What type of statistical test should I use?

Hi all,
I cannot seem to figure out what test, if any, I can use for a data set I have, which is linguistic in nature. I'll explain:

I have grammatical mood tokens for two different generations, separated into 5 different tenses. In other words, the 1st generation has a total of 960 tokens as follows:
Present Tense: Subjunctive (S) 487, indicative (I) 252; Imperfect: S 83, I 56; Pluperfect: S 23, I 1, Present Perfect: S 19, I 11; Preterite: S 0 I 1

I ran a Chi-square for a contingency table with SUBJUNCTIVE & INDICATIVE as groups 1 & 2; then the five tenses as categories. The test gave significant results with p < 0.00001, but I'm not sure if this is the right test, or if I even entered the data correctly. I want to see if there is significance within each generation, not across generations, between grammatical mood and tense.



Less is more. Stay pure. Stay poor.
Not completely following your description. Can you do multiple tables instead? Can you post your contingency table so we can better see what you are working with.