It's it possible to anchor the source embeddings about muse HOT 3 CLOSED

2519370 300
, -0.02948 -0.21129 0.04343 0.19881 0.05295 -0.10741 0.04260 -0.07466 -0.21796 -0.01356 -0.00595 0.08293 -0.05613 0.13110 0.24169 0.01339 -0.26227 -0.02290 0.03767 -0.$
. 0.06645 -0.29178 0.14053 0.04299 0.13258 -0.22219 -0.03270 -0.01460 0.02280 -0.07971 -0.03245 0.12176 0.00496 -0.10281 0.31369 0.09630 -0.33772 0.14261 0.07439 -0.07$
the 0.04159 -0.11443 0.02923 -0.12095 -0.10245 -0.04293 -0.09272 -0.09758 0.03041 -0.19944 -0.00167 -0.12472 0.01751 -0.11062 0.19063 0.01375 -0.16086 0.02883 0.14020 $
</s> -0.00185 0.00126 0.00013 -0.00325 0.00110 0.00074 -0.00370 0.00007 0.00201 0.00354 0.00259 0.00131 0.00116 -0.00094 0.00011 -0.00213 0.00201 0.00294 -0.00241 -0.0$
of -0.04616 -0.07976 0.06595 -0.10639 -0.00265 -0.02144 -0.04606 -0.04847 -0.00289 -0.23925 0.05506 -0.07128 0.06057 -0.12338 0.23568 0.24877 -0.09040 0.08396 0.06380 $
- 0.08003 -0.35446 0.25302 -0.13906 0.12771 0.05924 -0.23303 -0.12729 -0.13709 -0.22097 0.05848 0.07262 0.18509 0.21290 0.10258 0.13504 -0.05400 0.00911 0.19758 0.3225$
in -0.01183 0.06227 0.03939 0.05250 -0.03320 -0.07291 0.06198 0.02659 -0.17706 -0.03607 -0.01088 -0.09639 -0.03377 -0.10644 0.13871 -0.12476 -0.11023 0.04956 -0.00823 $
and -0.01185 -0.10965 0.09453 0.14128 -0.02225 -0.16218 -0.00361 -0.01935 -0.10978 -0.12176 -0.03559 -0.05627 0.02960 0.02760 0.04719 0.01789 -0.07090 0.02324 0.02459 $


2519370 300
, -0.023167 -0.0042483 -0.10572 0.042783 -0.14316 -0.078954 0.078187 -0.19454 0.022303 0.31207 0.057462 -0.11589 0.096633 -0.093229 -0.034229 -0.14652 -0.11094 -0.1110$
. -0.11112 -0.0013859 -0.1778 0.064508 -0.24037 0.031087 -0.030144 -0.36883 -0.043855 0.24831 0.078633 -0.16072 0.10528 -0.09622 -0.077742 -0.28262 -0.13013 0.0056083 $
the -0.065334 -0.093031 -0.017571 0.20007 0.029521 -0.03992 -0.16328 -0.072946 0.089604 0.080907 -0.040032 -0.23624 0.1825 -0.061241 -0.064386 -0.075258 -0.050076 -0.0$
</s> 0.050258 -0.073228 0.43581 0.17483 -0.18546 -0.39921 -0.50767 -0.5066 -0.15557 0.031451 -0.23794 -0.44625 -0.26341 -0.26413 -0.26935 -0.62865 -0.13574 0.0697 0.26$
of 0.048804 -0.28528 0.018557 0.20577 0.060704 0.085446 -0.036267 -0.068373 0.14507 0.17852 0.14579 -0.1363 0.23348 0.029758 -0.22001 -0.0045515 -0.11197 -0.041367 0.0$
- -0.12278 -0.036748 0.20728 -0.018277 -0.0016348 0.023735 -0.03712 -0.28608 -0.19088 -0.068688 0.061755 -0.052416 0.16867 -0.1108 -0.11308 -0.27392 -0.30827 0.18204 0$
in 0.12367 -0.13965 0.044877 0.18919 -0.10997 -0.0064458 0.050499 -0.20439 -0.015761 0.15049 0.13774 -0.068241 0.17078 -0.13529 -0.18324 -0.00035567 -0.099566 -0.14549$
and -0.031533 0.046278 -0.12534 0.19165 -0.1266 -0.012853 0.10342 -0.0098085 0.15189 0.27582 0.13695 0.0088799 0.14132 -0.12 -0.063439 -0.15178 0.09809 -0.1201 -0.0690$

python supervised.py --src_lang en --tgt_lang eg --src_emb ./../x/embeddings/wiki.en.bin --tgt_emb ./../x/embeddings/car_brands.bin --dico_train identical_char --dico_max_rank 0 --n_refinement 5