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A GATE plugin that provides many different machine learning algorithms for a wide range of NLP-related machine learning tasks like text classification, tagging, or chunking.

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was -0.16063 0.021235 0.95695 -1.0642 -0.42496 0.070767 0.88473 -0.38835 -0.96585 -0.032367 0.2431 1.4682 -5.7357 -0.31611 0.59085 0.33569 0.92369 1.0457 -0.96856 -0.30444 0.65033 0.94053 -0.003684 0.14969 0.38408
as 1.6188 -1.1035 0.42658 0.31703 -0.11402 0.59275 0.49999 -0.69629 0.41089 -1.3685 -0.31823 -1.1131 -5.152 0.19204 -0.42396 -0.51919 -0.80009 -0.17698 -0.51131 -0.85695 0.093274 0.33135 -0.28833 -0.14587 -0.62965
las 1.5179 -0.022127 0.93545 0.73588 0.14091 1.5943 -1.153 3.1856 -1.3181 -1.7678 0.71278 -2.6996 -2.5944 0.71537 0.9562 0.10139 0.80835 0.48011 1.7038 1.5022 0.58179 -1.5107 0.32392 0.11894 0.25769
mas 1.3764 -0.60262 0.33518 0.188 0.32296 0.51019 -0.53477 3.268 -0.26942 -0.43846 -0.29293 -2.9771 -1.5342 -0.75625 0.30649 -0.57459 -0.677 -0.36808 -0.3054 -0.44453 -0.34341 0.88181 -0.24414 1.5196 0.061323
please -0.32909 0.40221 -0.81 -0.37379 -0.91075 -1.4961 1.7134 0.90296 -0.93052 0.23089 -0.30272 -0.23206 -4.2977 -0.94941 -0.27274 0.1943 -0.19176 -1.6868 -0.40934 -0.53334 -0.27725 -0.86553 -0.16371 0.89115 -0.74183
has 0.00094602 -0.084355 0.19994 -0.7761 0.018379 -0.20488 0.90362 0.47504 -0.84697 -0.73296 2.0325 -0.17008 -5.216 0.62933 0.83384 -0.094651 0.62086 0.84523 0.42227 -0.76315 0.79514 0.40008 0.27858 0.20168 -0.71859
say 0.52048 1.177 -0.16715 0.29868 -0.8313 -0.23544 1.3667 0.51566 -0.0043904 0.70047 -0.5523 0.62762 -4.7169 -0.34308 -0.28594 -0.21642 0.288 -0.9755 -0.38838 -0.60262 0.72952 1.0716 -0.29519 0.70575 -0.31507
always -0.65411 0.73047 -0.053987 -0.31438 -0.52216 0.45487 2.0005 -0.074007 -0.55609 -0.073917 -0.28891 0.64106 -5.0264 -0.33416 -0.55905 0.77332 -0.40972 -0.72905 0.30575 -0.64874 0.85262 0.58199 -0.2795 0.70346 -0.49013
mais 2.0441 -1.9833 -0.80229 0.40804 0.28854 0.53155 -0.55972 0.050501 0.8071 -1.5557 -0.93368 -2.8365 -2.0625 -0.85048 -0.18631 -0.06238 -2.4286 -0.050601 -3.3074 0.20795 -0.012876 0.28987 0.052218 0.26419 0.18227
because -0.016895 -0.23224 0.13161 -0.060851 -0.27829 -0.38843 1.9953 -0.74172 -0.96761 0.42466 -0.11685 0.44388 -5.3205 -0.20027 0.28929 0.60342 -0.015802 -0.52457 0.64583 -0.76092 0.19877 0.46181 -0.1888 -0.025484 -0.80516
thanks -0.80095 0.82385 -0.28273 -0.10817 -0.55175 -0.72222 1.6159 0.9797 -1.001 0.26292 -0.68467 0.50623 -3.8982 -0.56209 0.43343 -0.66157 0.86205 -1.0689 -1.0178 0.05931 -0.35647 -0.43121 -1.1485 1.3683 -0.72813
esta -0.071951 -0.31299 1.0795 -0.69497 0.45405 0.63639 -0.57379 3.4962 -0.52124 -1.6109 -0.15744 -2.8906 -1.6653 -0.15098 1.2683 0.58671 -0.38041 0.13062 -0.079807 -0.36804 1.3464 -0.88925 1.0377 0.49612 0.48609
last 0.0315 0.45654 0.93984 -0.73565 -0.36102 0.096748 1.6172 0.073376 -0.45445 0.081122 -0.21629 0.82475 -4.6078 0.97445 0.74389 0.14517 0.7736 -0.6184 -1.1192 -0.28418 -0.83655 0.072766 0.18554 0.10127 -0.10761
ass -0.46266 0.72196 0.55391 0.48514 1.3499 0.49583 1.0263 -0.39733 -0.35255 0.41855 -1.046 0.58573 -4.8324 -0.9412 0.014295 -0.053355 0.71123 -1.5737 -0.59546 0.75911 1.2865 1.6262 1.7819 -0.61868 0.22536
sama -0.52714 0.91935 -0.38485 0.74566 -0.093813 -0.1399 0.35037 3.2056 1.6197 1.5208 0.24958 0.88127 -1.1901 -0.9909 -0.17924 -0.065028 -0.37003 -1.1039 -1.585 0.52289 -1.5249 1.4708 -2.2885 0.92928 -0.96139
pas 0.9732 0.36839 -1.7339 0.94081 -0.94004 1.1693 -0.40033 1.3793 1.3867 0.41281 0.61839 -0.074401 -1.8139 0.30522 0.50888 2.1206 -0.89265 -0.65893 -3.9733 1.4737 -0.48969 0.13357 -0.46641 0.096094 -0.66468
said -0.21188 0.73546 0.8962 -0.076374 -0.63004 -0.64884 1.0781 0.021889 -0.39873 0.17047 0.21471 1.2457 -4.9529 -0.57578 0.21578 -0.40897 0.515 -0.1686 -0.4686 -0.30414 1.7683 0.95467 0.15634 0.12822 -0.61118
bisa 0.57307 1.0613 -0.57835 -0.26385 -0.80296 0.76928 0.33631 2.9502 1.929 1.7851 1.2935 0.89181 -0.97792 -0.42356 -0.63211 0.5168 -0.38663 -1.2293 -0.19203 -1.3483 -1.9275 0.65515 -2.139 1.4738 -0.16824
same 0.52563 0.30274 0.4717 -0.019623 -0.00081274 0.32983 1.3034 -0.045966 -0.14648 0.66437 -0.96791 0.59799 -4.8826 0.090988 0.33774 0.4157 0.74847 -0.58353 -0.29876 0.096638 0.07094 0.64154 -0.25999 0.29605 -0.94331
days -0.16311 0.71018 0.79658 -0.65277 0.051692 0.1614 2.0275 -0.65446 -0.89914 0.14662 -0.7436 0.34092 -4.2865 1.2853 0.022304 -0.30485 0.00054356 -0.53965 -0.22983 -0.2865 -0.69024 -0.13438 0.30672 0.42756 0.3996




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