Himyarit musnad xsa sarb

[RiyadhAlfareh]

No description provided.

[keyman-server]

This pull request is from an external repo and will not automatically be built. The build must still be passed before it can be merged. Ask one of the team members to make a manual build of this PR.

[DavidLRowe]

Thanks for working on a lexical model for this language and script.

Unfortunately, some of the needed files are missing, and the files are not organised according to the needs of Keyman's automated build system.

If you use Keyman Developer's New Project feature (Project menu, New Project menu item, "Wordlist Lexical Model"), the program will do the work of putting the files in the correct folders. You'll need to supply the three parts of the project name: author, BCP 47 code ("xsa") and model name. Suppose these are "himyarit_musnad", "xsa" and "wordlist". Then the model name would be "himyarit_musnad.xsa.wordlist" and that would be the name of the folder and the base name of many of the files. In addition, the project folder would be under a folder with just the author name, and that folder would be under the "release" (or "experimental") folder. So, with the example above you'd have: release/himyarit_musnad/himyarit_musnad.xsa.wordlist as the project folder.
In that folder you would have the following files:

HISTORY.md
LICENSE.md
README.md
himyarit_musnad.xsa.wordlist.kpj
himyarit_musnad.xsa.wordlist.model_info

along with a folder called source. In the source folder you would have:

himyarit_musnad.xsa.wordlist.kps
himyarit_musnad.xsa.wordlist.ts
readme.htm
welcome.htm
wordlist.tsv

where the himyarit_musnad.xsa.wordlist.ts file references the wordlist.tsv file.

In that wordlist.tsv file, you'll want to have each word in the wordlist on its own line. There's an option to include a tab and a numeric count after each word. That count will instruct the model as to the relative frequency of the words, so that Keyman will try to propose the most frequent words first. (If you omit the count, all the words will have priority.)

If you need more information, please write again.

[DavidLRowe]

You will likely find it easier to close this pull request and start another one (rather than try to fix this one up).

[RiyadhAlfareh]

Ok thanks

[RiyadhAlfareh]

Dear David I followed your advice to build lexical himyarit Musnad xsa wordlist but its look same wrongs please your support? Iam new with GitHub maybe i lost some steps في الثلاثاء، 7 مارس 2023 4:10 ص DavidLRowe ***@***.***> كتب:

…

Thanks for working on a lexical model for this language and script. Unfortunately, some of the needed files are missing, and the files are not organised according to the needs of Keyman's automated build system. If you use Keyman Developer's New Project feature (Project menu, New Project menu item, "Wordlist Lexical Model"), the program will do the work of putting the files in the correct folders. You'll need to supply the three parts of the project name: author, BCP 47 code ("xsa") and model name. Suppose these are "himyarit_musnad", "xsa" and "wordlist". Then the model name would be "himyarit_musnad.xsa.wordlist" and that would be the name of the folder and the base name of many of the files. In addition, the project folder would be under a folder with just the author name, and that folder would be under the "release" (or "experimental") folder. So, with the example above you'd have: release/himyarit_musnad/himyarit_musnad.xsa.wordlist as the project folder. In that folder you would have the following files: HISTORY.md LICENSE.md README.md himyarit_musnad.xsa.wordlist.kpj himyarit_musnad.xsa.wordlist.model_info along with a folder called source. In the source folder you would have: himyarit_musnad.xsa.wordlist.kps himyarit_musnad.xsa.wordlist.ts readme.htm welcome.htm wordlist.tsv where the himyarit_musnad.xsa.wordlist.ts file references the wordlist.tsv file. In that wordlist.tsv file, you'll want to have each word in the wordlist on its own line. There's an option to include a tab and a numeric count after each word. That count will instruct the model as to the relative frequency of the words, so that Keyman will try to propose the most frequent words first. (If you omit the count, all the words will have priority.) If you need more information, please write again. — Reply to this email directly, view it on GitHub <#191 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/A2NFB2GTF4635D4VJVSGVDTW22DH5ANCNFSM6AAAAAAVRSN2EI> . You are receiving this because you authored the thread.Message ID: ***@***.***>

[RiyadhAlfareh]

Thanks for working on a lexical model for this language and script.

Unfortunately, some of the needed files are missing, and the files are not organised according to the needs of Keyman's automated build system.

If you use Keyman Developer's New Project feature (Project menu, New Project menu item, "Wordlist Lexical Model"), the program will do the work of putting the files in the correct folders. You'll need to supply the three parts of the project name: author, BCP 47 code ("xsa") and model name. Suppose these are "himyarit_musnad", "xsa" and "wordlist". Then the model name would be "himyarit_musnad.xsa.wordlist" and that would be the name of the folder and the base name of many of the files. In addition, the project folder would be under a folder with just the author name, and that folder would be under the "release" (or "experimental") folder. So, with the example above you'd have: release/himyarit_musnad/himyarit_musnad.xsa.wordlist as the project folder.
In that folder you would have the following files:

HISTORY.md
LICENSE.md
README.md
himyarit_musnad.xsa.wordlist.kpj
himyarit_musnad.xsa.wordlist.model_info

along with a folder called source. In the source folder you would have:

himyarit_musnad.xsa.wordlist.kps
himyarit_musnad.xsa.wordlist.ts
readme.htm
welcome.htm
wordlist.tsv

where the himyarit_musnad.xsa.wordlist.ts file references the wordlist.tsv file.

In that wordlist.tsv file, you'll want to have each word in the wordlist on its own line. There's an option to include a tab and a numeric count after each word. That count will instruct the model as to the relative frequency of the words, so that Keyman will try to propose the most frequent words first. (If you omit the count, all the words will have priority.)

If you need more information, please write again.

Dear David
I followed your advice and send new issue please see what the wrong with