Ara
Toplam kayıt 15, listelenen: 1-10
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 ...
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 ...
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 ...
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 ...
BOUN-ISIK participation: an unsupervised approach for the named entity normalization and relation extraction of Bacteria Biotopes
(Association for Computational Linguistics (ACL), 2019-11-04)
This paper presents our participation at the Bacteria Biotope Task of the BioNLP Shared Task 2019. Our participation includes two systems for the two subtasks of the Bacteria Biotope Task: the normalization of entities ...
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 ...
Integrating Turkish Wordnet KeNet to Princeton WordNet: The case of one-to-many correspondences
(Institute of Electrical and Electronics Engineers Inc., 2019-10)
In this paper, we introduce a novel approach of forming interlingual relations between multilingual wordnets. We have mapped Turkish senses in KeNet with their corresponding senses in Princeton WordNet by drawing one-To-many ...
Visual modeling of Turkish morphology
(European Language Resources Association (ELRA), 2020-05-16)
In this paper, we describe the steps in a visual modeling of Turkish morphology using diagramming tools. We aimed to make modeling easier and more maintainable while automating much of the code generation. We released the ...
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 ...