Zobrazeno 1 - 10
of 148
pro vyhledávání: '"Statistical language modeling"'
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The emergence of the ChatGPT language model has sparked significant interest in educational circles, thanks to its capabilities in generating text, understanding context, and engaging in logical reasoning and conversation. This study explores the imp
Externí odkaz:
https://doaj.org/article/b2d5c0da90c7480dbb9435280c9b0b6a
Autor:
Łukasz Dębowski
Publikováno v:
Entropy, Vol 23, Iss 9, p 1148 (2021)
We present a hypothetical argument against finite-state processes in statistical language modeling that is based on semantics rather than syntax. In this theoretical model, we suppose that the semantic properties of texts in a natural language could
Externí odkaz:
https://doaj.org/article/0075ef59e0064ec6a97ea5543ec7d848
Autor:
Yaman, Sibel
It has been increasingly recognized that realistic problems often involve a tradeoff among many conflicting objectives. Traditional methods aim at satisfying multiple objectives by combining them into a global cost function, which in most cases overl
Externí odkaz:
http://hdl.handle.net/1853/26470
Autor:
Ahmet Cüneyd Tantug
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 3, Iss 5 (2010)
In this paper, we investigate the document categorization task with statistical language models. Our study mainly focuses on categorization of documents in agglutinative languages. Due to the productive morphology of agglutinative languages, the numb
Externí odkaz:
https://doaj.org/article/c5b7c8cf13224110bc60b5fc57605cd7
Autor:
Yahya Sirin, Mehmet Ali Kutlugun
Metin üretme çalışmaları, mevcut cümlelerin analiz edilerek yeni bilgi çıkarımlarının yapıldığı, varolan bir bilgiden yola çıkarak bununla bağlantılı anlamlı bilgilerin elde edildiği sistemlerdir. Bu sistemler, özellikle intern
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::879455c71f6ca3a888489ebb7405e3e1
https://hdl.handle.net/20.500.12436/1973
https://hdl.handle.net/20.500.12436/1973
Driven by advances in computer engineering, model architectures, and training methods, the field of Natural Language Processing (NLP) has reached new heights of performance. Currently utilizing short-term buffers to represent the context in which a w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2abc90c4abe625beb0d92c85cfa80182
Autor:
ŞİRİN, Yahya, KUTLUGÜN, Mehmet Ali
Publikováno v:
Volume: 22, Issue: 65 331-342
Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi
Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi
Text generation studies are the systems which new knowledge inferences are made by analyzing the existing sentences and meaningful information is obtained from an existing knowledge. These systems provide convenience to users to return more meaningfu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=tubitakulakb::84664b4dc95f1341ccf553c2a948e66e
https://dergipark.org.tr/tr/pub/deumffmd/issue/54215/547160
https://dergipark.org.tr/tr/pub/deumffmd/issue/54215/547160
Publikováno v:
International Journal of Corpus Linguistics, 24(1). John Benjamins Publishing
Previous research has demonstrated that language use can vary depending on the context of situation. The present paper extends this finding by comparing word predictability differences between 14 speech registers ranging from highly informal conversa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::ec7119804b1433d1a7090ef5fc12cdfa
https://pure.knaw.nl/portal/en/publications/12e61abc-5763-4243-8202-618156cf0905
https://pure.knaw.nl/portal/en/publications/12e61abc-5763-4243-8202-618156cf0905
Publikováno v:
International Journal of Corpus Linguistics. 24(1)
Previous research has demonstrated that language use can vary depending on the context of situation. The present paper extends this finding by comparing word predictability differences between 14 speech registers ranging from highly informal conversa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dris___00893::91820383ea0768e0b1a909bfb978c1dd
https://hdl.handle.net/20.500.11755/12e61abc-5763-4243-8202-618156cf0905
https://hdl.handle.net/20.500.11755/12e61abc-5763-4243-8202-618156cf0905
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