Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Begüm Avar"'
Publikováno v:
Volume: 27, Issue: 1 437-452
Turkish Journal of Electrical Engineering and Computer Science
Turkish Journal of Electrical Engineering and Computer Science
In this paper, we present our English-to-Turkish translation methodology, which adopts a tree-based approach. Our approach relies on tree analysis and the application of structural modification rules to get the target side (Turkish) trees from source
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f53db79484866b0a0528b9c0d2b22aee
https://doi.org/10.3906/elk-1807-341
https://doi.org/10.3906/elk-1807-341
Autor:
Begüm Avar
Publikováno v:
Turkish Linguistics Across Boundaries: The Adana Meeting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6441dec537e12b20758bc54bf17a6c88
https://doi.org/10.2307/j.ctv1453kkh.7
https://doi.org/10.2307/j.ctv1453kkh.7
Publikováno v:
Turkish Linguistics Across Boundaries: The Adana Meeting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::927eb94ed43f47e0dc10eb20e8acada2
https://doi.org/10.2307/j.ctv1453kkh.24
https://doi.org/10.2307/j.ctv1453kkh.24
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
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d75804dfef549d0301d06d4bcbd8403
https://doi.org/10.1109/ubmk.2017.8093439
https://doi.org/10.1109/ubmk.2017.8093439
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::467725c458640811362f1fd7d392c4e8
https://doi.org/10.1109/ubmk.2017.8093442
https://doi.org/10.1109/ubmk.2017.8093442
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
Publikováno v:
Turkish Journal of Electrical Engineering & Computer Sciences. 2019, Vol. 27 Issue 1, p437-452. 16p.