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Toplam kayıt 4, listelenen: 1-4
Automatic propbank generation for Turkish
(Incoma Ltd, 2019-09)
Semantic role labeling (SRL) is an important task for understanding natural languages, where the objective is to analyse propositions expressed by the verb and to identify each word that bears a semantic role. It provides ...
Comparison of Turkish proposition banks by frame matching
(IEEE, 2018-12-06)
By indicating semantic relations between a predicate and its associated participants in a sentence and identifying the role-bearing constituents, SRL provides an extensive dataset to understand natural languages and to ...
Evaluating the English-Turkish parallel treebank for machine translation
(TÜBİTAK, 2022-01-19)
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 ...
English-Turkish parallel treebank with morphological annotations and its use in tree-based SMT
(SciTePress, 2016)
In this paper, we report our tree based statistical translation study from English to Turkish. We describe our data generation process and report the initial results of tree-based translation under a simple model. For ...