# Spanish clitics and Freeling tokenizer/morphological analyzer

**URL:** <https://delphinqa.ling.washington.edu/t/spanish-clitics-and-freeling-tokenizer-morphological-analyzer/907>\
**Category:** SRG\
**Tags:** freeling\
**Created:** [April 14, 2023, 9:56am UTC](https://delphinqa.ling.washington.edu/t/spanish-clitics-and-freeling-tokenizer-morphological-analyzer/907 "2023-04-14T09:56:25Z")\
**Posts on this page:** 1\
**Showing post:** 4

<div class="post-metadata">

**Author:** ![olzama](https://delphinqa.ling.washington.edu/user_avatar/delphinqa.ling.washington.edu/olzama/32/6_2.png) [@olzama](https://delphinqa.ling.washington.edu/u/olzama)\
**Post date:** [May 16, 2023, 8:13am UTC](https://delphinqa.ling.washington.edu/t/spanish-clitics-and-freeling-tokenizer-morphological-analyzer/907/4 "2023-05-16T08:13:54Z")

</div>

We think that in any case, in order to get an analysis where _creer_ and _lo_ are one word, they must be one token at the level of YY-input (even if Freeling tokenizes them into two).

The wiki says:

> Each token in the above example has the following format:
> 
> (id, start, end, [link,] path+, form [surface], ipos, lrule+[, {pos p}+])

It would appear that the correct YY-input might then be (scroll all the way to the right):

```auto
(1, 0, 1, <0:6>, 1, "costar" "cuesta", 0, "vmip3s0", "vmip3s0" 0.946188340807175) (2, 1, 2, <7:14>, 1, "creer" "creerlo", 0, "vmn0000" "+pp3cna00", "+pp3cna00" 1.0) (3, 2, 3, <14:15>, 1, "." ".", 0, "fp", "fp" 1.0)

```

Indeed I do get a parse, yay! Although I am not seeing the surface forms where I want them but I hope this is a minor issue:

 ![Screen Shot 2023-05-16 at 10.12.34 AM](https://delphinqa.ling.washington.edu/uploads/default/original/1X/e416ea83ee6a7f576e1998c8c62e68240cf54e76.png)

Full ACE output:

```auto
(1, 0, 1, <0:6>, 1, "costar" "cuesta", 0, "vmip3s0", "vmip3s0" 0.946188340807175) (2, 1, 2, <7:14>, 1, "creer" "creerlo", 0, "vmn0000" "+pp3cna00", "+pp3cna00" 1.0) (3, 2, 3, <14:15>, 1, "." ".", 0, "fp", "fp" 1.0)
SENT: (yy mode)
[LTOP: h0 INDEX: event2 [ event SORT: semsort E.TENSE: pres E.ASPECT: aspect E.MOOD: ind SF: prop] RELS: < ["_costar_v_rel"<-1:-1> LBL: handle1 [ handle SORT: semsort] WLINK: list CFROM: *top* CTO: *top* ARG0: event2 ARG1: handle7 [handle SORT: semsort] ARG2: ref-ind8 [ref-ind SORT: ani_bpart_hum_soc PNG.PN: pernum PNG.GEN: gender PRONTYPE: prontype DEF: bool DIVISIBLE: bool] ] ["_creer_v_rel"<-1:-1> LBL: handle3 [ handle SORT: semsort] WLINK: list CFROM: *top* CTO: *top* ARG0: event12 [event SORT: semsort E.TENSE: nontense E.ASPECT: no-aspect E.MOOD: mood SF: prop] ARG1: ref-ind8 ARG2: ref-ind13 [ref-ind SORT: semsort PNG.PN: 3sg PNG.GEN: masc PRONTYPE: prontype DEF: bool DIVISIBLE: bool] ] > HCONS: < h0 qeq handle1 handle7 qeq handle3 > ] ; (1715 hd-sb_c -1.536990 0 3 (1710 hd_optcmp-v_c -0.119250 0 1 (1709 vmip3s0 0.000000 0 1 (1708 v_ppa*_sbj-vp-inf-oc_dlr 0.000000 0 1 (7 costar_v-pp_a-sbj_cp_p_sub 0.000000 0 1 ("costar" 1 "token [+FORM \"costar\" +FROM \"0\" +TO \"6\" +ID diff-list [ LIST cons [ FIRST \"1\" REST list] LAST list ] +POS pos [+TAGS cons [ FIRST \"vmip3s0\" REST null] +PRBS cons [FIRST \"0.946188\" REST null] ] +CLASS token_class +TRAIT token_trait +PRED predsort +CARG string ]"))))) (1714 hd-pt_c -1.417740 1 3 (1712 +PP3CNA00 -1.417740 1 2 (1711 vmn0000 -1.417740 1 2 (1693 v_acc_dlr 0.000000 1 2 (9 creer_v-np_rcp 0.000000 1 2 ("creer" 2 "token [+FORM \"creer\" +FROM \"7\" +TO \"14\" +ID diff-list [ LIST cons [ FIRST \"2\" REST list] LAST list ] +POS pos [+TAGS cons [ FIRST \"+pp3cna00\" REST null] +PRBS cons [FIRST \"1.000000\" REST null] ] +CLASS token_class +TRAIT token_trait +PRED predsort +CARG string ]"))))) (1713 fp 0.000000 2 3 (17 fstop_pt 0.000000 2 3 ("." 3 "token [+FORM \".\" +FROM \"14\" +TO \"15\" +ID diff-list [ LIST cons [ FIRST \"3\" REST list] LAST list ] +POS pos [+TAGS cons [ FIRST \"fp\" REST null] +PRBS cons [FIRST \"1.000000\" REST null] ] +CLASS token_class +TRAIT token_trait +PRED predsort +CARG string ]")))))
NOTE: 1 readings, added 1054 / 593 edges to chart (453 fully instantiated, 27 actives used, 235 passives used)	RAM: 6281k

```

As usual, special thanks to @Dan who said yesterday in the GE meeting: “Surely it is documented somewhere how to write YY when you have more than one lexical rule”. It ended up so simple in the end!

🎉 🎉 🎉

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_[View the full topic](https://delphinqa.ling.washington.edu/t/spanish-clitics-and-freeling-tokenizer-morphological-analyzer/907)._