Ara
Toplam kayıt 3, listelenen: 1-3
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 ...
An open, extendible, and fast Turkish morphological analyzer
(Incoma Ltd, 2019-09)
In this paper, we present a two-level morphological analyzer for Turkish which consists of five main components: finite state transducer, rule engine for suffixation, lexicon, trie data structure, and LRU cache. We use ...
A FST description of noun and verb morphology of Azarbaijani Turkish
(Association for Computational Linguistics (ACL), 2021)
We give a FST description of nominal and finite verb morphology of Azarbaijani Turkish. We use a hybrid approach where nominal inflection is expressed as a slot-based paradigm and major parts of verb inflection are expressed ...