Weighting with the bilingual dictionary

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$ cat bidix.dix 
<sdef n="n"/>
<sdef n="vblex"/>
<sdef n="inf"/>
<sdef n="sg"/>
<sdef n="pl"/>
<section id="main" type="standard">
<e><p><l>cat<s n="n"/></l><r>gato<s n="n"/></r></p></e>
<e><p><l>bat<s n="n"/></l><r>murciélago<s n="n"/></r></p></e>
<e><p><l>rat<s n="vblex"/></l><r>delatar<s n="vblex"/></r></p></e>

$ cat analyser.dix 
<sdef n="n"/>
<sdef n="vblex"/>
<sdef n="ger"/>
<sdef n="inf"/>
<sdef n="pres"/>
<sdef n="sg"/>
<sdef n="pl"/>
  <pardef n="cat__n">
    <e><p><l></l><r><s n="n"/><s n="sg"/></r></p></e>
    <e><p><l>s</l><r><s n="n"/><s n="pl"/></r></p></e>
  <pardef n="pat__vblex">
    <e><p><l></l><r><s n="vblex"/><s n="inf"/></r></p></e>
    <e><p><l>s</l><r><s n="vblex"/><s n="pres"/></r></p></e>
    <e><p><l>ting</l><r><s n="vblex"/><s n="ger"/></r></p></e>
<section id="main" type="standard">
<e lm="cat"><i>cat</i><par n="cat__n"/></e>
<e lm="rat"><i>rat</i><par n="cat__n"/></e>
<e lm="bat"><i>bat</i><par n="cat__n"/></e>
<e lm="pat"><i>pat</i><par n="cat__n"/></e>
<e lm="cat"><i>cat</i><par n="pat__vblex"/></e>
<e lm="rat"><i>rat</i><par n="pat__vblex"/></e>
<e lm="bat"><i>bat</i><par n="pat__vblex"/></e>
<e lm="pat"><i>pat</i><par n="pat__vblex"/></e>

Solution using lt-trim:

        lt-comp lr analyser.dix analyser.bin
        lt-comp lr bidix.dix bidix.bin
        lt-trim analyser.bin bidix.bin analyser-found.bin
        lt-print analyser.bin > analyser.att
        lt-print analyser-found.bin > analyser-found.att
        hfst-txt2fst -e ε analyser.att -o analyser.hfst
        hfst-txt2fst -e ε analyser-found.att -o analyser-found.hfst
        hfst-subtract -1 analyser.hfst -2 analyser-found.hfst -o analyser-unfound.hfst
        hfst-reweight -a 1 analyser-unfound.hfst -o analyser-unfound.weighted.hfst
        hfst-union -1 analyser-unfound.weighted.hfst -2 analyser-found.hfst -o analyser.weighted.hfst
        hfst-fst2txt analyser.weighted.hfst -o analyser.weighted.att
        lt-comp lr analyser.weighted.att analyser.weighted.bin
        rm *.hfst *.att


pat:pat<vblex><inf>	6
pats:pat<vblex><pres>	6
patting:pat<vblex><ger>	8
pat:pat<n><sg>	6
pats:pat<n><pl>	6
bat:bat<vblex><inf>	6
bats:bat<vblex><pres>	6
batting:bat<vblex><ger>	8
rat:rat<n><sg>	6
rats:rat<n><pl>	6
cat:cat<vblex><inf>	6
cats:cat<vblex><pres>	6
catting:cat<vblex><ger>	8
cat:cat<n><sg>	0
cats:cat<n><pl>	0
rat:rat<vblex><inf>	0
rats:rat<vblex><pres>	0
ratting:rat<vblex><ger>	0
bat:bat<n><sg>	0
bats:bat<n><pl>	0


  • Weight bidix with IBM model 1 (e.g. using fastalign) then propagate those weights to the FST.