Index of Custom Dictionaries for Kobo eReader

[Kris6]

Hello,

Does anyone have a current Spanish - French dictionary for Kobo Glo?

Thanks in advance.

[Semwize]

Originally Posted by Kris6

Spanish - French dictionary

Español - Français
Created by: David Elvira
Traducción directa del español al francés, frases, verbos... en masculino, femenino, plural y singular. Traduction directe de l'espagnol au français, phrases, verbes... au masculin, féminin, pluriel et singulier.

Originally Posted by Kris6

current

Or have I misunderstood you and Kobo has its own dictionary? What do you mean by "current"?

[Kris6]

Thank you very much, this is exactly what I was looking for.
I am infinitely grateful to you

[Alyona S]

Hello!
Does anybody have Greek - English and just Greek dictionary?

In the list i found English-Greek, but I need opposite to translate from Greek to English!

Thank you in advance!

[Semwize]

Originally Posted by Alyona S

Greek - English

wordcount = 53k

Originally Posted by Alyona S

and just Greek dictionary?

• Πολυλεξικό / Explanatory Dictionary of the Modern Greek Language. Wordcount: 102368
• Mείζoν Eλληνικό Λεξικό / Comprehensive Greek Explanatory Dictionary. Wordcount: 68568
• ΠΑΠΥΡΟΣ. Mέγα Λεξικό της Ελληνικής γλώσσας / The Great Dictionary of the Greek Language. Wordcount: 203327/202175

I have no idea which one is better, choose for yourself, and I will download and compile this dictionary for you. It's lazy for me to do three dictionaries, especially not knowing exactly what you need.

[Kris6]

Please, does anyone have the it / fr dictionary?

[Semwize]

Originally Posted by Kris6

Please, does anyone have the it / fr dictionary?

Headwords/entries: 35080/35080

Are you a polyglot?

[Semwize]

Spanish-French Dictionary
Headwords/entries: 44500/44281

[genoasalami]

is there a maximum file size for adding dictionaries? It looks like on the latest FW just dropping a stardict file is enough. However, my OED stardict file is over 200 megs and when I add it even though it shows up in the list there are never any results

Edit:


I fixed this by recreating dicthtml.zip using Penelope. However, Penelope will not install under windows because it requires the marisa-trie dependency which for some reason won't install either. Welcome to Python. Ultimately, I used my *nix system to get Penelope working, and as I think about this, that's what I had to do last time as well. If you're able to get python working under Windows, more power to you, but this was a mess and using *nix was faster for me, although that doesn't really help people who aren't tech savvy enough to have such a system handy.

The large file size doesn't seem to be a problem, but it does cause the Forma to chug for half a tick when you go to define a word. Not that big of a deal in my opinion, but it's worth noting.

Re the dictionary itself: the latest OED edition is the second. The third is underway according to the wiki; so, when you see a 1989 publication date, don't freak out. If you're here because you're looking for the OED, something something copyright and try google-fu.

Instructions:

1. get Penelope
2. get stardict file
3. depending upon where you happen across your stardict file, you will need to put it into a regular zip; so extract it and then zip it (literally .zip, not .7z or .tar etc); Penelope is expecting a .zip
3.

penelope -i oed1filename,oed2filename -j stardict -o oed.zip -p kobo -f en -t en

this: runs penelope, feeds it your two-part OED files, tells them to expect stardict format, tells it to output oed.zip (which penelope ignores; it will output dicthtml.zip), tells it to output in kobo format, and tells it that the to and from languages are both english
4. rename dicthtml.zip to dicthtml-oed.zip
this is desirable because without renaming the file the current Kobo FW will not remember that you've selected a different dictionary causing you to keep getting the default when you highlight a word. By renaming the file, it will persist for each lookup
5. make sure you're on the current firmware
6. connect your Kobo to your PC
7. drag dicthtml-oed.zip onto your kobo, placing it in .kobo\custom-dict
8. eject and unplug your kobo
9. go lookup a word
10. click the english dropdown and then select dicthtml-oed
11. Enjoy.

[Alyona S]

[*]ΠΑΠΥΡΟΣ. Mέγα Λεξικό της Ελληνικής γλώσσας / The Great Dictionary of the Greek Language. Wordcount: 203327/202175

This one 👆 (the third of your listl would be great!
Thank you very much!!🙏

[Semwize]

Originally Posted by Alyona S

This one 👆

Πάπυρος: Mέγα Λεξικό της Ελληνικής γλώσσας (El-El)
*
Πλήρες λεξικό της Ελληνικής γλώσσας, Αρχαίας, Μεσαιωνικής και Νέας,
ΕΡΜΗΝΕΥΤΙΚΟ – ΕΤΥΜΟΛΟΓΙΚΟ – ΣΥΝΩΝΥΜΩΝ – ΠΑΡΑΓΩΓΩΝ – ΣΥΝΘΕΤΩΝ
Το πληρέστερο ελληνικό λεξικό, με 204.766 λήμματα
*
— Θησαυρός όλων των φάσεων εξέλιξης της ελληνικής γλώσσας, αρχαίας, μεσαιωνικής και νέας.
— Πάνω από 204.000 λήμματα, με εξαντλητική ετυμολογική ανάλυση

try

dicthtml-el.zip:
Your file of 22.58 MB bytes exceeds the forum's limit of 20.00 MB for this filetype.

Download

[Teom@n]

Dear friends,

A few days ago I bought a kobo libra h20(I was far away from the form for along time) and I need a good french dictionary so I made a decision to make my own dictionary. Now I am trying to make a french dictionary with verb conjugasion (I am using ODS8 around 425.000 entries). I created an excel file for this (15mb).
Which way is the best way could be for me when I create a kobo dict? I will be happy if you could me help for this project, thanks.

[Semwize]

@Teom@n

https://github.com/ilius/pyglossary

excel ⇒ xml ⇒ dicthtml

Can first create .df dictfile, view and, if necessary, correct it ...

[Teom@n]

Originally Posted by Semwize

@Teom@n

https://github.com/ilius/pyglossary

excel ⇒ xml ⇒ dicthtml

Can first create .df dictfile, view and, if necessary, correct it ...

Thanks for the answer, I will be try these steps as soon as possible.

[boca-kun]

New Romanian dictionary for Kobo devices.
Dictionary source: dexonline.ro, containing all the following dictionaries, merged in one:

• DEX 2009

• MDN 2000 + 2008

• DLRLC 1955-1957

• Șăineanu 1929

Wordcount: 918765

Download link, since it exceeds the 20.00MB limit set for file attachments.


The creation was made using this and then this self-made programs (on Windows), along with StarDict-editor and penelope on Ubuntu. To use them personally, you can download the .exe files from the Debug folder of each program. Please read the README.txt files for each of them.


Disclaimer:
It only works with books that contain the ş (unicode: 015F) & ţ (unicode: 0163) pair, not the ș (unicode: 0219) & ț (unicode: 021B).
Therefore, it should be used in conjunction with the following keyboard upgrade (in the libnickel.so.1.0.0.yaml, updated with kobopatch):

Spoiler:

Romanian Phonetic Keyboard (GloHD/ClaraHD/AuraOne/H2O2/Forma/Libra):
  - Enabled: yes
  - PatchGroup: Keyboard alternatives
  - Description: |
      Replaces keys on the Extended Latin keypad with Romanian alternatives.

      Note that after the device boots, the keypad might just show blank squares
      until after the first book has been opened.
      Also note that long-pressing keys on the base keypad will no longer show
      the appropriate list of Extended Latin keys.
  # Replace layout sign
  - FindBaseAddressString: "ÉÀÇ"
  - ReplaceString: {Offset: 0, Find: "ÉÀÇ", Replace: "ŞȚÂ"}
  # Change keyboard layout
  - FindBaseAddressString: "ý\0\0ÿ\0\0š\0\0ž\0\0"
  # Top row, left to right (10 keys):
  - ReplaceString: {Offset: 0x00, Find: "ý\0", Replace: "ă"}
  - ReplaceString: {Offset: 0x04, Find: "ÿ\0", Replace: "â"}
  - ReplaceString: {Offset: 0x08, Find: "š\0", Replace: "ş"}
  - ReplaceString: {Offset: 0x0C, Find: "ž\0", Replace: "ţ"}
  - ReplaceString: {Offset: 0x10, Find: "æ\0", Replace: "<"}
  - ReplaceString: {Offset: 0x14, Find: "œ\0", Replace: ">"}
  - ReplaceString: {Offset: 0x18, Find: "þ\0", Replace: "?"}
  - ReplaceString: {Offset: -56, Find: "ß\0", Replace: ","}
  - ReplaceString: {Offset: 0x1C, Find: "ij\0", Replace: "."}
  - ReplaceString: {Offset: 0x20, Find: "ŀ\0", Replace: "/"}
    # Second row, left to right (10 keys):
  - ReplaceString: {Offset: 0x28, Find: "à\0", Replace: "q"}
  - ReplaceString: {Offset: 0x2C, Find: "á\0", Replace: "w"}
  - ReplaceString: {Offset: 0x30, Find: "â\0", Replace: "e"}
  - ReplaceString: {Offset: 0x34, Find: "ä\0", Replace: "r"}
  - ReplaceString: {Offset: 0x38, Find: "ã\0", Replace: "t"}
  - ReplaceString: {Offset: 0x3C, Find: "å\0", Replace: "y"}
  - ReplaceString: {Offset: 0x40, Find: "è\0", Replace: "u"}
  - ReplaceString: {Offset: 0x44, Find: "é\0", Replace: "i"}
  - ReplaceString: {Offset: 0x48, Find: "ê\0", Replace: "o"}
  - ReplaceString: {Offset: 0x4C, Find: "ë\0", Replace: "p"}
    # Third row, left to right (10 keys):
  - ReplaceString: {Offset: 0x50, Find: "ò\0", Replace: "a"}
  - ReplaceString: {Offset: 0x54, Find: "ó\0", Replace: "s"}
  - ReplaceString: {Offset: 0x58, Find: "ô\0", Replace: "d"}
  - ReplaceString: {Offset: 0x5C, Find: "ö\0", Replace: "f"}
  - ReplaceString: {Offset: 0x60, Find: "õ\0", Replace: "g"}
  - ReplaceString: {Offset: 0x64, Find: "ø\0", Replace: "h"}
  - ReplaceString: {Offset: 0x68, Find: "ì\0", Replace: "j"}
  - ReplaceString: {Offset: 0x6C, Find: "í\0", Replace: "k"}
  - ReplaceString: {Offset: 0x70, Find: "î\0", Replace: "l"}
  - ReplaceString: {Offset: 0x74, Find: "ï\0", Replace: ";"}
    # Fourth row, left to right (8 keys):
  - ReplaceString: {Offset: 0x78, Find: "ù\0", Replace: "î"}
  - ReplaceString: {Offset: 0x7C, Find: "ú\0", Replace: "z"}
  - ReplaceString: {Offset: 0x80, Find: "û\0", Replace: "x"}
  - ReplaceString: {Offset: 0x84, Find: "ü\0", Replace: "c"}
  - ReplaceString: {Offset: 0x88, Find: "ñ\0", Replace: "v"}
  - ReplaceString: {Offset: 0x8C, Find: "ç\0", Replace: "b"}
  - ReplaceString: {Offset: 0x90, Find: "đ\0", Replace: "n"}
  - ReplaceString: {Offset: 0x94, Find: "ł\0", Replace: "m"}