Konu "Computational linguistics" için listeleme
Toplam kayıt 18, listelenen: 1-18
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AnlamVer: Semantic model evaluation dataset for Turkish - word similarity and relatedness
(Association for Computational Linguistics (ACL), 2018-08-26)In this paper, we present AnlamVer, which is a semantic model evaluation dataset for Turkish designed to evaluate word similarity and word relatedness tasks while discriminating those two relations from each other. Our ... -
Application of ChatGPT in the tourism domain: potential structures and challenges
(IEEE, 2023-12-23)The tourism industry stands out as a sector where effective customer communication significantly influences sales and customer satisfaction. The recent shift from traditional natural language processing methodologies to ... -
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 ... -
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 ... -
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 ... -
Constructing a Turkish constituency parse treeBank
(Springer Verlag, 2016)In this paper, we describe our initial efforts for creating a Turkish constituency parse treebank by utilizing the English Penn Treebank. We employ a semiautomated approach for annotation. In our previouswork [18], the ... -
Constructing a Turkish-English parallel treebank
(Association for Computational Linguistics (ACL), 2014)In this paper, we report our preliminary efforts in building an English-Turkish parallel treebank corpus for statistical machine translation. In the corpus, we manually generated parallel trees for about 5,000 sentences ... -
Emlak alanına özgü kelime ağı
(Institute of Electrical and Electronics Engineers Inc., 2019-04)Kelime ağı, anlamlarına göre organize edilmiş kelimeleri barındıran bir veritabanıdır. Bir kelime ağı, sahip olduğu kelimelerin anlamlarını, bilişsel eş anlamlılarını, türlerini, diğer anlamlar ile arasındaki ilişkilerini ... -
Evaluating the English-Turkish parallel treebank for machine translation
(TÜBİTAK, 2022-01-19)This study extends our initial efforts in building an English-Turkish parallel treebank corpus for statistical machine translation tasks. We manually generated parallel trees for about 17K sentences selected from the Penn ... -
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 ... -
ISIKSumm at BioLaySumm task 1: BART-based summarization system enhanced with Bio-entity labels
(Association for Computational Linguistics (ACL), 2023-07-13)Communicating scientific research to the general public is an essential yet challenging task. Lay summaries, which provide a simplified version of research findings, can bridge the gap between scientific knowledge and ... -
İngi̇li̇zce-Türkçe i̇stati̇sti̇ksel maki̇ne çevi̇ri̇si̇nde bi̇çi̇m bi̇li̇m kullanımı
(IEEE, 2012-04-18)Bu çalışmada, İngilizce-Türkçe dil ikilisi için biçimbilimsel çözümleme yardımı ile SIU dermecesi üzerinde istatistiksel makine çevirisi denemeleri yapılmıştır. Kelime biçimlerinin baz alındığı çeviri denemeleri İngilizce-Türkçe ... -
MorAz: An open-source morphological analyzer for Azerbaijani Turkish
(Association for Computational Linguistics (ACL), 2018)MorAz is an open-source morphological analyzer for Azerbaijani Turkish. The analyzer is available through both as a website for interactive exploration and as a RESTful web service for integration into a natural language ... -
Multilingual information retrieval on the Internet: A case study of Turkish users
(Academic Press Ltd- Elsevier Science Ltd, 2005-12)This study aims to answer the following research question: What information retrieval problems do Turkish Internet users face by using Turkish on the Internet?The data for this report were gathered by triangulation of three ... -
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 ... -
Parallel proposition bank construction for Turkish
(Işık Üniversitesi, 2019-04-02)PropBank is the bank of propositions which contains hand-annotated corpus for predicate-argument information and semantic roles or arguments. It aims to provide an extensive dataset for enhancing NLP applications such as ... -
A tree-based approach for English-to-Turkish translation
(Tubitak Scientific & Technical Research Council Turkey, 2019)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 ... -
Türkçe kelime ağı KeNet için arayüz
(Institute of Electrical and Electronics Engineers Inc., 2019-04)Kelime ağları, bir dildeki kelimeler arasındaki bağlantıları, eş anlam kümeleri oluşturarak ve bu kümeleri birbirine çeşitli anlamsal bağıntılar ile bağlayarak temsil eden bir çizge veri yapısıdır. Doğal dil işleme alanındaki ...