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)
Machine Transliteration has come out to be an emerging and a very important research area in the field of machine translation. Transliteration basically aims to preserve the phonological structure of words. Proper transliteration of name entities plays a very significant role in improving the quality of machine translation. In this paper we are doing machine transliteration for English-Punjabi language pair using rule based approach. We have constructed some rules for syllabification. Syllabification is the process to extract or separate the syllable from the words. In this we are calculating the probabilities for name entities (Proper names and location). For those words which do not come under the category of name entities, separate probabilities are being calculated by using relative frequency through a statistical machine translation toolkit known as MOSES. Using these probabilities we are transliterating our input text from English to Punjabi.
Seth Darren's insight:
***Published Article***
Rule Based Transliteration Scheme for English to Punjabi
Deepti Bhalla, Nisheeth Joshi and Iti Mathur, Banasthali University, India
Paper Submission Authors are invited to submit papers for this journal through Email: ijnlcjournal@airccse.org or ijnlc@aircconline.com or through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being...
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)
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)
11th International Conference on Artificial Intelligence and Applications (AIAPP 2024) is a forum for presenting new advances and research results in the fields of Artificial Intelligence. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. The scope of the conference covers all theoretical and practical aspects of the Artificial Intelligence forum for presenting new advances and research results in the fields of Artificial Intelligence.
Seth Darren's insight:
Submit your Research Article!!
11th International Conference on Artificial Intelligence and Applications (AIAPP 2024)
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)
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)
**Current Issue** February 2024, Volume 13, Number 1
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
Large language models (LLMs) have garnered significant attention, but the definition of “large” lacks clarity. This paper focuses on medium-sized language models (MLMs), defined as having at least six billion parameters but less than 100 billion. The study evaluates MLMs regarding zero-shot generative question answering, which requires models to provide elaborate answers without external document retrieval. The paper introduces an own test dataset and presents results from human evaluation. Results show that combining the best answers from different MLMs yielded an overall correct answer rate of 82.7% which is better than the 60.9% of ChatGPT. The best MLM achieved 71.8% and has 33B parameters, which highlights the importance of using appropriate training data for fine-tuning rather than solely relying on the number of parameters. More fine-grained feedback should be used to further improve the quality of answers. The open source community is quickly closing the gap to the best commercial models.
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)
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