Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Gokhan Ercan"'
Publikováno v:
RANLP
In this paper, we present a two-level morphological analyzer for Turkish. The morphological analyzer consists of five main components: finite state transducer, rule engine for suffixation, lexicon, trie data structure, and LRU cache. We use Java lang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1a2d28638193410ce6ff1c840848264
https://hdl.handle.net/11729/2300
https://hdl.handle.net/11729/2300
Publikováno v:
2018 3rd International Conference on Computer Science and Engineering (UBMK).
The aim of paper is generate a data set for analysing of Turkish semenatic and sentence similarity.
Publikováno v:
ICNLSP
In this paper, we present the first multilayer annotated corpus for Turkish, which is a low-resourced agglutinative language. Our dataset consists of 9,600 sentences translated from the Penn Treebank Corpus. Annotated layers contain syntactic and sem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4974387037cb0322749d3cecba43f657
https://hdl.handle.net/11729/1461
https://hdl.handle.net/11729/1461
Autor:
Berke Ozenc, Ilker Cam, Gokhan Ercan, Onur Acikgoz, Burak Ertopcu, Ali Tunca Gurkan, Ozan Topsakal, Ali Bugra Kanburoglu, Olcay Taner Yildiz, Begüm Avar
Publikováno v:
2017 International Conference on Computer Science and Engineering (UBMK).
Many sentences create certain impressions on people. These impressions help the reader to have an insight about the sentence via some entities. In NLP, this process corresponds to Named Entity Recognition (NER). NLP algorithms can trace a lot of enti
Autor:
Begüm Avar, Ali Bugra Kanburoglu, Olcay Taner Yildiz, Berke Ozenc, Ozan Topsakal, Ali Tunca Gurkan, Ilker Cam, Gokhan Ercan, Burak Ertopcu, Onur Acikgoz
Publikováno v:
2017 International Conference on Computer Science and Engineering (UBMK).
Identifying the sense of a word within a context is a challenging problem and has many applications in natural language processing. This assignment problem is called word sense disambiguation(WSD). Many papers in the literature focus on English langu
Autor:
Burak Ertopcu, Onur Acikgoz, Ali Tunca Gurkan, Ilker Cam, Olcay Taner Yildiz, Gokhan Ercan, Begüm Avar, Ali Bugra Kanburoglu, Ozan Topsakal, Berke Ozenc
In this study, shallow parsing is applied on Turkish sentences. These sentences are used to train and test the per-formances of various learning algorithms with various features specified for shallow parsing in Turkish. Bu çalışmada, Türkçe cüm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84b37f724d3316fc9b3d3f1c4fab3a32
https://hdl.handle.net/11729/1515
https://hdl.handle.net/11729/1515