| innames oldnames newnames explanation getrid |
| rankDiff SY_RD SY_R_D rank difference: SY_W_R1-SY_C1_R 0 |
| af SY_C_LDAF SY_C1_LDAF logdice with autofocus 0 |
| dice SY_C_DICE SY_C1_DICE dice 1 |
| ld SY_C_LD SY_C1_LD logdice 0 |
| lfmd SY_C_MI3 SY_C1_MI3 MI^3 0 |
| llfmd SY_C_LEFTN_MI SY_C1_MI_L MI with left neighbour 1 |
| llr SY_C_LL SY_C1_LL loglikelihood 0 |
| lnpmi SY_C_LEFTN_COUNT SY_C1_C_L raw count of left neighbour 1 |
| md SY_C_MI2 SY_C1_MI2 MI^2 0 |
| npmi SY_C_NPMI SY_C1_NMI normalized MI 1 |
| pmi SY_C_MI SY_C1_MI (pointwise) mutual information, MI 0 |
| rlfmd SY_C_RIGHTN_MI SY_C1_MI_R MI with right neighbour 1 |
| rnpmi SY_C_RIGHTN_COUNT SY_C1_C_R raw count of right neighbour 1 |
| average SY_W_AVG SY_W_AVG average of output activations with autofocus 0 |
| cprob SY_W_CON SY_W_CON conorm of column normalized output activations with autofocus 0 |
| max SY_W_MAX SY_W_MAX max of output activations 0 |
| overall SY_W_NSUM1 SY_W_NSUM_AF sum of output activations normalized by total sum over all selected columns with autofocus 0 |
| prob SY_W_NSUM2 SY_W_NSUM sum of output activations normalized by total sum over all columns 0 |
| w2v.rank SY_W_RK1 SY_W_R1 rank by SY_W_CON 0 |
| w2v.rank1 SY_W_RK2 SY_W_R2 rank by SY_W_NSUM2 0 |
| classic.rank SY_C_RK SY_C1_R rank by SY_C_LD 0 |
| NSTOPW NSTOPW O_NSTOPW number of non stop words in idiom candidate 0 |
| CO_NUMBER CO_NUMBER O_C2_N number of occurrences in pop lyrics 1 |
| CO_SGT CO_SGT O_C2_SGT Simple Good-Turing estimate of probability in pop lyrics 0 |
| CO_EXPECTED CO_EXPECTED SY_C2_EXP expected number of occurrences 1 |
| CO_PMI CO_PMI SY_C2_MI (pointwise) mutual information, MI 0 |
| CO_MI3 CO_MI3 SY_C2_MI3 MI^3 0 |
| CO_LOCALMI CO_LOCALMI SY_C2_LMI local mutual information 0 |
| CO_Z CO_Z SY_C2_Z zscore 0 |
| CO_T CO_T SY_C2_T p-value of ttest 1 |
| CO_LL CO_LL SY_C2_LL loglikelihood 0 |
| CO_LOGDICE CO_LOGDICE SY_C2_LD logdice 0 |
| CO_K CO_K SY_C2_K k-value (Kita et al.1994) 1 |
| CO_G CO_G SY_C2_G lexical gravity (Gries/Mukherjee 2010) 1 |
| CO_WIN5_VEC CO_WIN5_VEC CO_VEC avg. cosine similarity between words in candidate and words in +/-5 context 0 |
| CO_WIN5_VEC_AUTOSEM CO_WIN5_VEC_AUTOSEM CO_VEC_LEX like CO_WIN5_VEC but only on lexical words 0 |
| CO_DEREKO CO_DEREKO O_DEREKO number of words available in DeReKo 0 |
| CO_GRAM CO_GRAM O_GRAM number of words in idiom candidate 0 |