Ryzom

h1. *Localization system in Ryzom*

> TODO: improve formatting, original document is https://docs.google.com/Doc?docid=0ATbRb4Xh6srtZGhrbjluOHRfMThmemNjcDZkZw&authkey=CKTG4-QM

h2. Overview

There are mainly two distinct parts in localization for Ryzom. The first part (and the easiest) concerns the static localization on the client side (eg interface names, error messages). The second part is for dynamically generated text from servers.

!dhkn9n8t_19f5n89nf3_b.gif!

As you can see in the diagram, there are four kind of file that makes the localization system to work. Each of this file must come in each localized language. In bold, you can see that each file contains the language code in its name.

File formats are discussed below.

h2. Language code

Language in Ryzom are identified by there language code as defined in "ISO 639-1":http://en.wikipedia.org/wiki/List_of_ISO_639-1_codes plus a country code defined in "ISO 3166":http://en.wikipedia.org/wiki/ISO_3166 *if necessary*.

ISO 639-1 is a two character language code (e.g. ‘en’, ‘fr’). This is enough for most of the language we want to support.

But there is some exception, like Chinese written language.

Chinese can be written in two forms: traditional or simplified. Nonetheless, there is only one language code for Chinese: ‘hz’.

So, we must append a country code to indicate witch form of written Chinese we discuss. The language code for simplified Chinese become ‘hz-CN’ (i.e. Chinese language, Chinese country), and for traditional Chinese, it is ‘hz’ only because all other Chinese speaking country (Taiwan, Hong Kong, ? ) use the traditional Chinese.

h2. Identifier definition

Translated strings are associated to identifier. Identifiers are textual string that must follow the C identifier constraint with a little difference.

A C identifier must consist only of the following caracteres: ‘A-Z’, ‘a-z’, ‘0-9’, ‘@‘ and ‘_’. Real C identifier can’t start with a number, string identifier can.

Some good identifier:

<pre>

This_is_a_good_identifier

ThisIsAGoodIdentifier

_This@is@notherGoodId

1234_is_a_goodId

This_Is_Good_1234

</pre>

Some bad identifier:

<pre>

This is a bad identifier

é#()|{[_IdBAD

</pre>

h2. File formats

There are three different translation file formats. But only two need to be learned ;-)

h3. Format 1

This format is used for client side static text and for server side clause text.

The file is a list of identifiant to string association (also called value string). Identifiant must conform to C identifier constraint and value string is delimited by ‘[‘ and ‘]’.

Text layout is free; you can jump line and indent as you want.

<pre>

identifiant1	[textual value]

identifiant2	[other textual value]

</pre>

- This file can contain C style comments (single line or multiline)

<pre>

// This is a single line comment. Continue until end of line*

identifiant1 [textual value]

/* This is

   a multiline

   comment */

identifiant2 /* multiline comment here ! */ [other textual value]

</pre>

- Textual value can be formatted for readability. New line and tab are removed in the final string value.

<pre>

identifiant1 [textual

value

with

new line

and tab formating only for readability]

identifiant2 [other textual value]

</pre>

- If you need to specify new lines or tabulations in the value string, you must use C style escape sequence ‘\t’ for tab and ‘\n’ for new line. To write a ‘\’ in the string value, double the backslash: ‘\\’. To write a ‘]’ int the string, escape it with a backslash: ‘\]’.

<pre>

identifiant1 [tabulation: *\t*This text is tabbed]

identifiant2 [New line *\n*Text on next line]

identifiant3 [Backslash: *\\*]

identifiant4 [a closing square bracket: *\]* ]

</pre>

- You can split the original file in multiple small file, more easy to maintain and work with.

This feature is achieved by using a C like preprocessor command “#include”.

<pre>

#include "path/filename.txt"

</pre>

You can have any number of include command. Included files can also contains include commands.

The path can be either an absolute path or a path relative to the location of the master file.

h3. Format 2

This format is used for phrases translation files.

This format is a pretty complex grammar that will be described in a near LALR syntax:

<pre>

identifiant :		[A-Za-z0-9_@]+

phrase	:		identifiant ‘(‘ parameterList ‘)’

				‘{‘

					clauseList

				‘}’

parameterList :	parameterList ‘,’ parameterDesc

			|	parameterDesc

parameterDesc :	parameterType parameterName

parameterName :	identifiant

parameterType :	‘item’

			|	‘place’

			|	‘creature’

			|	‘skill’

			|	‘role’

			|	‘ecosystem’

			|	‘race’

			|	‘brick’

			|	‘tribe’

			|	‘guild’

			|	‘player’

			|	‘int’

			|	‘bot’

			|	‘time’

			|	‘money’

			|	‘compass’

			|	‘dyn_string_id’

			|	‘string_id’

			|	‘self’

			|	‘creature_model’

			|	‘entity’

			|	‘bot_name’

			|	‘bodypart’

			|	‘score’

			|	‘sphrase’

			|	‘characteristic’

			|	‘damage_type’

			|	‘literal’

clauseList :		clauseList clause

			|	clause

clause :		conditionList identifiant textValue

			|	identifiant textValue

			|	conditionList identifiant

			|	identifiant

			|	textValue

conditionList :	conditionList condition

			|	condition

condition :		‘(‘ testList ‘)’

testList :		testList ‘&’ test

			|	test

test :			operand1 operator reference

operand1 :		parameterName

			|	parameterName’.’propertyName

propertyName :	identifiant

operator :		‘=’

			|	‘!=’

			|	‘<’

			|	‘<=’

			|	‘>’

			|	‘<=’

reference :		identifiant

textValue :		‘[‘ .* ‘]’

</pre>

As in format 1, you can include C style comment in the text and indent freely and use the include command.

h3. Format 3: Spreadsheet unicode export

This format is the result of a Unicode text export from Spreadsheet.

Encoding should be unicode 16 bits. Columns are tab separated and rows are new line separated.

You should not write this file by hand, but only edit it with Spreadsheet.

The first row must contain the columns names.

*Info columns*

If a column name start with a ‘*’, then all the column is ignored.

This is useful to add information column that can help translation.

*Delete character*

It is possible to insert a ‘delete’ command in the field: ‘\d’. This is useful for article translation.

Example: you have a string with the following replacement (in French):

<pre>

“Rapporte moi $item.da$ $item.name$”

</pre>

And the item words file contains the following:

<pre>

item		name		da

marteau	marteau	le

echelle	échelle	l’

</pre>

If the item is ‘marteau’, no problem, the replacement gives:

<pre>

“Rapporte moi le marteau”

</pre>

But for the ‘echelle’, there is a supplementary space in the result:

<pre>

“Rapporte moi l’ échelle”

</pre>

To remove this supplementary space, you can add a ‘delete’ marker in the article definition:

<pre>

item		name		da

marteau	marteau	le

echelle	échelle	l’\d

</pre>

This will give a correct resulting string:

<pre>

“Rapporte moi l’échelle”

</pre>

h2. Working with translation files, translator point of view

h3. Client side “*.uxt” files

This file contains all static text available directly to the client. The text must conforms to format 1 described above.

There is an additional constraint: you MUST provide as a first entry the language name, as spelled in the language (eg ‘English’ for English, ‘Français’ for French).

For example, the file en.uxt must begin with:

languageName [English]

h3. Server side files

Server side translation is a bit more complex.

We will learn how to write server side translation in four steps (guess what: from simple to complex problem!).

*Step 1: A simple string:*

For this, you only need the phrase file.

Let’s say we want a string saying “hello world!” identified by HelloWorld.

Create a phrase entry in phrase_en.txt:

HelloWorld ()

{

[Hello world!]

}

That’s it! No more.

Of course, you must also provide the same phrase in all the supported language, for example, in phrase_fr.txt:

HelloWorld ()

{

[Bonjour le monde!]

}

Note that only the text value has changed. The phrase identifier MUST remain the same in all the translations files.

*Step 2: Indirection to clause_<lang>.txt*

In step 4, we will see that the phrase file will become very complex. Thus, this file is not well fitted for giving it to a professional translator with no skill in complex grammar file. More, the complexity of the file can hide the work to do for translation.

So, you can split phrase grammar in phrase file and text value in clause file.

To do this, you must assign a unique identifier to each text value.

Let’s rebuild the previous example with indirection.

In phrase_en.txt, create the phrase entry like this:

HelloWorld ()

{

Hello

}

We just have put an identifier in the phrase block. This means that the phrase refers to a string identified as “Hello” in the clause file.

Now, we can create the text value in clause_en.txt:

Hello [Hello world!]

As in the first step, you must do this task for each language.

TIPS: in order to facilitate translation work, it is possible to specify the string identifier AND the string value. This can be helpful for automatic building of translation file from the original one.

Example:

HelloWorld ()

{

Hello [Bonjour le monde!]

}

In such case, the translation system always look first in the clause file and fallback to string value in the phrase file only if the string is not found in the clause file.

The other advantage is that the person who wrote the phrase file can give a simplistic version of the string that a professional translator will improve.

*Step 3: Using parameters - basics *

Here we are entering in the complex stuff!

Each phrase can receive a list of parameter.

Those parameters can be of different types:

* item,

* place,

* creature,

* skill,

* ecosystem,

* race,

* brick,

* tribe,

* guild,

* player,

* int,

* bot,

* time,

* money,

* compass,

* dyn_string_id,

* string_id,

* creature_model,

* entity,

* body_part,

* score,

* sphrase,

* characteristic,

* damage_type,

* bot_name,

* literal.

Each parameter is given a name (or identifier) when declared. We will call it paramName.

Each type of parameter CAN be associated with a ‘word’ file. This file is an excel sheet (in unicode text export form) that contain translations for the parameter: its name, undefined or defined article (e.g. ‘a’, ‘the’, etc), plural name and article and any useful property or grammar element needed for translation.

The first column is very important because it associate a row of data with a particular parameter value.

Let’s begin with an example: we want to build a dynamic phrase with a variable creature race name.

First, we must build an excel sheet to define the words for creature type. This will be saved as race_words_<lang>.txt in unicode text export from excel. As always, you must provide a version of this file for each language.

NB: The first column MUST always be the association field and you should have a ‘name’ column as it’s the default replacement for parameter. Any other column is optional and can vary from language to language to accommodate any specific grammar constraint.

This is an example race_words_en.txt:

race name ia da p pia pda

kitifly Kitifly a the Kitiflys the

varynx Varynx a the Varynx the

etc…

As stated in the note above, the first column give the race identifier as defined in the game dev sheets. The second column is the ‘highly advisable’ column for the name of the race. The ‘p’ column if the plural name. ‘ia’, ‘da’ stand for indefined article and defined article.

Next, we must create a phrase with a creature parameter in phrase_<lang>.txt:

KILL_A_CREATURE (*race crea*)

{}

As you can see, after the phrase identifier KILL_THIS_CREATURE we have the parameter list between the braket. We declare a parameter of type race named crea. Note that you choose freely your parameter name but each parameter must have a unique name (at least for one phrase).

Now, we can build the string value. To insert parameter into the string, we must specify replacement point by using the ‘$’ sign (eg $crea$) directly into the string value:

KILL_A_CREATURE (race crea)

{

[Would you please kill a *$crea$* for me ?]

}

As you can see, it’s not too complex. $crea$ will be replaced with the content of the field from the words file in the ‘name’ column and at the row corresponding to the race identifier.

? It is possible to recall any of the words file columns in the value string. We can for example dynamize the undefined article:

KILL_A_CREATURE (race crea)

{

[Would you please kill *$crea.ia$* *$crea$* for me ?]

}

? Some parameter type have special replacement rules: int are replaced with their text representation, time are converted to ryzom time readable format, as well as money.

Last but not least, the identifier and indirection rules see in step 1 and 2 are still valid.

*Step 4: Using parameters: conditional clause*

It’s time now to unveil the conditional clause system.

Let’s say that the identifier and string value we put in a phrase in the previous step is a clause. And let’s say that a phrase can contains more than one clause that can be chosen by the translation engine on the fly depending on the parameter value. This is the conditional clause system.

Let’s start a first example. As in step 3, we want to kill creature, but this time, we add a variable number of creature to kill, from 0 to n.

What we need is conditions to select between three clause: no creature to kill, one creature to kill and more than one.

First, let’s write the phrase, its parameters and the three clauses:

KILL_A_CREATURE (race crea*, int count*)

{

// no creature to kill

[*There is no creature to kill today.*]

// 1 creature to kill

* [Would you please kill a $crea$ for me ?]*

// more than one

[Would you please kill *$count$* $crea$ for me ?]

}

We have written down three version of the text with very different meaning and gramatical structure.

Now, add the conditions. Conditions are placed before the identifier and/or string value and are marked with bracket.

KILL_A_CREATURE (race crea, int count)

{

// no creature to kill

*(count = 0) *[There is no creature to kill today.]

// 1 creature to kill

*(count = 1)* [Would you please kill a $crea$ for me ?]

// more than one

*(count > 1)* [Would you please kill $count$ $crea$ for me ?]

}

Easy! no?

Now, a more complex case: we want the phrase to speak differently to male or female player. This is the occasion to introduce the self parameter. Self parameter if a ‘hidden’ parameter that is always available and that represent the addressee of the phrase.

Self parameter support name and gender property. You can provide a self_words_<lang>.txt file to handle special case (admin player with a translatable name for example).

Let’s rewrite the killing creature request with player gender aware style:

KILL_A_CREATURE (race crea, int count)

{

// -- Male player

// no creature to kill, male player

(count = 0* & self.gender = Male*)

[Hi man, there is no creature to kill today .]

// 1 creature to kill, male player

(count = 1* & self.gender = Male*)

[Hi man, would you please kill a $crea$ for me ?]

// more than one, male player

(count > 1 *& self.gender = Male*)

[Hi man, Would you please kill $count$ $crea$ for me ?]

// -- Female player

// no creature to kill, male player

(count = 0 *& self.gender = Female*)

[Hi girl, There is no creature to kill today.]

// 1 creature to kill, male player

(count = 1 *& self.gender = Female*)

[Hi girl, Would you please kill a $crea$ for me ?]

// more than one, male player

(count > 1 *& self.gender = Female*)

[Hi girl, Would you please kill $count$ $crea$ for me ?]

}

We have six clauses now. Three case on number of creature multiplied by two cases on the gender of the player.

As you can see, conditional test can be combined with a ‘&’ character. This means that all the tests must be valid to select the clause.

You can use any parameter as left operand for the test. You can also specify a parameter property (coming from words file) as operand.

On the other hand, right test operand must be constant value (either textual or numerical value).

Available operators are =, !=, <, <=, >, >=.

In some case, you could need to make OR’ed test combination. This is possible by simply specifiying multiple condition list before a clause:

FOO_PHRASE (int c1, int c2)

{

*(c1 = 0 & c2 = 10)*

* (c1 = 10 & c2 = 0)*

[This clause is selected if :

c1 equal zero *and* c2 equal ten

*or*

c1 equal ten *and* c2 equal zero]

}

? Detailed clause selection rules:

* A valid clause is a clause where the conditional combination are true with a given set of parameter value.

* Clauses are evaluated in the same order as they are written in the phrase file. The first valid clause will be selected.

* If the first clause doesn’t have condition, it is used as a fallback clause when none of the conditional clauses are selected.

* If there is no fallback clause and none of the clauses are selected, then the first clause is selected.

* For the same phrase, each language can provide its own set of condition and clause to accommodate its gammatical needs.

h3. Harcoded parameters properties reference

Here you file find an exhaustive list of harcoded parameters properties.

These properties are always available even if no words files are provided.

Futhermore, the harcoded property can’t be substituted by a word file specifying a column of the same name.

*Parameter*

*Property*

Item

Place

Creature

name : model name of the creature

gender : gender of the creature from the model

Skill

Ecosystem

Race

Brick

Tribe

Guild

Player

name : name of the player

gender : gender of the player in the mirror

Bot

career : the career of the bot

role : the role of the bot as defined in creature.basics.chatProfile

name : name of the creature

gender : gender of the creature from the model

Integer

Time

Money

Compass

dyn_string_id

Only != and == test available. Mainly to compare parameter with 0.

string_id

Only != and == test available. Mainly to compare parameter with 0

self

name : name of the player

gender : gender of the player in the mirror

creature_model

NB : use the creature_words translation file !

entity

== 0, != 0: test if the entity is Unknown or not.

name : name of the creature or name of the player.

gender : gender of the creature from the model or gender of the player (from the player info).

bodypart

score

sphrase

characteristic

damage_type

bot_name

h2. Translation workflow

In the following translation workflow, we consider that the reference language is English.

There is a series of tools and bat file to help in getting translation in sync. Here is a step by step description of how to work on translation file, what tool to use and when.

Only addition to existing translation file is supported by the translation tools. If you need to modify or remove existing translation string or phrase structure, this must be done ‘by hand’ with a maximum of attention to all the languages versions.

In most case, it is better to create a new translation entry instead of dealing with a modification in all the translations files and it’s almost safe to leave old unused string in the files.

At least, you should NEVER make modification when there are pendings diff file.

*It is highly advisable to strictly respect the described workflow *in order to avoid translation problems, missing strings and other weird problems that can arise from working with many language version of a set of file.

Translation work is done in cooperation between the publisher who is doing the ‘technical’ part of the task and a profesionnal translator contractor who only translate simple string into a very high quality and rich string with respect to the context.

The tools that generate diff file for translation keep the comments from the reference version. This can be helpful to give additionnal information to the translator about the context of the text.

Moreover, for phrase files, the diff file automaticaly include comments that describe the parameter list.

h3. Translation repository structure

All files to translate are stored in a well defined directory structure called ‘the translation repository’. All translation work is done in this repository.

Tools are provided to install the translated file in the client and server repository after a translation cycle is done.

translation/ Root directory for translation repository

languages.txt A simple text file that contains all the language code (ISO 639-2) that we are working on (eg : en, fr, etc…).

work/ This is the starting point for addition of new content. This directory contains any files that can be edited for addition.

diff/ Contains all diff files generated by tools. This is where most of the work is done. After the merge operation is applied to integrate translated diff into translated file, the diff file are moved to the history directory.

When diff files are generated, they are prefixed with a version number automaticaly computed from the current Unix time. This permits to generate new diff file without waiting for diff translation to be done. More, when you generate new diff file with existing none merged diff, new diff only contains the new difference (is it clear or what? ? ).

history/ Contains all the diff files that have been translated and merged. This is for backup and security reason.

translated/ Contains all translated file. The content of this directory is installed into client and server repository when translation cycle is done. You should never change anything by hand in this directory unless you now exactly what you are doing.

h3. Client side static string

*Initial task:*

Publisher

* Creates the reference file en.uxt in the work directory, fill in the required first string ‘LanguageName’ then add any number of string for the English version.

* Generates static string diff files with the command make_string_diff.bat. This will create diff files for each language in the diff directory.

* Send the diff files to the Translator.

Translator

* Translate the diff files.

* Send them back to the Publisher.

Publisher

* Put the translated diff files in the diff directory (this will overwrite non translated diff files with translated one).

* Merge the translated diff files with the command merge_string_diff.bat. This will create the <lang>.uxt files for each language in the translated directory and move the diff in the history directory.

After the initial task is done, the workflow enters the in incremental mode.

*Incremental task:*

Publisher

* Add string in the reference file en.uxt in the addtion directory.

* Generates static string diff files with the command make_string_diff.bat. This will create diff files for each language in the diff directory.

* Send the diff files to the Translator.

Translator

* Translate the diff files.

* Send them back to the Publisher.

Publisher

* Put the translated diff files in the diff directory (this will overwrite non translated diff files with translated one).

* Merge the translated diff files with the command merge_string_diff.bat. This will apply the diff files to the <lang>.uxt files for each language in the translated directory and move the diff in the history directory.

h3. Server side dynamic string

*Initial task:*

Publisher

* Creates the reference file phrase_en.uxt in the addition directory and add any number of phrase entries for the English version.

* Generates phrase diff files with the command make_phrase_diff.bat. This will create diff files for each language in the diff directory.

* Translate the phrase diff file. This implie good knowledge of gramatical structure of each language to accommodate clause selection rules.

* Merge the translated diff with the command merge_phrase_diff.bat. This will create all the phrase_<lang>.txt in the translated directory from the translated diff then move diff files to history directory.

* Generates clauses diff file with the command make_clause_diff.bat. This create clause diff file in the diff directory for all language.

* Send the clause diff files to the Translator

Translator

* Translate the clause diff files.

* Send them back to the Publisher.

Publisher

* Put the translated clause diff files in the diff directory (this will overwrite non translated clause diff files with translated one).

* Merge the translated clause diff files with the command merge_clause_diff.bat. This will create the clause_<lang>.txt files for each language in the translated directory and move the diff in the history directory.

After the initial task is done, the workflow enters the in incremental mode.

*Incremental task:*

Publisher

* Add new phrase in phrase_en.uxt in the addition directory.

* Generates phrase diff files with the command make_phrase_diff.bat. This will create diff files for each language in the diff directory.

* Translate the phrase diff file. This implie good knowledge of gramatical structure of each language to accommodate clause selection rules.

* Merge the translated diff with the command merge_phrase_diff.bat. This will append the diff to there repective phrase_<lang>.txt file in the translated directory then move diff files to history directory.

* Generates clauses diff file with the command make_clause_diff.bat. This create clause diff file in the diff directory.

* Send the clause diff files to the Translator

Translator

* Translate the clause diff files.

* Send them back to the Publisher.

Publisher

* Put the translated clause diff files in the diff directory (this will overwrite non translated clause diff files with translated one).

* Merge the translated clause diff files with the comment merge_clause_diff.bat. This will append the diff file to there repective clause_<lang>.txt files for each language in the translated directory and move the diff in the history directory.

h3. Server side words files

NB: ‘words’ has nothing to do with the microsoft program Word!

Words files are always updated by hands because they are rarely updated by the publisher (and generaly, this will be for big update). Moreover, when new phrase are translated, it can be necessary to create and fill new column in one of the words file to accommodate the translation.

So, there is only a workflow but no tools.

*Initial task:*

Publisher

* Build the initial sheet for each type of parameter with all the possible identifier in the reference language in the translated directory.

* Create and fill the default ‘name’ and ‘p’ columns.

* Create the sheets for all languages by copying the reference language sheets.

* Create and fill any basic column depending on languages.

* Sends all the sheets to the Translator.

Translator

* Translate all the sheets in all language, eventualy, create any needed columns.

* Send back the translated sheets to the Publisher.

* Keep a copy of the translated sheets as reference for phrase and clause translation.

Publisher

* Put the translated sheets in the translated directory, overwriting old ones.

After this initial task, there is two possible events:

*New column(s) needed:*

Translator

* While translating phrase or clause diff, it comes that one or more new columns are needed for some language and parameter type.

* Define the needed columns

* Contact Publisher to check that no sheets updates are pending. If yes, first apply the ‘new sheets content’ workflow.

* Add and fill the new columns into the concerned sheets/langs.

* Send the sheets to the Publisher.

Publisher

* Put the new sheets in the translated directory, overwriting old ones.

 *New sheets content:*

Publisher:

* New game content is to be integrated in the game.

* Contact Translator to check that no sheets updates are pending. If yes, first apply the ‘new column(s) needed’ workflow.

* Create new sheets for the reference language and containing only the new content.

* Add and fill the default columns in the new sheets (see ‘Initial task’).

* Create new sheets for all the languages by copying the reference languages sheets.

* Add but DON’T FILL all the columns to repect the current sheet format for each type, each language.

* Send the new sheets to the Translator.