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Goals and non-goals #77

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Goals and non-goals #77

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3be7b11
Document goals and non-goals
stasm Apr 16, 2020
544ffad
Goals and deliverables, rev2
stasm May 14, 2020
e332116
Remove _complex_, remove reference to CLDR
stasm May 15, 2020
8979970
Replace translations with localizable message strings
stasm May 15, 2020
725cc21
Make goal no. 5 broader wrt. TMS and CAT
stasm May 18, 2020
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Make goal no. 6 more explicit: implementations, frameworks, tools
stasm May 18, 2020
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Feedback from the May 18 meeting:
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Update goal-5: Be capable of...
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69 changes: 69 additions & 0 deletions guidelines/goals.md
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# Goals and Non-Goals

This document defines the purpose of the Message Format Working Group (MFWG)
and informs the decisions about the scope and the priorities of its efforts.

## Goals

The primary task of the MFWG is to develop an industry standard for the
representation of localizable message strings. The design goals are listed
below.

1. Express grammatical features, such as plurals, genders, and inflections.

2. Express other variance in translation, due to linguistic and regional
features, the presentation media, context, circumstance, and other factors.

3. Represent structured data alongside translations, such as markup, comments,
and metadata.

4. Ensure interoperability with existing interchange formats, in particular
with XLIFF.

5. Ensure that the standard can integrate with existing TMS and CAT
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Should we explain what the abbreviations stand for?

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5. Ensure that the standard can integrate with existing TMS and CAT
5. Ensure that the standard can integrate with existing TMS (Translation
Management System) and CAT (Computer Assisted Translation)

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Just noticed these are included in the glossary, so perhaps not needed

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probably we can just link to this expressions to the glossary

toolchains.

6. Enable the creation of implementations, frameworks and tools building on
top of the standard, manifesting different ideas and programming paradigms,
and optimized for different uses and audiences.


## Deliverables

1. A formal definition of the canonical data model for representing
localizable message strings.

2. A formal definition of the canonical syntax for representing the data
model, with well defined rules for handling text, special characters,
escape sequences, whitespace, markup, as well as parsing errors.

3. A specification for lossless conversion between the data model and XLIFF.

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Should we do same as before mot specify XLIFF or we can try all together define at least some base formats more than only XLIFF.

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IIUC, in the l10n tools world, XLIFF is the de facto standard format that they all support for importing/exporting, regardless of which other file formats they support. It's an open standard that is not vendor-specific. The core of it is implemented across most tools, even if some may attempt an embrace,extend,... strategy.

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@nbouvrette nbouvrette May 15, 2020 •
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I'd argue that XLIFF is probably the most complete (and complex) standard that is also not consistently adopted to the same extent across different products. It might be interesting to also consider the opposite file format (the simplest), which consist of only keys and values - for example .properties file. If we could support both then we should have a complete and flexible solution.

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This is a great point. It has been my experience as well that many vendors say they support XLIFF, and then it turns out that everyone supports a different subset of XLIFF.

4. A specification for resolving translations at runtime, including
interpolated data types and runtime errors.


## Non-Goals

The following is a list of potential goals which are explicitly excluded from
the scope of the MFWG.

1. Design a _general interchange format_ for storing and transferring
translations. Instead, ensure compatibility with the existing interchange
formats.

2. Support _all grammatical features of all languages_. Instead, focus on
features most commonly encountered in user interfaces, textual, graphical
and spoken ones alike.

3. Create an _automated engine_ capable of transforming parts of speech in
a grammatically-correct fashion. Instead, allow interfacing with such
automatic and non-automatic engines from within the data model.

4. Create optimized and efficient _implementations of the standard_. Instead,
create specifications, compliance test suites, recommendations and good
practices to support implementors.

5. Build a _framework for localizing software_. Instead, design the standard
as a building block to be used by third parties to create localization
frameworks.