TY  - JOUR
TI  - Evaluating the English-Turkish parallel treebank for machine translation
AB  - This study extends our initial efforts in building an English-Turkish parallel treebank corpus for statistical
machine translation tasks. We manually generated parallel trees for about 17K sentences selected from the Penn Treebank
corpus. English sentences vary in length: 15 to 50 tokens including punctuation. We constrained the translation of trees
by (i) reordering of leaf nodes based on suffixation rules in Turkish, and (ii) gloss replacement. We aim to mimic human
annotator’s behavior in real translation task. In order to fill the morphological and syntactic gap between languages,
we do morphological annotation and disambiguation. We also apply our heuristics by creating Nokia English-Turkish
Treebank (NTB) to address technical document translation tasks. NTB also includes 8.3K sentences in varying lengths.
We validate the corpus both extrinsically and intrinsically, and report our evaluation results regarding perplexity analysis
and translation task results. Results prove that our heuristics yield promising results in terms of perplexity and are
suitable for translation tasks in terms of BLEU scores.
AU  - Yildiz, Olcay Taner
AU  - Görgün, Onur
DO  - 10.3906/elk-2102-57
PY  - 2022
JO  - Turkish Journal of Electrical Engineering and Computer Sciences
VL  - 30
IS  - 1
SN  - 1300-0632
SP  - 184
EP  - 199
DB  - TRDizin
UR  - http://search/yayin/detay/527859
ER  -