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lt-trim - Online in the Cloud

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This is the command lt-trim that can be run in the OnWorks free hosting provider using one of our multiple free online workstations such as Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator

PROGRAM:

NAME


lt-trim - This application is part of the lexical processing modules and tools ( lttoolbox
)

This tool is part of the apertium machine translation architecture:
http://www.apertium.org.

SYNOPSIS


lt-trim analyser_binary bidix_binary trimmed_analyser_binary

DESCRIPTION


lt-trim is the application responsible for trimming compiled dictionaries. The analyses
(right-side when compiling lr) of analyser_binary are trimmed to the input side of
bidix_binary (left-side when compiling lr, right-side when compiling rl), such that only
analyses which would pass through `lt-proc -b bidix_binary' are kept.

Warning: this program is experimental! It has been tested, but not deployed extensively
yet.

Both compund tags (`<compound-only-L>', `<compound-R>') and join elements (`<j/>' in XML,
`+' in the stream) and the group element (`<g/>' in XML, `#' in the stream) should be
handled correctly, even combinations of + followed by # in monodix are handled.

Some minor caveats: If you have the capitalised lemma "Foo" in the monodix, but "foo" in
the bidix, an analysis "^Foo<tag>$" would pass through bidix when doing lt-proc -b, but
will not make it through trimming. Make sure your lemmas have the same capitalisation in
the different dictionaries. Also, you should not have literal `+' or `#' in your lemmas.
Since lt-comp doesn't escape these, lt-trim cannot know that they are different from
`<j/>' or `<g/>', and you may get @-marked output this way. You can analyse `+' or `#' by
having the literal symbol in the `<l>' part and some other string (e.g. "plus") in the
`<r>'.

You should not trim a generator unless you have a very simple translator pipeline, since
the output of bidix seldom goes unchanged through transfer.

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