International Journal on Natural Language Computing最新文献

RBIPA: An Algorithm for Iterative Stemming of Tamil Language Texts 泰米尔语文本的迭代词干提取算法

International Journal on Natural Language Computing Pub Date : 2023-06-27 DOI: 10.5121/ijnlc.2023.12303

V. Indumathi, S. SanthanaMegala

引用次数: 0

TEXT SUMMARIZATION IN MONGOLIAN LANGUAGE 蒙古语文本摘要

International Journal on Natural Language Computing Pub Date : 2023-04-29 DOI: 10.5121/ijnlc.2023.12206

Chuluundorj Begz

引用次数: 0

SIMPLE SENTENCE IN A·WE a·we中的简单句

International Journal on Natural Language Computing Pub Date : 2023-04-29 DOI: 10.5121/ijnlc.2023.12208

Amanda Aski Macdonald Momin

{"title":"SIMPLE SENTENCE IN A·WE","authors":"Amanda Aski Macdonald Momin","doi":"10.5121/ijnlc.2023.12208","DOIUrl":"https://doi.org/10.5121/ijnlc.2023.12208","url":null,"abstract":"A·we is the standard variety of the A·chik language also known as A·chikku which is also commonly known as the Garo language. The Garo language belongs to the Tibeto-Burman branch of the Sino-Tibetan language family. Since Syntax involves arranging words to create logical phrases, clauses, and sentences, simple sentence is an important part of syntax and thus knowing about the simple sentence in A·we forms the basis of writing correct sentences in this variety of the Garo language. Noam Chomsky, the famous Linguist used the phrase, “ colorless green ideas sleep furiously’ in his book, Syntactic Structures (1957) as an example of a sentence which is syntactically and grammatically correct because it has the correct word order and the verb is consistent with the subject but is semantically incorrect. Chomsky (1957) thus illustrates that the rules governing syntax are different from the meaning conveyed by words. We can observe that there are subject and predicate in a simple sentence in language, which is the same for A·we. It is not essential that a simple sentence must be a short sentence and it is also possible to write a simple sentence if there is only one predicate used with a number of subjects to make a long sentence. Such sentences are still called a simple sentence. In this paper, we will discuss some classification of simple sentence in A·we which will further contribute to the study of syntax in A·we as well as aid in constructing proper sentences in the language.","PeriodicalId":179392,"journal":{"name":"International Journal on Natural Language Computing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129558026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

LEXIS AND SYNTAX OF MEDICINE PRODUCT WARNINGS IN THE PHILIPPINES 菲律宾药品警告的词汇和句法

International Journal on Natural Language Computing Pub Date : 2023-04-29 DOI: 10.5121/ijnlc.2023.12204

Shielanie Soriano Dacumos

引用次数: 0

Understanding Chinese Moral Stories with Further Pre-Training 通过进一步的预训练理解中国的道德故事

International Journal on Natural Language Computing Pub Date : 2023-04-29 DOI: 10.5121/ijnlc.2023.12201

Jing Qian, Yong Yue, Katie Atkinson, Gangmin Li

{"title":"Understanding Chinese Moral Stories with Further Pre-Training","authors":"Jing Qian, Yong Yue, Katie Atkinson, Gangmin Li","doi":"10.5121/ijnlc.2023.12201","DOIUrl":"https://doi.org/10.5121/ijnlc.2023.12201","url":null,"abstract":"The goal of moral understanding is to grasp the theoretical concepts embedded in a narrative by delving beyond the concrete occurrences and dynamic personas. Specifically, the narrative is compacted into a single statement without involving any characters within the original text, necessitating a more astute language model that can comprehend connotative morality and exhibit commonsense reasoning. The “pretraining + fine-tuning” paradigm is widely embraced in neural language models. In this paper, we propose an intermediary phase to establish an improved paradigm of “pre-training + further pre-training + finetuning”. Further pre-training generally refers to continual learning on task-specific or domain-relevant corpora before being applied to target tasks, which aims at bridging the gap in data distribution between the phases of pre-training and fine-tuning. Our work is based on a Chinese dataset named STORAL-ZH that composes of 4k human-written story-moral pairs. Furthermore, we design a two-step process of domain-adaptive pre-training in the intermediary phase. The first step depends on a newly-collected Chinese dataset of Confucian moral culture. And the second step bases on the Chinese version of a frequently-used commonsense knowledge graph (i.e. ATOMIC) to enrich the backbone model with inferential knowledge besides morality. By comparison with several advanced models including BERTbase, RoBERTa-base and T5-base, experimental results on two understanding tasks demonstrate the effectiveness of our proposed three-phase paradigm.","PeriodicalId":179392,"journal":{"name":"International Journal on Natural Language Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129786233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

NEW TRENDS IN LESS-RESOURCED LANGUAGE PROCESSING: CASE OF AMAZIGH LANGUAGE 资源较少的语言处理的新趋势:以惊人语言为例

International Journal on Natural Language Computing Pub Date : 2023-04-29 DOI: 10.5121/ijnlc.2023.12207

Fadoua ATAA ALLAH, S. Boulaknadel

{"title":"NEW TRENDS IN LESS-RESOURCED LANGUAGE PROCESSING: CASE OF AMAZIGH LANGUAGE","authors":"Fadoua ATAA ALLAH, S. Boulaknadel","doi":"10.5121/ijnlc.2023.12207","DOIUrl":"https://doi.org/10.5121/ijnlc.2023.12207","url":null,"abstract":"The coronavirus (COVID-19) pandemic has dramatically changed lifestyles in much of the world. It forced people to profoundly review their relationships and interactions with digital technologies. Nevertheless, people prefer using these technologies in their favorite languages. Unfortunately, most languages are considered even as low or less-resourced, and they do not have the potential to keep up with the new needs. Therefore, this study explores how this kind of languages, mainly the Amazigh, will behave in the wholly digital environment, and what to expect for new trends. Contrary to last decades, the research gap of low and less-resourced languages is continually reducing. Nonetheless, the literature review exploration unveils the need for innovative research to review their informatization roadmap, while rethinking, in a valuable way, people’s behaviors in this increasingly changing environment. Through this work, we will try first to introduce the technology access challenges, and explain how natural language processing contributes to their overcoming. Then, we will give an overview of existing studies and research related to under and less-resourced languages’ informatization, with an emphasis on the Amazigh language. After, based on these studies and the agile revolution, a new roadmap will be presented.","PeriodicalId":179392,"journal":{"name":"International Journal on Natural Language Computing","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114400630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Robust Joint-Training Graph Neural Networks Model for Event Detection with Symmetry and Asymmetry Noisylabels 一种具有对称和不对称噪声标签的鲁棒联合训练图神经网络模型

International Journal on Natural Language Computing Pub Date : 2023-04-29 DOI: 10.5121/ijnlc.2023.12209

Mingxiang Li, Huang Xing, Tengyun Wang, Jiaxuan Dai, Kaiming Xiao

{"title":"A Robust Joint-Training Graph Neural Networks Model for Event Detection with Symmetry and Asymmetry Noisylabels","authors":"Mingxiang Li, Huang Xing, Tengyun Wang, Jiaxuan Dai, Kaiming Xiao","doi":"10.5121/ijnlc.2023.12209","DOIUrl":"https://doi.org/10.5121/ijnlc.2023.12209","url":null,"abstract":"Events are the core element of information in descriptive corpus. Although many progresses have beenmade in Event Detection (ED), it is still a challenge in Natural Language Processing (NLP) to detect event information from data with unavoidable noisy labels. A robust Joint-training Graph ConvolutionNetworks (JT-GCN) model is proposed to meet the challenge of ED tasks with noisy labels in this paper. Specifically, we first employ two Graph Convolution Networks with Edge Enhancement (EE-GCN) tomake predictions simultaneously. A joint loss combining the detection loss and the contrast loss fromtwonetworks is then calculated for training. Meanwhile, a small-loss selection mechanism is introduced tomitigate the impact of mislabeled samples in networks training process. These two networks gradually reach an agreement on the ED tasks as joint-training progresses. Corrupted data with label noise are generated from the benchmark dataset ACE2005. Experiments on ED tasks has been conducted with bothsymmetry and asymmetry label noise on dif erent level. The experimental results show that the proposedmodel is robust to the impact of label noise and superior to the state-of-the-art models for EDtasks.","PeriodicalId":179392,"journal":{"name":"International Journal on Natural Language Computing","volume":"148 1-2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114034124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Location-based Sentiment Analysis of 2019 Nigeria Presidential Election using a Voting Ensemble Approach 基于投票集合方法的2019年尼日利亚总统选举位置情绪分析

International Journal on Natural Language Computing Pub Date : 2023-02-27 DOI: 10.5121/ijnlc.2023.12101

I. Onyenwe, Samuel N. C. Nwagbo, Ebele Onyedinma Onyedinma, Onyedika Ikechukwu-Onyenwe Onyenwe, Chidinma A. Nwafor, Obinna Agbata

{"title":"Location-based Sentiment Analysis of 2019 Nigeria Presidential Election using a Voting Ensemble Approach","authors":"I. Onyenwe, Samuel N. C. Nwagbo, Ebele Onyedinma Onyedinma, Onyedika Ikechukwu-Onyenwe Onyenwe, Chidinma A. Nwafor, Obinna Agbata","doi":"10.5121/ijnlc.2023.12101","DOIUrl":"https://doi.org/10.5121/ijnlc.2023.12101","url":null,"abstract":"Nigeria president Buhari defeated his closest rival Atiku Abubakar by over 3 million votes. He was issued a Certificate of Return and was sworn in on 29 May 2019. However, there were claims of widespread hoax by the opposition. The sentiment analysis captures the opinions of the masses over social media for global events. In this paper, we use 2019 Nigeria presidential election tweets to perform sentiment analysis through the application of a voting ensemble approach (VEA) in which the predictions from multiple techniques are combined to find the best polarity of a tweet (sentence). This is to determine public views on the 2019 Nigeria Presidential elections and compare them with actual election results. Our sentiment analysis experiment is focused on location-based viewpoints where we used Twitter location data. For this experiment, we live-streamed Nigeria 2019 election tweets via Twitter API to create tweets dataset of 583816 size, pre-processed the data, and applied VEA by utilizing three different Sentiment Classifiers to obtain the choicest polarity of a given tweet. Furthermore, we segmented our tweets dataset into Nigerian states and geopolitical zones, then plotted state-wise and geopolitical-wise user sentiments towards Buhari and Atiku and their political parties. The overall objective of the use of states/geopolitical zones is to evaluate the similarity between the sentiment of location-based tweets compared to actual election results. The results reveal that whereas there are election outcomes that coincide with the sentiment expressed on Twitter social media in most cases as shown by the polarity scores of different locations, there are also some election results where our location analysis similarity test failed.","PeriodicalId":179392,"journal":{"name":"International Journal on Natural Language Computing","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130356659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Contrastive Study of the Negation Morphemes ( English, Kurdish and Arabic) 英语、库尔德语和阿拉伯语否定语素对比研究

International Journal on Natural Language Computing Pub Date : 2022-10-31 DOI: 10.5121/ijnlc.2022.11504

Safia Zivingi

{"title":"A Contrastive Study of the Negation Morphemes ( English, Kurdish and Arabic)","authors":"Safia Zivingi","doi":"10.5121/ijnlc.2022.11504","DOIUrl":"https://doi.org/10.5121/ijnlc.2022.11504","url":null,"abstract":"This paper is studying the problems facing languages (English, Kurdish, and Arabic) due to the lack of symmetry between the negation morphemes in these languages, which differ in their numbers, the specifics of their uses, and the multiplicity of their meanings, at the two levels: general language and science terms. The negation morphemes in the Arabic and Kurdish languages are located at the beginning of the word as prefixes. That is, neither of them has infixes or suffixes that indicate the negative (morphologically), that is, at the level of the word or the lexical unit, and are grammatically at the level of the sentence. These negation morphemes may enter the middle of the sentence in Kurdish, but in Arabic, the negation morphemes are located at the forefront of the sentence. Most of the negation affixes in English are also prefixes, and a few are the suffixes denoting negation, the most prominent of which is (-less); English is also devoid of negation infixes. The lack of equivalence between the negation morphemes between quantitative and qualitative languages leads to chaos and disorder when transferred between languages. This necessitates the need to establish rules regulating the work of these multiple morphemes for the function of negation, at morphological structure, syntactic, semantic features, and the nature of their uses, at the level of the language itself, and at the level of contrastive between the sending and receiving languages.","PeriodicalId":179392,"journal":{"name":"International Journal on Natural Language Computing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131117883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Learning Chess and NIM with Transformers 用变形金刚学习国际象棋和NIM

International Journal on Natural Language Computing Pub Date : 2022-10-31 DOI: 10.5121/ijnlc.2022.11501

Michael Deleo, Erhan Guven

引用次数: 1