Multitrans

multitrans is a program found in apertium-lex-tools, used as a helper when training (see Learning rules from parallel and non-parallel corpora).

modes

-b

This will output the source along with all target translations, like lt-proc -b.

Doing just

multitrans -b sl-tl.autobil.bin

is equivalent to doing lt-proc -b sl-tl.autobil.bin if the input consists of just correctly formatted lexical units (lt-proc -b fails on some misformattings that multitrans ignores).

-p

This will output the source side only, so used alone it turns into cat, but used with -t you can trim the tags to what bidix has.

So if bidix has an entry for kake<n><f>, you'll get

$ echo '^kake<n><f><sg><def>$' |multitrans -p -t nno-nob.autobil.bin
^kake<n><f><*>$

-m

This will output one entry on each line with a pair of translations, e.g.

$ echo '^obsternasig<adj><pst><sg><ind>$' |multitrans -m nor-eng.autobil.bin
.[][0 0].[]     ^obsternasig<adj><pst><sg><ind>/obstinate<adj><pst><sg><ind>$
.[][0 1].[]     ^obsternasig<adj><pst><sg><ind>/obdurate<adj><pst><sg><ind>$
.[][0 2].[]     ^obsternasig<adj><pst><sg><ind>/stubborn<adj><pst><sg><ind>$
.[][0 3].[]     ^obsternasig<adj><pst><sg><ind>/refractory<adj><pst><sg><ind>$

Options

-t

Trims off tags that don't appear in bidix, e.g. if bidix has an entry for kake<n><f>:

$ echo '^kake<n><f><sg><def>$' |multitrans -p -t nno-nob.autobil.bin
^kake<n><f><*>$

Can be used with -m or -b as well:

$ echo '^obsternasig<adj><pst><sg><ind>$' |multitrans -m -t nor-eng.autobil.bin
.[][0 0].[]     ^obsternasig<adj><*>/obstinate<adj><*>$
.[][0 1].[]     ^obsternasig<adj><*>/obdurate<adj><*>$
.[][0 2].[]     ^obsternasig<adj><*>/stubborn<adj><*>$
.[][0 3].[]     ^obsternasig<adj><*>/refractory<adj><*>$

$ echo '^obsternasig<adj><pst><sg><ind>$' |multitrans -b -t nor-eng.autobil.bin
^obsternasig<adj><*>/obstinate<adj><*>/obdurate<adj><*>/stubborn<adj><*>/refractory<adj><*>$

-f | --filter-lines

Applies filters on the sentences. When applied, outputs only sentences having ambiguous words, fertility < 10000(number of combinations of sentences that can be formed using the ambiguous words) and coverage >= 90(some filter on the number of ambiguous words)

-n

Numbers the lines. Doesn't seem to make a difference under the -m mode.