[Fasttran-checkins] fasttran README,1.3,1.4

[alexander s. <a1...@us...>]

Update of /cvsroot/fasttran/fasttran
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	README 
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proofread by z-d

Index: README
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RCS file: /cvsroot/fasttran/fasttran/README,v
retrieving revision 1.3
retrieving revision 1.4
diff -C2 -d -r1.3 -r1.4
*** README	19 Feb 2007 11:18:04 -0000	1.3
--- README	28 Feb 2007 09:46:33 -0000	1.4
***************
*** 3,17 ****
  ============
  
! fasttran_ is a simple tool using Translation Memory (**TM**) databases
! to automate human text translations.  Unlike common Computer Aided
! Translation (**CAT**) tools (OmegaT_, for instance) fasttran_ has no
! knobs to turn in the process of the translation.  Text segmentation, TM
! operations et al. are all hidden under the cover; you just run the
! translator, get back a half-translated document, and continue your work
! with common text processor interface.
  
! fasttran_ was designed to suit freelance translators who find evolved
! interface of existing CAT tools too complicated to learn and
! operate.
  
  ============
--- 3,16 ----
  ============
  
! fasttran_ is a simple tool that uses a Translation Memory (**TM**)
! databases to automate human text translations.  Unlike common
! Computer-Aided Translation (**CAT**) tools (OmegaT_, for instance),
! fasttran_ has no knobs to turn in the process of translating.
! Text segmentation, TM operations et al. are all hidden under the cover;
! you just run the translator, get back a half-translated document,
! and continue your work with a common text processor interface.
  
! fasttran_ was designed to suit freelance translators who find the evolved
! interface of existing CAT tools too complicated to learn and operate.
  
  ============
***************
*** 21,42 ****
  At present, fasttran_ can work with `Microsoft Word`_ documents only,
  and requires `Microsoft Windows`_ and `Microsoft Word`_ to run.
! Depending on selected download_ option, additional software may be
! required.
  
! Most complete installation file is ``fasttran-x.x.x-setup.exe``
! (where ``x.x.x`` is version number, e.g. ``0.1.0`` in
  ``fasttran-0.1.0-setup.exe``).  This installer executable includes
  everything needed to run fasttran_ (except for `Microsoft Windows`_
  and `Microsoft Word`_, of course).  It is highly recommended to take
! this download option.  It's only drawback is bigger download and
  installation size.
  
! ``fasttran-x.x.x.win32.exe`` is Python_ module installer.  If you
! use Python for everyday work, you may use this option to spare
  several MiBs of disk space.  You will need to have installed Python_,
! pywin32_ and wxPython_.
  
! ``fasttran-x.x.x.tar.gz`` is fasttran_ source package.  If you take
! this one, you must know what you are doing.
  
  =====
--- 20,41 ----
  At present, fasttran_ can work with `Microsoft Word`_ documents only,
  and requires `Microsoft Windows`_ and `Microsoft Word`_ to run.
! Depending on the selected download_ option, additional software
! may be required.
  
! The most complete installation file is ``fasttran-x.x.x-setup.exe``
! (where ``x.x.x`` is the version number, e.g. ``0.1.0`` in
  ``fasttran-0.1.0-setup.exe``).  This installer executable includes
  everything needed to run fasttran_ (except for `Microsoft Windows`_
  and `Microsoft Word`_, of course).  It is highly recommended to take
! this download option.  Its only drawback is the larger download and
  installation size.
  
! ``fasttran-x.x.x.win32.exe`` is the Python_ module installer.
! If you use Python for everyday work, you may take this option to spare
  several MiBs of disk space.  You will need to have installed Python_,
! pywin32_ and wxPython_ for the module to work.
  
! ``fasttran-x.x.x.tar.gz`` is the fasttran_ source package.
! If you select this one, you must know what you are doing.
  
  =====
***************
*** 44,75 ****
  =====
  
! Text translation with fasttran_ uses **Translation Memory** (**TM**)
  engine.  Translation Memory is a database that keeps track of your
! previous translations.  When you begin a work on new document, you let
! fasttran_ search your own TM for all sentences of this document and
! see how you translated similar sentences before.  If fasttran_ finds a
! match, it replaces the sentence with found translation and marks it with
! colored background:
  
!   - No color (white background) - exact match.  You did translate
!     exactly same sentence before, and fasttran_ replaced the sentence
      with your previous translation.
  
!   - Grey background - no translation found.  The sentence is left
      untranslated.
  
!   - Other colors - found similar translation.  The sentence was
!     replaced, but translation does not suit the original well.  You need
!     to compare the sentence with one in the source document and fix the
!     translation.  Background color reflects the match quality, from
!     green - very good match (found sentence was very close to original) -
!     through yellow and red to violet - very bad match (the sentences
!     differ significantly).
  
! Of course, "exactness" of the search result is meant in "computer"
! sense: the sentences *"What a beautiful day!"* and *"What a terrible
! day!"* are **very similar**: they differ with only one word.  fasttran_
! does not understand the meaning of words, it only knows how to split a
! text to sentences, and sentences to words.
  
  Before you can use fasttran_ to translate documents, you need to create
--- 43,74 ----
  =====
  
! Text translation with fasttran_ uses a **Translation Memory** (**TM**)
  engine.  Translation Memory is a database that keeps track of your
! previous translations.  When you begin work on a new document, you let
! fasttran_ search your own TM for all the sentences of this document
! to see how you've translated similar sentences earlier.  If fasttran_
! finds a match, it replaces the sentence with the found translation
! and marks it with a colored background:
  
!   - No color (white background): exact match.  You translated exactly
!     same sentence before, and fasttran_ has replaced the sentence
      with your previous translation.
  
!   - Grey background: no translation found.  The source sentence is
      untranslated.
  
!   - Other colors: found a similar translation.  The sentence was replaced
!     but the translation does not fully suit the original.  You need to
!     compare the sentence with the one in the source document and fix
!     the translation.  The background color reflects match quality,
!     from green - very good match, the found sentence was very close to
!     the original - through yellow and red to violet - very bad match,
!     the sentences differ significantly.
  
! Of course, the "exactness" of a search result is meant in the "computer"
! sense: the sentences *"What a beautiful day!"* and *"What a terrible day!"*
! are **very similar**: they differ in only one word.  fasttran_ does not
! understand the meaning of words, it only knows how to split a text into
! sentences, and the sentences into words.
  
  Before you can use fasttran_ to translate documents, you need to create
***************
*** 77,116 ****
  
  Find a pair of documents (source and translation) that you did before.
! In the fasttran_ window, activate the second notebook page: ``TM
! training``.  Select source document language from the pull-down list.
! When you do this the first time, your languages will be somewhere in the
! middle of the list, ordered alphabetically.  But as you do the training,
! used languages pop up to the beginning of the list.  Enter source
! document name in the next entry field or click the button on the right
! side and select the document in ``Select a file`` dialog.  Fill in
! target language and document file name and push the ``Learn!`` button.
! If all goes well, after some time you will be present with a message
! window saying how many sentences were learned from this document pair.
  
! Repeat learning for as many document pairs as you can find - the bigger
! are your TM databases, the better are your chances of getting a good
! translation.
  
! When you are done with learning, you may try to actually translate
! something.  In fasttran_ window, switch to the first page:
! ``Translation``.  Source and translation language selectors are set
! to the last language pair you used for TM training.  Adjust if needed.
! Note that language selection lists on this page only allow to select
! language pairs for existing TM databases, you cannot select a language
! that you didn't teach to the program.  Enter file name for the source
! document, or select source file from ``Select a file`` dialog.  You may
! also specify target document name, but if you don't then it will be
! generated automatically from the source file name and target language
! tag.  After some processing you will get a half-translated document,
! full of color marks.  From here you're on your own.
  
  After you have finished translating the document, don't forget to feed
! your translation to TM training.  Even if translation is perfectly good
! (improbable!) and you did not change anything, learning the translation
! does useful things [#]_ to your TM database.
  
! When you start using fasttran_, perhaps first translations will be very
! poor.  Please do not be disappointed.  As your TM bases grow bigger,
! translation quality will improve.
  
  Good luck!
--- 76,118 ----
  
  Find a pair of documents (source and translation) that you did before.
! In the fasttran_ window, activate the second tab: ``TM training``.
! Select your source document language from the pull-down list.
! The first time, your languages will be somewhere in the middle of the
! list, ordered alphabetically.  But as you do the training, frequently-used
! languages pop up to the beginning of the list.  Next, enter the name of
! the source document in the next input field or click the button to the
! right and select the document using the ``Select a file`` dialog.  Fill
! in the target language and document file name and press the ``Learn!``
! button.  If all goes well, after some time you will be presented with a
! message window saying how many sentences were learned from this document
! pair.
  
! Repeat learning for as many document pairs as you can find.
! The bigger your TM databases, the better your chances are of getting
! a good automated translation.
  
! When you are done with learning, you can try to actually translate
! something.  In the fasttran_ window, switch to the first tab,
! ``Translation``.  The source and translation language selectors are
! set to the last language pair you used for TM training.  Adjust these
! if needed.  Note that the lists on this page only allow to select
! language pairs for existing TM databases, i.e. you can't select
! a language that you didn't teach to the program.  Enter file name
! of the source document or select the file using the ``Select a file``
! dialog.  You may also specify the target document name, but if you don't
! then it will be generated automatically from the source file name
! and target language tag.  After some processing you will get
! a half-translated document, full of color marks.  From here on out,
! the translation is up to you.
  
  After you have finished translating the document, don't forget to feed
! your translation to the TM training utility.  Even if the automated
! translation was perfectly good (improbable!) and you did not change
! anything, learning the translation does useful things [#]_ to your TM
! database.
  
! When you start using fasttran_, the first translations will probably
! be very poor.  Please do not be disappointed.  As your TM bases grow
! bigger, translation quality will improve.
  
  Good luck!