, ▁sometimes ▁the ▁common ▁sense ▁is ▁needed ▁to ▁dis ambigu ate ▁such ▁words ▁like ▁pron oun s ▁in ▁case ▁of ▁having ▁an ap hor as ▁or ▁cat ap hor as ▁in ▁the ▁text . ▁ ▁S ense ▁invent ory ▁and ▁algorithms ' ▁task - dependency ▁A ▁task - in dependent ▁sense ▁invent ory ▁is ▁not ▁a ▁coh er ent ▁concept : ▁each ▁task ▁requires ▁its ▁own ▁division ▁of ▁word ▁meaning ▁into ▁sens es ▁relevant ▁to ▁the ▁task . ▁For ▁example , ▁the ▁ambigu ity ▁of ▁' mouse ' ▁( an imal ▁or ▁device ) ▁is ▁not ▁relevant ▁in ▁English - F rench ▁machine ▁translation , ▁but ▁is ▁relevant ▁in ▁information ▁retr ieval . ▁The ▁opposite ▁is ▁true ▁of ▁' river ', ▁which ▁requires ▁a ▁choice ▁in ▁French ▁( f le uve ▁' flow s ▁into ▁the ▁sea ', ▁or ▁rivière ▁' flow s ▁into ▁a ▁river '). ▁ ▁Also , ▁completely ▁different ▁algorithms ▁might ▁be ▁required ▁by ▁different ▁applications . ▁In ▁machine ▁translation , ▁the ▁problem ▁takes ▁the ▁form ▁of ▁target ▁word ▁selection . ▁Here , ▁the ▁" s enses " ▁are ▁words ▁in ▁the ▁target ▁language , ▁which ▁often ▁correspond ▁to ▁significant ▁meaning ▁dist in ctions ▁in ▁the ▁source ▁language ▁(" bank " ▁could ▁translate ▁to ▁the ▁French ▁" ban que " — that ▁is , ▁' fin an cial ▁bank ' ▁or ▁" rive " — that ▁is , ▁' edge ▁of ▁river '). ▁In ▁information ▁retr ieval , ▁a ▁sense ▁invent ory ▁is ▁not ▁necessarily ▁required , ▁because ▁it ▁is