I have one MRS I got from parsing the phrase “cute cat” with the ERG and I have another that I constructed from scratch, they look isomorphic to me, but PyDelphin doesn’t recognize them as such. What am I missing?
ERG MRS [ LTOP: h0 INDEX: e2 [ e SF: prop ] RELS: < [ unknown<0:8> LBL: h1 ARG0: e2 ARG: x4 [ x PERS: 3 NUM: sg IND: + ] ] [ udef_q<0:8> LBL: h5 ARG0: x4 RSTR: h6 BODY: h7 ] [ _cute_a_1<0:4> LBL: h8 ARG0: e9 [ e SF: prop TENSE: untensed MOOD: indicative PROG: bool PERF: - ] ARG1: x4 ] [ _cat_n_1<5:8> LBL: h8 ARG0: x4 ] > HCONS: < h0 qeq h1 h6 qeq h8 > ICONS: < > ]
My MRS: [ TOP: h12 INDEX: e9 RELS: < [ unknown LBL: h11 ARG: x3 ARG0: e9 ] [ udef_q LBL: h8 ARG0: x3 RSTR: h6 BODY: h7 ] [ _cute_a_1 LBL: h2 ARG0: e0 ARG1: x3 ] [ _cat_n_1 LBL: h2 ARG0: x3 ] > HCONS: < h6 qeq h2 h12 qeq h11 > ]
The key things I see in the ERG MRS are…
- TOP =q unknown_LBL
- INDEX = unknown_ARG0
- RSTR of udef_q =q cute_LBL/cat_LBL
- unknown_ARG = udef_q_ARG0 = cute_ARG1 = cat_ARG0
All of these conditions are met in my MRS, but it still isn’t working. Is anything jumping out?
EDIT: It seems that the fact that the ERG version includes additional information about some variables (tense, person, number, etc) is what’s preventing it from being isomorphic. … still, the ERG won’t generate from my MRS, which seems odd because other than the lack of that information it’s still “correct” (as far as I can tell)