Kaingang/Transducer

[1] Link to Kaingang Transducer

First Evaluation

• First evaluation of coverage 2/21/19:

$ aq-covtest ling073-kgp-corpus/kgp.corpus.basic.txt ling073-kgp/kgp.automorf.bin
Number of tokenised words in the corpus: 1303
Coverage: 26.94%
Top unknown words in the corpus:
68	 tóg
49	 tỹ 
44	 mũ
42	 nĩ
38	 mỹ
36	 ẽg
33	 tĩ
24	 vỹ
21	 ki
20	 han
19	 ke
19	 to
17	 Topẽ
16	 jé
16	 kar
15	 vẽnh
14	 h
13	 vĩ
12	 vẽ
11	 ũ
Translation time: 0.005640268325805664 seconds

• Many of these top unknown words are included in our wiki and even in our morph tests. They just happen to be markers, which are added to nouns, verbs, or pronouns to indicate something about them.

Classification of First Top Unknown Words

Kaingang	Approximate Meaning	Classification
tóg	subject is agent	subject indicator
tỹ	agent is ergative, topic marker	subject indicator
mũ	doing, an action is done repeatedly	might be verb to do? / verb marker
nĩ	in the situation of doing the action,	situational/continuous marker
mỹ	subject in a yes-or-no question	subject indicator
ẽg	?	?
tĩ	habitually	verb habitual marker
vỹ	subject is topic	subject indicator
ki	in, on, at	circumstance marker
han	to get better	verb
ke	leftovers, remaining	noun
to	to, in the direction of	circumstance marker
Topẽ	God, anything sacred, to pray	noun, verb
jé	subject expects the action, speaker desires the action	subject indicator
tĩ	habitually	verb habitual marker
kar	all	noun
vẽnh	of oneself	reflexive pronoun
h	?	?
vĩ	word, speech, to speak	noun, verb
vẽ	is, was, ergative	aspect marker
ũ	makes indefinite noun	indefinite noun marker

Second Evaluation

• Added words that are subject indicators (tóg, tỹ, mỹ, vỹ, jé) with <subj>. The second evaluation of coverage, now with added subject indicators, 2/22/19:

$ aq-covtest ling073-kgp-corpus/kgp.corpus.basic.txt ling073-kgp/kgp.automorf.bin
Number of tokenised words in the corpus: 1303
Coverage: 41.98%
Top unknown words in the corpus:
44	 mũ
42	 nĩ
36	 ẽg
33	 tĩ
21	 ki
20	 han
19	 ke
19	 to
17	 Topẽ
16	 kar
15	 vẽnh
14	 h
13	 vĩ
12	 vẽ
11	 ũ
11	 nén
9	 ẽn
9	 Ẽg
8	 Jesus
8	 José
Translation time: 0.0059816837310791016 seconds

• How much each word added to the coverage (percentage each individual word added):
  • tóg -> 32.16% - 26.94% = 5.22%
  • tỹ -> 30.78% - 26.94% = 3.84%
  • mỹ -> 29.85% - 26.94% = 2.91%
  • vỹ -> 28.78% - 26.94% = 1.84%
  • jé -> 28.17% - 26.94% = 1.53%

Notes

• Total number of stems in the transducer:

$ lexccounter apertium-kgp.kgp.lexc
Unique entries: 105

• Current coverage over combined corpus: 41.98%
• Current list of unknown words returned by aq-covtest: mũ (44), nĩ (42), ẽg (36), tĩ (33), ki (21), han (20), ke (19), to (19), Topẽ (17), kar (16), vẽnh (15), h (14), vĩ (13), vẽ (12), ũ (11), nén (11), ẽn (9), Ẽg (9), Jesus (8), José (8)
• Tests:
  • No tests in kgp.yaml fail.
  • 5 out of 20 of the tests in commonwords.yaml pass.

Experiment

Tried testing coverage on a text file containing all of unparsed bible:

$ aq-covtest ling073-kgp-corpus/bible_kaingang.txt ling073-kgp/kgp.automorf.bin
Number of tokenised words in the corpus: 388887
Coverage: 42.44%
Top unknown words in the corpus:
16033	 mũ
10740	 ke
9523	 nĩ
6238	 ẽg
5604	 Topẽ
5401	 ki
5244	 han
5013	 tĩ
4944	 to
4428	 ẽn
4389	 ũ
3985	 vĩ
3569	 h
3440	 Jesus
3006	 nỹtĩ
2907	 vẽnh
2769	 kar
2722	 mré
2508	 t
2407	 sóg
Translation time: 0.7014105319976807 seconds

• Coverage looks a lot similar to our combined corpus file!

Words Added Post-Experiment

• Most of the top unknown words are shared between the files.

Top unknown in...
kgp.basic.corpus.txt only	bible_kaingang.txt only
vẽ	nỹtĩ
nén	mré
José	t
	sóg

• Top unknown words found in both kgp.basic.corpus.txt and bible_kaingang.txt: mũ, nĩ, ke, ẽg, Topẽ, to, han, tĩ, ki, kar, vẽnh, h, vĩ, ẽn, ũ, and Jesus.
• Top unknown in kgp.basic.corpus.txt, but not in bible_kaingang.txt: vẽ, nén, and José.
• Top unknown in bible_kaingang.txt, but not in kgp.basic.corpus.txt: nỹtĩ (3006), mré (2722), t (2508), and sóg (2407).