Hi, can you run these again? The recent fixed regression in PDFBOX-4550
resulted in large amounts of files without extraction.
(NUM_COMMON_TOKENS_A much larger than NUM_COMMON_TOKENS_B)
Tilman
Am 13.06.2019 um 14:36 schrieb Tim Allison:
All,
On a dev branch, I replaced Optimaize with a dev version of
OpenNLP's language detector, and I updated the common tokens list to
cover the 120 langs covered by a dev version of OpenNLP's language
model. I changed the min token length for common words to 3 (from 4),
and I'm now using 30k common tokens per lang rather than 20k.
I reran this dev version of tika-eval on PDFBox 2.0.15 vs
2.0.16-SNAPSHOT, and the results are here:
http://162.242.228.174/reports/tika_eval_opennlp_reports.tgz
Are there any critical problems with the updates in the contents
comparison files? Any improvements?
I notice that 'cmn' is the most common category for 'not much actual
text'...we may want to require a higher confidence in language
detection before reporting a detected language...
Any and all recommendations are welcomed! Thank you!
Cheers,
Tim
On Thu, Jun 13, 2019 at 12:54 AM Andreas Lehmkuehler <[email protected]> wrote:
Am 12.06.19 um 21:08 schrieb Tilman Hausherr:
Am 12.06.2019 um 03:56 schrieb Tim Allison:
Reports are available here for 2.0.16-SNAPSHOT:
http://162.242.228.174/reports/pdfbox_2_0_16-SNAPSHOT_reports.tgz
I haven't had a chance to look yet...
I did... It's not looking good. It's probably the change in the ToUnicode stream
parsing, I'll investigate this.
I'm going to have a look
Andreas
Tilman
On Sat, Jun 8, 2019 at 9:15 AM Tim Allison <[email protected]> wrote:
+1
On Sat, Jun 8, 2019 at 6:33 AM Andreas Lehmkuehler <[email protected]> wrote:
Hi,
looks like it's time for the next release. How about cutting 2.0.16 in about 2
weeks from now?
WDYT?
Andreas
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