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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