Results 31 to 40 of about 14,339,869 (296)
Реализация параллельного алгоритма извлечения N-gram из текста на функциональном языке
Вестник КазНУ. Серия математика, механика, информатика, 2020 В данной статье рассматривается реализация параллельного алгоритма извлечения N-gram из слабоструктурированного текста на функциональном языке системы LuNA реализующий технологию фрагментированного программирования. Алгоритм извлечения N-gram относится к
B. S. Daribayev +2 more
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Morphological Skip-Gram: Replacing FastText characters n-gram with morphological knowledge
Inteligencia Artificial, 2021 Natural language processing systems have attracted much interest of the industry. This branch of study is composed of some applications such as machine translation, sentiment analysis, named entity recognition, question and answer, and others.
Thiago Dias Bispo +3 more
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Esteganografía lingüística en lengua española basada en modelo N-gram y ley de Zipf
Arbor: Ciencia, Pensamiento y Cultura, 2014 La esteganografía lingüistica es una ciencia que se aprovecha de la lingüistica computacional para diseñar sistemas útiles en la protección y la privacidad de las comunicaciones digitales y en el marcado digital de textos.
Alfonso Muñoz Muñoz +1 more
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Document Categorization with Modified Statistical Language Models for Agglutinative Languages [PDF]
International Journal of Computational Intelligence Systems, 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.
Ahmet Cüneyd Tantug
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Jurnal Japanedu: Pendidikan dan Pengajaran Bahasa Jepang, 2018 The situations where both native and non-native speakers participate in a conversation are called contact situations. In these situations, both native and non-native speakers make verbal behaviour adjustments to achieve a smooth conversation. Adjustments
Dwiky Yoseph Christopher
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Scientometrics, 2000 N-grams are generalized words consisting of N consecutive symbols, as they are used in a text. This paper determines the rank-frequency distribution for redundant N-grams. For entire texts this is known to be Zipf's law (i.e., an inverse power law).
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Recasting the discriminative n-gram model as a pseudo-conventional n-gram model for LVCSR [PDF]
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008 ABSTRACT Discriminative n-gram language modeling has been used to re-rank candidate recognition hypotheses for performance improvements in large vocabulary continuous speech recognition (LVCSR). Discriminative n-gram modeling is defined in a linear framework.
Zhengyu Zhou, Helen M. Meng
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Qur’an Search System for Handling Cross Verse Based on Phonetic Similarity
Jurnal Sisfokom, 2021 The number of verses in the Qur'an that is not small will be difficult and time consuming if done manually. Building a search system in the Qur'anic verse using the Indonesian Arabic-Latin equivalent will be very helpful for the Muslim community in ...
Intan Khairunnisa Fitriani +2 more
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N-gram model for detecting N-words by ProtFus.
, 2019 The N-gram model and some possible sets of combinations.
Milana Frenkel-Morgenstern (10186) +3 more
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4datox4d/n-gram-study-data: Study Data
, 2021 Participants consisted of 95 traditional, undergraduate students enrolled in multiple undergraduate psychology courses offered at a private, Mid-Atlantic liberal arts ...
Rand Ford
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