Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand,
Seth Darren's insight:
May 2024 - Top10 Cited Articles in Natural Language Computing
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
Seth Darren's insight:
Call for Papers - June Issue!!
International Journal on Natural Language Computing (IJNLC)
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
Seth Darren's insight:
Call for Papers - June Issue!!
International Journal on Natural Language Computing (IJNLC)
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
Seth Darren's insight:
Call for Papers - April Issue!!
International Journal on Natural Language Computing (IJNLC)
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
Seth Darren's insight:
Call for Papers - April Issue!!
International Journal on Natural Language Computing (IJNLC)
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
Seth Darren's insight:
Call for Papers - April Issue!!
International Journal on Natural Language Computing (IJNLC)
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
Seth Darren's insight:
Call for Papers - April Issue!!
International Journal on Natural Language Computing (IJNLC)
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand,
Seth Darren's insight:
***Current Issue: February 2024, Volume 13, Number 1***
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
Seth Darren's insight:
Call for Papers - April Issue!!
International Journal on Natural Language Computing (IJNLC)
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
Seth Darren's insight:
Call for Papers - February Issue!!
International Journal on Natural Language Computing (IJNLC)
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
Seth Darren's insight:
Call for Papers - June Issue!!
International Journal on Natural Language Computing (IJNLC)
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
Seth Darren's insight:
Call for Papers - June Issue!!
International Journal on Natural Language Computing (IJNLC)
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
Seth Darren's insight:
Call for Papers - April Issue!!
International Journal on Natural Language Computing (IJNLC)
Over the years there has been ongoing interest in detecting authorship of a text based on statistical properties of the text, such as by using occurrence rates of noncontextual words. In previous work, these techniques have been used, for example, to determine authorship of all of The Federalist Papers. Such methods may be useful in more modern times to detect fake or AI authorship. Progress in statistical natural language parsers introduces the possibility of using grammatical structure to detect authorship. In this paper we explore a new possibility for detecting authorship using grammatical structural information extracted using a statistical natural language parser. This paper provides a proof of concept, testing author classification based on grammatical structure on a set of “proof texts,” The Federalist Papers and Sanditon which have been as test cases in previous authorship detection studies. Several features extracted from the statisticalnaturallanguage parserwere explored: all subtrees of some depth from any level; rooted subtrees of some depth, part of speech, and part of speech by level in the parse tree. It was found to be helpful to project the features into a lower dimensional space. Statistical experiments on these documents demonstrate that information from a statistical parser can, in fact, assist in distinguishing authors.
Seth Darren's insight:
**Published Article**
Document Author Classification using Parsed Language Structure
Todd K. Moon and Jacob H. Gunther, Utah State University, USA
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
Seth Darren's insight:
Call for Papers - April Issue!!
International Journal on Natural Language Computing (IJNLC)
Evaluation of Medium-Sized Language Models in German and English Language Rene Peinl and Johannes Wirth, Hof University of Applied Sciences, Germany
Full Text: https://aircconline.com/ijnlc/V13N1/13124ijnlc01.pdf =========================================== Performance, Energy Consumption and Costs: A Comparative Analysis of Automatic Text Classification Approaches in the Legal Domain Leonardo Rigutini1, Achille Globo1, Marco Stefanelli2, Andrea Zugarini1, Sinan Gultekin1, Marco Ernandes1, 1expert.ai spa, Italy, 2University of Siena, Italy
Full Text: https://aircconline.com/ijnlc/V13N1/13124ijnlc02.pdf =========================================== Rag-Fusion: A New Take on Retrieval Augmented Generation Zackary Rackauckas, Infineon Technologies, California
Full Text: https://aircconline.com/ijnlc/V13N1/13124ijnlc03.pdf =========================================== Document Author Classification using Parsed Language Structure Todd K. Moon and Jacob H. Gunther, Utah State University, USA
Full Text: https://aircconline.com/ijnlc/V13N1/13124ijnlc04.pdf =========================================== Improving Dialogue Management Through Data Optimization Miguel Ángel Medina-Ramírez, Cayetano Guerra-Artal and Mario HernándezTejera, University of Las Palmas de Gran Canarias, Spain
10th International Conference on Computer Science, Information Technology (CSITEC 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Engineering and Information Technology. The Conference looks for significant contributions to all major fields of the Computer Science, Engineering and Information Technology in theoretical and practical aspects.
Seth Darren's insight:
Submit Your Research Article!!!
10th International Conference on Computer Science, Information Technology (CSITEC 2024)
Volume 2 December 2013, Volume 2, Number 6 Hybrid Part-Of-Speech Tagger for Non-Vocalized Arabic TextFull Text Meryeme Hadni, Said Alaoui Ouatik, Abdelmonaime Lachkar and Mohammed Meknassi, Sidi Mohamed Ben Abdellah University, Morocco Robust Extended Tokenization Framework for Romanian by...
Seth Darren's insight:
Effect of MFCC Based Features for Speech Signal Alignments
Jang Bahadur Singh, Radhika Khanna and Parveen Lehana, University of Jammu, India
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