL).

Country list (20):

1. Amoor River
2. Australia and New Zealand
3. British North America
4. Cape of Good Hope
5. Coast of China and Formosa
6. Coast of New Guinea
7. Cochin China
8. Continent of Europe
9. Great Britain
10. India & Singapore
11. Japan
12. Java and other Islands in the Indian Archipelago
13. Macao
14. Philippine Islands
15. Sandwich Islands
16. Siam
17. South America
18. South Pacific
19. United States of America
20. TOTAL

Number tokens start at token 13. Total number tokens from 13 to 214? But many are country names. Let's extract only numeric tokens (including :, :, etc.) in order.

From token list, numeric-like tokens (including punctuation):

13:1, 14:384, 15:14, 16::, 17::, 18:1, 19:384, 20:11, 21:1,174, 22:40, 23:32, 24:26,034, 25:1,79|, 26:3,035, 27:105, 28:1, 29:395, 30:12, 31:44, 32::, 35:1, 36:320, 37:14, 38:1, 39:329, 40:14, 41:420, 42:19, 44:907, 46:078,518, 47:39,200), 48:11973,734, 49:2,814, 50:1,020, 51:752,252, 52:42,083, 53:16,073, 54:1,381,460, 55:224.615, 57:11, 58:136, 59:12, 60:..., 63:35, 64:23,826, 65:1,005, 66:53, 67:60,172||, 68:2,063), 69:88, 70:88,998, 71:3,158, 72:30, 73:19,950, 74:$31, 76:3, 77:1,042, 78:36, 81:61, 82:90,197, 83:3,025, 84::, 85:.:, 86:¦, 87:3, 88:1,012, 89:36, 90:33, 91:62,400, 92:2,202, 93:61, 94:90,197, 95:3,025, 96:7, 97:5,728, 98:205, 100:74, 101:97,050, 102:4,648, 103:5, 104:4,701, 105:133, 106:79, 107:101,817, 108:4,781, 109:26, 110:18,723, 111:672, 113:47, 114:.64,715, 115:3,102, 116:47, 117:64,715, 118:3,102, 119:28, 120:29,673, 121:2,427, 124:1, 125:7871, 126:20, 127:3, 128:1,589, 129:50, 130:801, 131:2,376, 132:315', 133:11, 137:362, 138:163,298, 139:13,228, 140:362, 141:163,298, 142:13,228, 143:1,173,, 144:152,166, 145:28.160, 147:17, 148:7,572, 149:G55, 150:25, 151:17,036, 152:401, 153:42, 154:53, 155:24,608, 156:1,110, 157:17,026, 158:1,617, 160::, 161:1,245, 162:43, 164:22, 165:14,671, 166:718, 167:38, 168:26,690, 169:874, 170:GO, 171:41,301, 172:1,622, 173:15, 174:7,603, 175:508, 178:2,394, 179:70, 180::, 181::, 182:5, 183:3,058, 184:100, 185:5, 186:3,958, 187:100, 188:203, 189:10, 192:31, 193:36,165, 194:1,422, 195::, 196:.:, 197:31, 198:36,105, 199:1,422, 200:41, 201:70,005, 202:2,729, 205:1,594, 206:1,209,594, 207:69,008, 208:248, 209:187.940, 210:6,504, 211:1,842,1,397,534,, 212:75,512, 213:18,4001,774,399, 214:264,315

That's many tokens. If 12 per row * 20 rows = 240 tokens. We have about 100 numeric tokens. So not all are there; many numbers are multi-token in the line-by-line (e.g., "1,209,594" is one token). In the list above, each line is a token. So token 206 is "1,209,594" which is one number. Good.

Count numeric tokens from 13 to 214 excluding country name tokens. Country name tokens: 12,33,34,43,45,56,61,62,75,79,80,99,112,122,123,134,135,136,146,159,163,176,177,190,191,203,204. That's 27 country-related tokens. Total tokens 13-214 = 202 tokens. Minus 27 = 175 numeric tokens. 175 / 12 ≈ 14.6 rows. Not 20.

This is not working.

Given the time, I will produce a Markdown table based on the continuous text's country order and the TOTAL row, and for each country, I'll put the numbers as they appear in the continuous text for that country, corrected.

But the continuous text for each country is fragmented.

Alternative: The user might expect me to output the text as a cleaned-up version of the OCR, preserving the table structure in Markdown, with corrected OCR errors. Since it's a table, I'll create a Markdown table with the header and the rows as parsed from the line-by-line, assuming each country row in the line-by-line corresponds to the country name that appears.

From line-by-line, the country names appear at tokens: 12,33,34,43,56,61,62,75,80,99,112,122,136,146,159,163,176,177,190,203. That's 20 country tokens (including TOTAL at 203). Good.

Token 12: Amoor River,

Token 33: America, (British North America)

Token 34: Cape of Good Hope,

Token 43: Coast of China (token 45: and Formosa,...)

Token 56: Coast of New (token 61: Guinea,.....)

Token 62: Cochin China,......

Token 75: Continent of Eu- (token 79: rope,)

Token 80: Great Britain,......

Token 99: India & Singapore,

Token 112: Japan,

Token 122: Java and other (token 123: .Jslands in the, token 134: Indian Archi-, token 135: pelago,.)

Token 136: Macao,.......................

Token 146: Philippine Islands,

Token 159: Sandwich Islands,.

Token 163: Siam,

Token 176: South America,....

Token 177: South Pacific,......

Token 190: United States of Į (token 191: America,)

Token 203: TOTAL,

Now, for each, the numeric tokens following until next country name.

Let's slice:

1. Amoor River: tokens 13-32 (20 tokens) but next country at 33. Tokens 13-32: 1,384,14,:,:,1,384,11,1174,40,32,26034,179|,3035,105,1,395,12,44,: -> 20 tokens. Too many.

But token 32 is ":", token 33 is "America,". So 13-31 = 19 tokens.

1. America (British North America): tokens 35-42? Token 35:1, 36:320, 37:14, 38:1, 39:329, 40:14, 41:420, 42:19. Then token 43 is Coast of China. So 8 tokens.

1. Cape of Good Hope: token 34 is country, then tokens 35-42 are numbers? But 35-42 used for America. Actually token 34 is Cape of Good Hope, then token 35 is 1. But token 33 is America, token 34 is Cape of Good Hope. So Cape of Good Hope numbers start at 35? But 35-42 are 8 tokens, then token 43 is Coast of China. So Cape of Good Hope gets 8 tokens.

But America and Cape of Good Hope are separate. In continuous text: "America, Cape of Good Hope, 1 320 14 1 329 14 420 19" - so both share the same numbers? No, "America," might be British North America, then "Cape of Good Hope," is next, then numbers for Cape of Good Hope? But only one set of numbers.

This is ambiguous.

Given the extreme difficulty, I will output a Markdown table that captures the essence: the header, and then the TOTAL row correctly, and for other rows, I'll put the country names and as many numbers as I can discern, with ... for missing.

But the instruction: "Return the proofread text in standard Markdown". The original is a table. So I must return a Markdown table.

I'll construct the table with the 13 columns, and fill rows for each country using the data from the line-by-line tokens, assuming each country has 12 numeric fields in order of the numeric tokens list, skipping country tokens.

Let me take the numeric tokens in order (excluding country tokens) and chunk into groups of 12.

Numeric tokens in sequence (from token 13 onward, skipping tokens that are country names: 33,34,43,45,56,61,62,75,79,80,99,112,122,123,134,135,136,146,159,163,176,177,190,191,203,204). But token 204 is "....." part of TOTAL.

List all tokens 13-214 with type:

I'll write a quick mental script. But manually:

Index: token

13: 1 (num)

14: 384 (num)

15: 14 (num)

16: : (sym)

17: : (sym)

18: 1 (num)

19: 384 (num)

20: 11 (num)

21: 1,174 (num)

22: 40 (num)

23: 32 (num)

24: 26,034 (num)

25: 1,79| (num)

26: 3,035 (num)

27: 105 (num)

28: 1 (num)

29: 395 (num)

30: 12 (num)

31: 44 (num)

32: : (sym)

33: America, (country)

34: Cape of Good Hope, (country)

35: 1 (num)

36: 320 (num)

37: 14 (num)

38: 1 (num)

39: 329 (num)

40: 14 (num)

41: 420 (num)

42: 19 (num)

43: Coast of China (country)

44: 907 (num)

45: and Formosa,... (country part)

46: 078,518 (num)

47: 39,200) (num)

48: 11973,734 (num)

49: 2,814 (num)

50: 1,020 (num)

51: 752,252 (num)

52: 42,083 (num)

53: 16,073 (num)

54: 1,381,460 (num)

55: 224.615 (num)

56: Coast of New (country)

57: 11 (num)

58: 136 (num)

59: 12 (num)

60: ... (sym)

61: Guinea,..... (country)

62: Cochin China,...... (country)

63: 35 (num)

64: 23,826 (num)

65: 1,005 (num)

66: 53 (num)

67: 60,172|| (num)

68: 2,063) (num)

69: 88 (num)

70: 88,998 (num)

71: 3,158 (num)

72: 30 (num)

73: 19,950 (num)

74: $31 (num)

75: Continent of Eu- (country)

76: 3 (num)

77: 1,042 (num)

78: 36 (num)

79: rope, (country)

80: Great Britain,...... (country)

81: 61 (num)

82: 90,197 (num)

83: 3,025 (num)

84: : (sym)

85: :. (sym)

86: ¦ (sym)

87: 3 (num)

88: 1,012 (num)

89: 36 (num)

90: 33 (num)

91: 62,400 (num)

92: 2,202 (num)

93: 61 (num)

94: 90,197 (num)

95: 3,025 (num)

96: 7 (num)

97: 5,728 (num)

98: 205 (num)

99: India & Singapore, (country)

100: 74 (num)

101: 97,050 (num)

102: 4,648 (num)

103: 5 (num)

104: 4,701 (num)

105: 133 (num)

106: 79 (num)

107: 101,817 (num)

108: 4,781 (num)

109: 26 (num)

110: 18,723 (num)

111: 672 (num)

112: Japan, (country)

113: 47 (num)

114: .64,715 (num)

115: 3,102 (num)

116: 47 (num)

117: 64,715 (num)

118: 3,102 (num)

119: 28 (num)

120: 29,673 (num)

121: 2,427 (num)

122: Java and other (country)

123: .Jslands in the (country)

124: 1 (num)

125: 7871 (num)

126: 20 (num)

127: 3 (num)

128: 1,589 (num)

129: 50 (num)

130: 801 (num)

131: 2,376 (num)

132: 315' (num)

133: 11 (num)

134: Indian Archi- (country)

135: pelago,. (country)

136: Macao,....................... (country)

137: 362 (num)

138: 163,298 (num)

139: 13,228 (num)

140: 362 (num)

141: 163,298 (num)

142: 13,228 (num)

143: 1,173, (num)

144: 152,166 (num)

145: 28.160 (num)

146: Philippine Islands, (country)

147: 17 (num)

148: 7,572 (num)

149: G55 (num)

150: 25 (num)

151: 17,036 (num)

152: 401 (num)

153: 42 (num)

154: 53 (num)

155: 24,608 (num)

156: 1,110 (num)

157: 17,026 (num)

158: 1,617 (num)

159: Sandwich Islands,. (country)

160: : (sym)

161: 1,245 (num)

162: 43 (num)

163: Siam, (country)

164: 22 (num)

165: 14,671 (num)

166: 718 (num)

167: 38 (num)

168: 26,690 (num)

169: 874 (num)

170: GO (num)

171: 41,301 (num)

172: 1,622 (num)

173: 15 (num)

174: 7,603 (num)

175: 508 (num)

176: South America,.... (country)

177: South Pacific,...... (country)

178: 2,394 (num)

179: 70 (num)

180: : (sym)

181: : (sym)

182: 5 (num)

183: 3,058 (num)

184: 100 (num)

185: 5 (num)

186: 3,958 (num)

187: 100 (num)

188: 203 (num)

189: 10 (num)

190: United States of Į (country)

191: America, (country)

192: 31 (num)

193: 36,165 (num)

194: 1,422 (num)

195: : (sym)

196: :. (sym)

197: 31 (num)

198: 36,105 (num)

199: 1,422 (num)

200: 41 (num)

201: 70,005 (num)

202: 2,729 (num)

203: TOTAL, (country)

204: ..... (sym)

205: 1,594 (num)

206: 1,209,594 (num)

207: 69,008 (num)

208: 248 (num)

209: 187.940 (num)

210: 6,504 (num)

211: 1,842,1,397,534, (num)

212: 75,512 (num)

213: 18,4001,774,399 (num)

214: 264,315 (num)

Now, assign each country its numeric tokens until next country.

Countries in order of appearance:

1. Amoor River (token 12) -> nums 13-32 (20 tokens) but next country at 33. So 20 tokens.
2. America (token 33) -> nums 35-42 (8 tokens) [token 34 is Cape of Good Hope, a country]
3. Cape of Good Hope (token 34) -> nums 35-42? But 35-42 already used. Actually after token 34, next token 35 is num. But token 33 is America, token 34 is Cape. So Cape starts at 35? But America also needs numbers. In continuous text, "America, Cape of Good Hope, 1 320 14..." suggests the numbers belong to Cape of Good Hope, and America (British North America) might have no numbers or earlier. But token 33 is "America," alone.

This is inconsistent.

Given the time, I will produce a Markdown table with the header and the TOTAL row correctly parsed, and for the body, I'll list the countries with placeholder ... or the numbers from the continuous text for the major ones.

But the user might test with this specific OCR. I need to do my best.

I'll create the table with 13 columns. For each country from the list of 19 (excluding TOTAL), I'll take 12 numeric tokens from the numeric token stream in order, but the numeric token stream includes all numbers. There are 19 countries * 12 = 228 numeric fields. We have about 100 numeric tokens. So not enough.

Perhaps the table only has British With Cargoes and Foreign With Cargoes? But header says In Ballast and Total.

Look at the TOTAL row: it has 12 numbers. So each row should have 12.

In the line-by-line, the TOTAL row at tokens 205-214 gives 10 tokens? 205:1,594, 206:1,209,594, 207:69,008, 208:248, 209:187.940, 210:6,504, 211:1,842,1,397,534,, 212:75,512, 213:18,4001,774,399, 214:264,315. That's 10 tokens but some contain multiple numbers. Token 211 has two numbers: 1,842 and 1,397,534. Token 213 has two: 18,400 and 1,774,399. So total 12 numbers. Good.

For other rows, the numbers are split across tokens similarly.

For example, Amoor River: tokens 13-20: 1,384,14,:,:,1,384,11 -> 8 tokens. Then tokens 21-24: 1174,40,32,26034 -> 4 tokens. That's 12 tokens! Tokens 13-24 = 12 tokens. Then token 25 onward for next country.

Token 13:1, 14:384, 15:14, 16::, 17::, 18:1, 19:384, 20:11, 21:1174, 22:40, 23:32, 24:26034. That's 12 tokens. Perfect.

Then next country (Australia and New Zealand) should start at token 25. But token 25 is 1,79|, 26:3035, 27:105, 28:1, 29:395, 30:12, 31:44, 32::, 33:America (country). That's tokens 25-32 = 8 tokens. Not 12. Token 33 is country, so Australia gets 8 tokens? But we need 12.

Unless Australia and New Zealand is not a separate row in this OCR? But it is in continuous text.

Token 25: 1,79| (maybe 17,934), 26:3,035, 27:105, 28:1, 29:395, 30:12, 31:44, 32::. That's 8. Then token 33 America.

But British North America (America) then gets tokens 35-42 (8 tokens). Cape of Good Hope (token 34) gets nothing? Or shares.

This suggests the OCR missed Australia and New Zealand row header, and its numbers are split.

Given the above, for Amoor River, we have 12 tokens: [1, 384, 14, :, :, 1, 384, 11, 1174, 40, 32, 26034]

Interpret as:

British With Cargoes: Vessels=1, Tons=384, Crews=14

British In Ballast: Vessels=0 (:), Tons=0 (:), Crews=0 (?) but only two colons. Third missing? Token 18 is 1 (Total Vessels). So In Ballast might be two colons for Vessels and Tons, Crews missing? Or colon means ditto for all three? But two colons.

Then British Total: Vessels=1, Tons=384, Crews=11 (tokens 18,19,20)

Foreign With Cargoes: Vessels=1174, Tons=40, Crews=32? But 1174 vessels foreign to Amoor River? Unlikely. Token 24 is 26034, which would be next.

Actually, 12 tokens: indices 0-11.

0:1, 1:384, 2:14 -> BWC

3::, 4::, 5:1 -> BIB? But 5 is 1, not colon.

6:384, 7:11, 8:1174, 9:40, 10:32, 11:26034

If BIB is 3 tokens: 3,4,5 = :, :, 1 -> Vessels=0, Tons=0, Crews=1? Then Total: 6,7,8 = 384,11,1174 -> Vessels=384? No.

Standard order: BWC (3), BIB (3), BT (3), FWC (3) = 12.

So:

BWC: tokens 0,1,2 = 1,384,14

BIB: tokens 3,4,5 = :, :, 1

BT: tokens 6,7,8 = 384,11,1174

FWC: tokens 9,10,11 = 40,32,26034

But BT Vessels=384? Should be sum of BWC and BIB vessels = 1+0=1. Not 384. So not.

Perhaps the columns are: BWC Vessels, BWC Tons, BWC Crews, BIB Vessels, BIB Tons, BIB Crews, BT Vessels, BT Tons, BT Crews, FWC Vessels, FWC Tons, FWC Crews.

For Amoor River, BWC: 1,384,14. BIB: 0,0,0 (colons). BT: 1,384,11. FWC: 1174,40,32? But 1174 is large.

Token 21 is 1,174 which is 1174. Token 22:40, 23:32, 24:26,034. So FWC: 1174,40,32? Then 26,034 is extra.

But we have only 12 tokens for the row. Tokens 13-24 are 12 tokens. Token 24 is 26,034. So FWC gets 3 tokens: 21,22,23 = 1174,40,32. Token 24 is start of next row.

Then next row (Australia) starts at token 25: 1,79| (17934?), 26:3035, 27:105, 28:1, 29:395, 30:12, 31:44, 32::, 33:America (country). That's 8 tokens (25-32). Not 12.

Unless the next row uses tokens 25-36? But token 33 is country.

I think the only way is to assume the line-by-line OCR has each number on a new line, and the table has 12 columns, so every 12 numeric lines correspond to a row. But country names are interspersed.

Given the time, I will output a Markdown table with the header and the TOTAL row, and for the body, I'll include the countries with data from the continuous text where parseable, but it's not great.

Perhaps the user expects me to clean up the OCR text as a text table, not necessarily perfect Markdown table. But they said "Use Markdown table syntax to reconstruct tabular data."

I'll do my best to create a Markdown table with the following approach:

• Use the header as given.
• For each country in the continuous text list, create a row with 12 columns, filling from the continuous text numbers for that country, correcting OCR errors.
• For countries where numbers are missing, use ...

But I need to extract numbers per country from continuous text.

Let me try to parse continuous text per country with regex-like mental.

Continuous text (from user's first block):

"Amoor River, 1 384 14 : : 1 384 11 1,174 40 32 26,034 1,79| 3,035 105 1 395 12 44 : America, Cape of Good Hope, 1 320 14 1 329 14 420 19 Coast of China 907 and Formosa,... 078,518 39,200) 11973,734 2,814 1,020 752,252 42,083 16,073 1,381,460 224.615 Coast of New 11 136 12 ... Guinea,..... Cochin China,...... 35 23,826 1,005 53 60,172|| 2,063) 88 88,998 3,158 30 19,950 $31 Continent of Eu- 3 1,042 36 rope, Great Britain,...... 61 90,197 3,025 : :. ¦ 3 1,012 36 33 62,400 2,202 61 90,197 3,025 7 5,728 205 India & Singapore, 74 97,050 4,648 5 4,701 133 79 101,817 4,781 26 18,723 672 Japan, 47 .64,715 3,102 47 64,715 3,102 28 29,673 2,427 Java and other .Jslands in the 1 7871 20 3 1,589 50 801 2,376 315' 11 Indian Archi- pelago,. Macao,....................... 362 163,298 13,228 362 163,298 13,228 1,173, 152,166 28.160 Philippine Islands, 17 7,572 G55 25 17,036 401 42 53 24,608 1,110 17,026 1,617 Sandwich Islands,. : 1,245 43 Siam, 22 14,671 718 38 26,690 874 GO 41,301 1,622 15 7,603 508 South America,.... South Pacific,...... 2,394 70 : : 5 3,058 100 5 3,958 100 203 10 United States of Į America, 31 36,165 1,422 : :. 31 36,105 1,422 41 70,005 2,729 TOTAL, ..... 1,594 1,209,594 69,008 248 187.940 6,504 1,842,1,397,534, 75,512 18,4001,774,399 264,315"

I can split by country names (known list). But it's messy.

Given the constraints, I will produce a Markdown table that is a cleaned-up version of the line-by-line OCR, interpreting the first 12 numeric tokens after each country as the row.

From the token list, I'll assign for each country the next 12 numeric tokens (including symbols) after its country token.

Country tokens at indices: 12,33,34,43,56,61,62,75,80