measure(ment),5-1-I05-2021,bq </term> . We present the first known <term> empirical test </term> of an increasingly common speculative
model,18-1-I05-2021,bq claim , by evaluating a representative <term> Chinese-to-English SMT model </term> directly on <term> word sense disambiguation
measure(ment),23-1-I05-2021,bq Chinese-to-English SMT model </term> directly on <term> word sense disambiguation performance </term> , using standard <term> WSD evaluation
measure(ment),30-1-I05-2021,bq performance </term> , using standard <term> WSD evaluation methodology </term> and <term> datasets </term> from the <term>
lr,34-1-I05-2021,bq WSD evaluation methodology </term> and <term> datasets </term> from the <term> Senseval-3 Chinese
other,37-1-I05-2021,bq </term> and <term> datasets </term> from the <term> Senseval-3 Chinese lexical sample task </term> . Much effort has been put in designing
tech,10-2-I05-2021,bq designing and evaluating dedicated <term> word sense disambiguation ( WSD ) models </term> , in particular with the <term> Senseval
other,22-2-I05-2021,bq models </term> , in particular with the <term> Senseval </term> series of workshops . At the same
measure(ment),10-3-I05-2021,bq time , the recent improvements in the <term> BLEU scores </term> of <term> statistical machine translation
tech,13-3-I05-2021,bq improvements in the <term> BLEU scores </term> of <term> statistical machine translation ( SMT ) </term> suggests that <term> SMT models </term>
tech,21-3-I05-2021,bq translation ( SMT ) </term> suggests that <term> SMT models </term> are good at predicting the right <term>
other,29-3-I05-2021,bq </term> are good at predicting the right <term> translation </term> of the <term> words </term> in <term> source
other,32-3-I05-2021,bq right <term> translation </term> of the <term> words </term> in <term> source language sentences
other,34-3-I05-2021,bq translation </term> of the <term> words </term> in <term> source language sentences </term> . Surprisingly however , the <term>
tech,4-4-I05-2021,bq </term> . Surprisingly however , the <term> WSD </term><term> accuracy </term> of <term> SMT
measure(ment),5-4-I05-2021,bq Surprisingly however , the <term> WSD </term><term> accuracy </term> of <term> SMT models </term> has never
tech,7-4-I05-2021,bq <term> WSD </term><term> accuracy </term> of <term> SMT models </term> has never been evaluated and compared
tech,20-4-I05-2021,bq compared with that of the dedicated <term> WSD models </term> . We present controlled experiments
tech,6-5-I05-2021,bq controlled experiments showing the <term> WSD </term><term> accuracy </term> of current typical
measure(ment),7-5-I05-2021,bq experiments showing the <term> WSD </term><term> accuracy </term> of current typical <term> SMT models
skrij podrobnosti