TurBLiMP Evaluations

This dataset hosts the TurBLiMP evaluation results on my Turkish Model Zoo.

More about the TurBLiMP benchmark:

TurBLiMP is the first Turkish benchmark of linguistic minimal pairs, designed to evaluate the linguistic abilities of monolingual and multilingual language models (LMs). This benchmark covers 16 core grammatical phenomena in Turkish, with 1,000 minimal pairs per phenomenon. Additionally, it incorporates experimental paradigms that examine model performance across different subordination strategies and word order variations.

I've modified the original evaluation script and extended it for the Turkish Model Zoo. My evaluation script can be found here.

Results

After running the evaluation script, all results can be parsed with this notebook to print-out a nice overview table:

Phenomenon	`dbmdz/electra-small-turkish-cased-generator`	`dbmdz/electra-base-turkish-cased-generator`	`dbmdz/electra-base-turkish-mc4-cased-generator`	`dbmdz/electra-base-turkish-mc4-uncased-generator`	`dbmdz/bert-base-turkish-cased`	`dbmdz/bert-base-turkish-uncased`	`dbmdz/bert-base-turkish-128k-cased`	`dbmdz/bert-base-turkish-128k-uncased`	`dbmdz/distilbert-base-turkish-cased`	`dbmdz/convbert-base-turkish-cased`	`dbmdz/convbert-base-turkish-mc4-cased`	`dbmdz/convbert-base-turkish-mc4-uncased`
Anaphor Agreement	74.1	94.3	94.3	92.8	96.7	97.3	97.3	97.7	96.9	58.1	44.3	44.6
Argument Str. Tran.	86.6	99.6	99.4	98.7	99.7	99.6	99.8	99.1	97.5	51.9	58.1	51.3
Argument Str. Ditr.	79.3	96.1	95.5	95.2	99.8	96.1	96.1	96.1	95.4	64.6	58.6	64.5
Binding	70.7	96.2	91.4	89.6	99.9	98.5	97.7	99	93	89.1	49.4	78.4
Determiners	91.8	99.3	98.2	99.1	99.9	100	99	99.3	82.9	0	0	0
Ellipsis	10.6	49.7	46.3	49	87.4	73.6	96.6	87.5	13.6	54.7	57.8	67.9
Irregular Forms	98.7	97.9	99	99.8	98.8	100	99.9	99.6	94.1	82.9	86.6	95.2
Island Effects	39.1	35.3	41.8	44	49.4	39.8	60.9	51.2	47.4	96.7	99.4	100
Nominalization	90	96.6	97	95.4	97.4	97	98.9	97.4	95.6	55.2	59.2	60.6
NPI Licensing	90.9	96.1	95	98	98.2	97.6	97.2	95	92.1	82.1	95.6	71.9
Passives	100	91.2	93.6	91.6	82.2	78.1	84.4	81.3	98.8	100	100	99
Quantifiers	97.9	98	98	97.6	95.7	94.6	98	98.4	98.4	99	99	99
Relative Clauses	79.9	90.7	92	91.6	97.7	97.5	97	98.5	92	53.4	53.7	56.9
Scrambling	99.5	100	100	99.8	100	100	99.6	100	99.8	38.7	59.3	63.3
Subject Agreement	82.8	99	97.2	96.1	98.3	99.2	99.1	98.8	97	47.7	43.9	56.4
Suspended Affixation	97.5	99	99.1	98.8	100	100	100	100	100	25.4	12.8	23.2
Model Average	80.6	89.9	89.9	89.8	93.8	91.8	95.1	93.7	87.2	62.5	61.1	64.5

Summary

The TurBLiMP paper used the dbmdz/bert-base-turkish-128k-uncased for evaluation, yielding a strong performance.

My evaluation here showed, that the dbmdz/bert-base-turkish-128k-cased even performs better on the TurBLiMP benchmark.