问题
I am trying to train a model with Stanford neural network dependency parser for English. It does not accept a standard word2vector file with 100 dimensions. It generates an error message. I am using the embedded words as defined in this Web page: [https://drive.google.com/file/d/0B8nESzOdPhLsdWF2S1Ayb1RkTXc/view?usp=sharing][1] I have dowloaded the data as a text file in myPC. I am using the parameter -embeddingSize 100 but the parser generates an error message: Embedding File /../.../sskip.100.vectors: #Words=243004, dim=1 The dimension of embedding file does not match config.embeddingSize
I can see that each Word is defined by 100 values. Any suggestion about problems with this word embedding format for the Stanford Parser?
Here are the first words and the initial line:
243003 100
</s> 0.004003 0.004419 -0.003830 -0.003278 0.001367 0.003021 0.000941 0.000211 -0.003604 0.002218 -0.004356 0.001250 -0.000751 -0.000957 -0.003316 -0.001882 0.002579 0.003025 0.002969 0.001597 0.001545 -0.003803 -0.004096 0.004970 0.003801 0.003090 -0.000604 0.004016 -0.000495 0.000735 -0.000149 -0.002983 0.001312 -0.001337 -0.003825 0.004754 0.004379 -0.001095 -0.000226 0.000509 -0.003638 -0.004007 0.004555 0.000063 -0.002582 -0.003042 -0.003076 0.001697 0.000201 0.001331 -0.004214 -0.003808 -0.000130 0.001144 0.002550 -0.003170 0.004080 0.000927 0.001120 -0.000608 0.002986 -0.002288 -0.002097 0.002158 -0.000753 0.001031 0.001805 -0.004089 -0.001983 0.002914 0.004232 0.003932 -0.003047 -0.002108 -0.000909 0.002001 -0.003788 0.002998 0.002788 -0.001599 -0.001552 -0.002238 0.004229 0.003912 -0.001180 0.004215 0.004820 0.001815 0.004983 -0.003111 -0.001532 -0.002107 -0.002907 0.002815 0.001579 0.000425 -0.002194 0.001524 0.003059 0.000194
the 0.314845 -0.594966 0.364453 -0.303990 -0.163298 -0.208138 -0.063397 -0.274273 0.008039 0.313427 0.077980 0.230821 -0.303666 0.069646 0.034396 0.713454 0.144248 -0.182218 0.363876 0.619664 -0.351316 0.002414 0.434149 -0.429740 0.368150 -0.709280 -0.076584 0.168682 -0.111134 0.291124 0.056759 0.236357 -0.216234 -0.151878 -0.429654 0.020701 0.152160 -0.012689 -0.365258 -0.284180 -0.031743 0.322464 -0.294811 0.017445 -0.004059 0.215779 -0.119879 -0.232236 -0.321151 0.301774 -0.126148 -0.517174 0.345968 0.640385 -0.217424 0.308738 0.219053 -0.115701 -0.205319 -0.211564 0.195052 -0.465845 0.079989 -0.314120 -0.489292 0.393189 0.506710 0.444550 0.090913 -0.041937 0.019073 -0.211669 -0.068794 -0.324646 0.286798 -0.096603 -0.458527 -0.017360 -0.027033 0.193178 0.239730 0.050892 0.067579 -0.175215 0.044952 0.132419 -0.129821 0.273940 0.560339 0.021715 0.215951 0.731709 0.132121 0.113550 0.430923 0.344183 -0.263545 0.435532 -0.201218 -0.027319
, 0.061619 -0.565545 0.125936 -0.284422 -0.169127 0.460509 0.006625 -0.329331 0.336665 0.193879 -0.132434 0.249105 -0.175773 -0.082793 -0.508019 0.721060 0.760420 0.176019 0.246262 0.204314 -0.036362 0.074625 0.350433 -0.545271 0.286622 0.015969 0.181921 0.125430 0.076984 0.101759 -0.054494 -0.030594 -0.198813 0.228708 -0.216355 0.340003 0.244340 -0.195765 -0.119334 -0.120226 -0.318529 0.204634 0.185596 0.069793 0.452572 -0.086685 0.141807 -0.011995 -0.132059 -0.212667 -0.142585 -0.398395 -0.025111 0.381179 -0.108959 0.118045 0.097696 0.146426 -0.037016 -0.224785 -0.025545 -0.028420 0.267363 -0.368773 0.066806 0.377338 -0.069999 0.191271 0.208339 0.765346 -0.036333 0.458936 -0.107518 -0.250389 -0.237289 0.171875 0.037814 0.242127 0.013300 -0.237103 0.670932 0.376154 -0.036636 -0.018235 0.258066 -0.027170 -0.148790 0.426763 0.525802 0.158871 -0.257020 0.297436 0.124205 0.011005 0.495096 -0.158856 0.035228 0.189957 -0.267969 0.279380
. -0.116517 -0.631137 0.172816 -0.262048 -0.040504 0.169117 -0.205499 -0.148350 0.189173 -0.031506 -0.269349 0.609523 0.305698 0.023472 -0.190445 0.771157 0.612304 -0.063000 0.169066 0.124187 -0.252965 0.417390 0.571047 -0.499795 0.302955 -0.171781 -0.112887 -0.118344 -0.068801 0.051599 0.114658 0.144728 -0.341774 0.481746 -0.240515 0.133912 0.308567 -0.004850 0.110450 -0.254397 -0.202240 0.070778 0.094780 -0.098785 0.370708 0.007306 -0.049338 0.102309 0.098400 -0.195322 0.121543 -0.620514 -0.073040 0.195811 -0.309233 -0.020104 0.643815 0.071323 -0.093095 -0.374297 0.072836 -0.204757 0.191280 -0.432853 0.101545 0.427208 0.164303 0.246313 0.311429 0.849791 0.004568 0.328126 -0.185645 -0.371651 -0.270725 -0.013400 0.010909 0.024112 -0.176938 -0.180654 0.428156 0.150460 -0.219369 -0.015102 0.349785 0.259967 -0.081237 0.262176 0.586780 0.224804 -0.204084 0.548801 0.081115 0.046538 0.352024 0.230098 -0.050318 0.615924 -0.423620 0.186570
来源：https://stackoverflow.com/questions/34111411/neural-network-stanford-parser-word2vector-format-error-during-training