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lt-trim - Online in the Cloud

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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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