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Toplam kayıt 12, listelenen: 1-10
Unsupervised morphological analysis using tries
(Springer London, 2012)
This article presents an unsupervised morphological analysis algorithm to segment words into roots and affixes. The algorithm relies on word occurrences in a given dataset. Target languages are English, Finnish, and Turkish, ...
Chunking in Turkish with conditional random fields
(Springer-Verlag, 2015-04-14)
In this paper, we report our work on chunking in Turkish. We used the data that we generated by manually translating a subset of the Penn Treebank. We exploited the already available tags in the trees to automatically ...
An all-words sense annotated Turkish corpus
(IEEE, 2018-06-06)
This paper reports our efforts in constructing of a sense labeled Turkish corpus with respect to Turkish Language Institution's dictionary, using the traditional method of manual tagging. We tagged a pre-built parallel ...
English-Turkish parallel semantic annotation of Penn-Treebank
(Oficyna Wydawnicza Politechniki Wroclawskiej, 2020)
This paper reports our efforts in constructing a sense-labeled English-Turkish parallel corpus using the traditional method of manual tagging. We tagged a pre-built parallel treebank which was translated from the Penn ...
Problems caused by semantic drift in WordNet synset construction
(Institute of Electrical and Electronics Engineers Inc., 2019-09)
In this study, we summarize the semantic drift problem that occur in specific synsets of KeNet, a Turkish WordNet, which is caused by mis-merging of semantically-related lexical items, morphological markings and false part ...
Creating a syntactically felicitous constituency treebank for Turkish
(Institute of Electrical and Electronics Engineers Inc., 2020-10-15)
In this study, Bakay et. al [1] and Yildiz et. al.'s [2] work on Turkish constituency treebanks were developed further. Compared to the previous work, the most prominent feature of this study is the fact that every annotation ...
On building the largest and cross-linguistic Turkish dependency corpus
(Institute of Electrical and Electronics Engineers Inc., 2020-10-15)
In this paper, we aim to introduce the dependency annotation process of the largest and the only cross-linguistic Turkish dependency treebank which was translated from the original Penn Treebank corpus. Within the scope ...
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 ...
A novel approach to morphological disambiguation for Turkish
(Springer-Verlag, 2012)
In this paper, we propose a classification based approach to the morphological disambiguation for Turkish language. Due to complex morphology in Turkish, any word can get unlimited number of affixes resulting very large ...
TRopBank: Turkish PropBank V2.0
(European Language Resources Association (ELRA), 2020-05-16)
In this paper, we present and explain TRopBank “Turkish PropBank v2.0”. PropBank is a hand-annotated corpus of propositions which is used to obtain the predicate-argument information of a language. Predicate-argument ...