Grammar Systems Research Articles

Grammatical Alliance in Malay Language: A Study of Linguistic Typology

This article is entitled Aliansi Gramatikal Na Lingua Melayu: Study of Linguistic Typology. This study of the Malay language's grammatical alliance aims to understand (1) the basic construction of clauses, (2) the construction of complex sentences, (3) the pivotal system, and (4) ultimately the definition of the grammar alliance system. This study uses the theory of language typology as the main theory proposed by Comrie. (1988). These research data are clauses and sentences. Qualitative descriptive. This approach aims to understand the existence of the overlap of different external and internal symptoms of the subject being the subject of the study. Data from the coordinative construction and subordinative construction of the Malay language typologically leads to the finding that in syntax, the Malay languages treat S equally with A, and give different treatment to P (S`=`A`≠ P). The Malay language is a group of languages that works with the S/A pivot system. A system of grammatical alliances such as this suggests that Malay is syntaxically a language of nominative-akusative type. Observing the behavior of S on the intransitive clause with the behaviour of A and P on the transitive clauses of Malay language which indicates that S is equal to A and equally equal with P, then morphologically Malay language has a tendency as a nominative-akusative language.

English Grammar Auto-Correction Robot based on Grammatical Error Generation Model

The traditional English grammar error correction system has problems such as poor error recognition precision and error correction success rate to be improved. Therefore, in this study, data augmentation techniques were used to transform and process error correcting English texts, and a rule-based and shallow neural network-based English text grammar correction model was constructed. The experimental results showed that the grammar error generation (GEG), rule-based (RB), classification-based (CB), and recurrent neural network (RNN) models achieved accuracy rates of 93.92%, 82.17%, 79.41%, and 88.09% in correcting grammar errors on 1702641 test sentences in the One Billion word corpus, respectively. The experimental results showed that the English grammar error correction model designed in this study had a strong error correction ability, but the computational efficiency was low. The research results significantly improved the accuracy and generalization ability of English grammar correction, optimized learning costs, and brought positive impacts to educational applications, providing strong support for the development of intelligent English grammar correction.

The Competition Model and Adult Second Language Learning: Cross-Language Similarity and L2 Morphosyntax Learning

Adult second language learners arrive at the language learning situation with an already formed first language grammar system in place. The study of cross-language similarity across the first and second languages explores how the similarities and differences in the two languages make learning more or less difficult, particularly for adult learners. From a Competition Model (MacWhinney, 1997) framework, the authors and their colleagues have conducted research examining the relationship between cross-language similarity and adult second language learning and processing with actual learners and in training paradigms with naïve learners; converging methodological approaches have been used (eye tracking, event related brain potentials, self- paced reading, and grammaticality judgments). We review these studies and describe the predictions derived from the Competition Model framework as a function of whether grammatical constructions are formed similarly or differently in the two languages or are unique to the second language. We conclude with a description of Brian MacWhinney’s influence on this body of research.

现代汉语介词“给”与印尼语 “untuk、kepada、oleh” 的比较

<p>The preposition word "给" is a hypothetical word widely used in modern Chinese. In Chinese grammar, the preposition word "给" has many meanings and the functions of using this word vary. Preposition words Indonesian, such as "for", "to", and "by" are similar to the preposition word "给" in modern Chinese. In this paper, we will analyze the Chinese preposition word "给" and the Indonesian preposition word "for", "to", and "by" to find out each of the functions of the word, so that we can also know the similarities and differences between them. And this can cause, Indonesian students who are learning Mandarin are confused and use it incorrectly. Indonesian students have been using their mother tongue since childhood before they learned Mandarin as their second language, so their mother tongue will definitely have an impact on learning Mandarin as the target language. For example, the order of words in sentences between the two is different, so Indonesian students in the process of learning the preposition word "给", they use it incorrectly. Therefore, for Chinese teachers, we should think about the following points in our teaching: First, as qualified Chinese teachers, we must first understand the difference between Chinese grammar system and Indonesian, so as to remind students to avoid bias at any time in teaching. Secondly, as a teacher, you must be clear about the difficulties and key points in teaching, and repeatedly explain these two points to strengthen students' impressions of these key points and the difficulties to avoid bias in the future. Of course, we must also choose comprehensive textbooks, and for the shortcomings in textbooks, teachers must try their best to make up for these shortcomings.</p>

OLD UKRAINIAN SLOVUTA AND «OLD EUROPEAN» HYDRONYMY

The paper offers a new etymology of the Old Ukrainian hydronym Slovuta and its derivational congeners Slovuticь and Slovutičь against the background of the non-Slavic equivalent Dъněprъ and the Greek transcriptions Δάναπρις and Βορυσϑένης. The proposed explication of OU Slovuta is undertaken in the context of research on «Old European» hydronymy as first introduced within Krahe’s school of thought. The author substantiates the origins of the derivative Slovuticь / Slovutičь in the historical paratactic construction Dъneprъ-Slovuticь. A comparison with other paratactic constructions shows that this derivative is a result of the historical substantivization of Slavic nouns used primarily in the attributive function. In place of its commonly accepted participial interpretation, the author treats the form Slovuta as an athematic denominative from PU *slov-ǫt-a continuing an earlier formation with the original meaning ‛the one who possesses the quality of *slov-’. The postulated base *slov- is characterized by onomatopoetic syncretism of both the sound of rinsing, washing, flowing (PIE *k̂leṷH-) and its perception (PIE *k̂leṷ-), while the termination -ā functions as a «noun class marker» designating a natural stream of fresh water. The author also argues that the underlying formation PIE *k̂leṷH-/ *k̂leṷ-ont-ā >*k̂leṷ(H)-ont-ā (> PS slov-ont-ā > PU slov-ǫt-ā > OU slov-ut-a) could have appeared in the early-inflecting «Old European» period in the formation of Indo-European, transitional from the active grammar type to the system of nominative-accusative grammar.

John Adams – the American Cicero? From the Genealogy of Res Publica Americana

When creating a new republic, the Foundings Fathers deemed it necessary to become well versed in the lessons of history, in order to avoid the fates of previous republics. Above all other historical corollaries, Americans evoked the example of the republican Rome that had upheld a system of government that aspired to ordered liberty as supported by a mixture of public civic virtue and effective institutional design for nearly five centuries. The comparisons were possible because the American colonies had kept the grammar school system of education then common in England, giving all educated Americans a basic grasp of Cicero’s reputation and writings, who represented eloquence, moral virtue and hostility towards tyranny. He thus became a source of inspiration for the Founders, and John Adams directly considered himself an American Cicero. In the article, the authors try to answer the question about the legitimacy of such a position of the 2nd President of the US. To do this, they compare the basic political categories of Cicero and Adams, pointing out their similarities and differences. They also examine to what extent Cicero’s thought could be applied to the reality of the young American republic.

Research on business English grammar detection system based on LSTM model

Abstract In order to solve the problems that the current English grammar correction algorithms are not effective, the error correction ability is limited, and the error correction accuracy needs to be improved, this study proposes an automatic grammar correction method for business English writing based on two-way long short-term memory (LSTM) and N-gram. First, this study considers article and preposition errors as a special sequence labeling task, and proposes a Grammar error checking (GEC) method for sequence labeling based on bidirectional LSTM. During training, english as a second language (ESL) corpus and supplementary corpus are used to label specific articles or prepositions. Second, for noun simple-plural errors, verb form errors, and subject-verb inconsistency errors, a large number of news corpora are used to count the frequency of N-gram, and a GEC method based on ESL and news corpora N-gram voting strategy is proposed. Experimental results show that the overall F 1 value of the method designed in this study on the GEC data of CoNLL2013 is 33.87%, which is higher than the F 1 value of UIUC. The F 1 value of article error correction is 38.05%, and the F 1 value of preposition error correction is 28.89%. It is proved that this method can effectively improve the accuracy of grammar error correction and solve the gradient explosion problem of traditional error correction model, which is of great significance to further strengthen the practicality of automatic grammar error correction technology.

MASTERY OF SPANISH MORPHOLOGY AND SYNTAX THROUGH E- LEARNING AMONG MALAYSIAN STUDENTS

This study explores the usage of e-learning via an interactive blog in assisting student’s morphology mastery and sentence construction in the Spanish language. Data presented in this study were gathered through 1) interviews with fifteen (15) students between 20 and 23 years old, who were registered in Spanish Communication Level 1 at Sultan Idris Education University, Malaysia, 2) questionnaire involving 45 students about the effectiveness of the blog as an e-learning platform, and 3) analysis of writing activities and evaluations in the blog and the classroom. The data were analysed using the descriptive-qualitative approach and supported by quantitative data. The findings indicated that the blog was viewed positively as a learning platform that provided out-of-classroom opportunities to learn the Spanish language. The usage of the blog helped elevate students’ knowledge in mastering vocabulary, understanding the grammar system, and constructing grammatical sentences. The findings can guide Spanish language instructors in preparing suitable and attractive teaching and e-learning activities that contribute towards the understanding and proficiency of students learning Spanish as a foreign language.

On the Notion of anabhihite in the Cāndra Grammar

Comparing the kāraka theory as presented in Pāṇiniʼs (ca. fifth-fourth century BC) and Candragominʼs (ca. fifth century AD) systems of grammar, Joshi and Roodbergen observed that in the Cāndrasūtra, the heading rule Pāṇ 2.3.1 (anabhihite), which plays an important role for all the kāraka rules, is missing. Deshpande, however, criticized their understanding. According to him, Patañjali (ca. second century BC), in his Mahābhāṣya, already dealt with the question of whether the general principle uktārthānām aprayogaḥ can justify the omission of this heading rule; under the influence of Patañjali, Candragomin took the position that it is not necessary to explicitly provide Pāṇ 2.3.1. The present paper revisits this issue on the basis of some newly edited Cāndra materials, the Cāndrapañjikā and the Śabdārthacintā, which were both written by the eminent Sinhalese grammarian Ratnamati or Ratnaśrījñāna (ca. tenth century AD). Ratna’s detailed explanation not only confirms that Deshpande’s assumption is correct, but it also clarifies that the problem pointed out by Pāṇinians in the case of the omission of Pāṇ 2.3.1 can be solved by resorting to the theory of the fivefold meaning of a nominal stem.

유형론적 관점에서 본 한국어 조사의 단어성

The purpose of this paper is to measure the wordhood of Korean Josa based on the typological research established in Choi(2021, 2022). As noted, there have been some views that consider Korean Josa as ‘syntactic affixes’ or ‘clitics’. What they have in common is that Korean Josa have phonological dependencies, but syntactically function as words. In this paper, I examined 44 Korean Josa on a 5-point scale according to the criteria for distinguishing between affixes and words proposed by Choi(2022), and found that the average score was 3.78, indicating a high degree of wordhood. The highest score is 4.18 and the lowest score is 3.45, so it is very important to note that none of them appears to be closer to affixes than words. Focusing on each Josa, using the school grammar system's classification of Josa, I could see that the average score is higher for ‘case marking’ than for ‘conjunctive’ or ‘adding special meaning’, but the difference is very small and negligible. In terms of criteria, I categorized them into semantic, syntactic, morphological, and phonological ones, and the scores decreased in this order. Only in the phonological criteria, affixhood scores are higher than wordhood score, which are due to the dependent nature of Korean Josa. The above results are sufficient to empirically prove that Korean Josa can be considered as words in a typological perspective.

조사 ‘의’의 의미와 실현/비실현

The purpose of this study is to find out the meaning function and characteristics of the Korean postpsition 'ui', and to understand the principle by which 'ui' is realized. 'ui' is currently classified as a determinative case marker in the grammar system, and because of its characteristics, it is also classified as a connective postpostion. The semantic function of 'ui' is described with a focus on interaction and relationship rather than the semantic properties of the two noun phrases. In addition, we looked at the aspects of realization and non-realization that appear in 'ui', and it was found that 'ui' is always realized when the meaning relationship between the preceding noun phrase and the following noun phrase is distant, and 'ui' is not realized when the semantic relationship is close.

Design and Application of Automatic English Translation Grammar Error Detection System based on BERT Machine Vision

Given the traditional handwritten English fonts, the accuracy of grammar error detection is unsatisfactory. This attribute leads to poor grammar error correction. Based on the optimized BERT machine vision model, an automatic English translation grammar error detection system is proposed in this paper. First, the basic architecture of the Transformer model and BERT model is considered, and a mixed attention module is discussed into the Transformer model to capture the features of the target in space and channel dimensions and realize the modeling of the context dependence of the target features. The feature maps are sampled by multiple parallel only if then cavity convolutions with different void rates to obtain multi-scale features and enhance local feature representation. Then, the input words of the BERT model are weighted by TFIDF to improve the feature extraction ability of the BERT model and construct the TF-BERT model. A database query rewriting model based on BERT and Transformer is proposed. The construction details of the model are described from the aspects of encoding processing, table embedding, and decoding processing respectively. Based on the principles of English translation, we extract grammatical features and build a grammar error detection method. TF-BERT model is selected as the basic framework. Combined with the hybrid attention mechanism, an automatic error correction model of English grammar is constructed. Finally, it is found that the loss value of the traditional system is as high as 0.7411, and the accuracy rate is 75%, while the loss value of the English grammar error detection system proposed in this paper is 0.2639, and the accuracy rate is 100%, which is 25% higher than that of the traditional system, and the performance is remarkable.

Machine Learning-based Grammar Correction System for Business English

Machine Learning-based Grammar Correction System for Business English

Dynamic decoding and dual synthetic data for automatic correction of grammar in low-resource scenario.

Grammar error correction systems are pivotal in the field of natural language processing (NLP), with a primary focus on identifying and correcting the grammatical integrity of written text. This is crucial for both language learning and formal communication. Recently, neural machine translation (NMT) has emerged as a promising approach in high demand. However, this approach faces significant challenges, particularly the scarcity of training data and the complexity of grammar error correction (GEC), especially for low-resource languages such as Indonesian. To address these challenges, we propose InSpelPoS, a confusion method that combines two synthetic data generation methods: the Inverted Spellchecker and Patterns+POS. Furthermore, we introduce an adapted seq2seq framework equipped with a dynamic decoding method and state-of-the-art Transformer-based neural language models to enhance the accuracy and efficiency of GEC. The dynamic decoding method is capable of navigating the complexities of GEC and correcting a wide range of errors, including contextual and grammatical errors. The proposed model leverages the contextual information of words and sentences to generate a corrected output. To assess the effectiveness of our proposed framework, we conducted experiments using synthetic data and compared its performance with existing GEC systems. The results demonstrate a significant improvement in the accuracy of Indonesian GEC compared to existing methods.

Graph rewriting primitives for semantic graph databases sanitization

Due to the rapid proliferation of data online, an important quantity of private or sensitive informations is being stored as linked data in graph databases (e.g., represented as RDF). For such databases to be shared without jeopardizing privacy, they must first undergo a process known as database sanitization. During this process, databases are transformed following graph transformations that are usually described informally or through ad-hoc processes. However, a more thourough formalization of these transformations would aid in analysing the sanitization process, ensuring its correctness, and demonstrating the resulting privacy guarantees. This paper is an effort toward bridging the gap between the rigorous graph rewriting approaches and graph sanitization. We propose a graph transformation language to serve as a basis for constructing various sanitization mechanisms. This language relies on a set of elementary transformation operators formalized using a generic algebraic graph rewriting approach. Our language takes into account semantic and supports the equivalent of WHERE and EXCEPT clauses. As a proof of concept, we use these operators to implement two mechanisms from the literature, one generic (Local Differential Privacy) and one specifically introduced for semantic graph databases (sensitive attribute masking through anatomization). We propose an open-sourced tool implementing the elementary operators and the privacy mechanisms we derive from them relying on the Attributed Graph Grammar System (AGG) and its java API, providing a concrete tool implementing formal graph rewriting mechanisms to sanitize semantic graph databases. We present experimental results on this implementation regarding both proposed schemes and discuss its efficiency and scalability.

Resumés in English from the perspective of multimodal discourse analysis

Resumés play a crucial role in individuals’ careers; hence how to create an eye-catching resumé is always a big concern. This article aims to discover discourse features of resumés in English from the perspective of Multimodal Discourse Analysis (MDA). It focuses on describing layout features, lexical choices, grammar features and the image-language relations in 50 English resumés based on the qualitative method. There are combinations of linguistic and visual elements in these resumés. The findings show five general layout sections in English resumés and four main patterns. This study indicates verbs, adjectives and compounds used in expressing ideas and rely on the transitivity system of Systemic Functional Grammar to analyze grammatical features. Additionally, three types of image-language relations are identified: Clarification, Exposition, Augmentation. It is expected that the results of this study can be useful for writing resumés in English as well as for teaching and learning English language.

Adoption of the tri-radical root system among Iberian Exegetes, acceptance and rejection. The case of Moses ibn Chiquitilla

This article looks at the role of formal grammatical analysis in the writings of Moses ibn Chiquitilla; tracing the adoption of triliteralism among grammarians in Iberia. One of the enduring difficulties of recounting a history of the major developments in the study of Hebrew grammar is the patchwork nature of the material available. With the availability of the Firkovitch collection at the Russian National Library (RNL), source material from the 11th-century grammarian, translator, and exegete, Moses ibn Chiquitilla, is now available. Of what little survives of Ibn Chiquitilla’s writings, a large portion of his biblical commentary on Psalms is preserved in one manuscript, Evr-Arab. I 3583 alongside smaller portions belonging to other libraries. In this article, I trace the development of debates among grammarians as portrayed in the writings of Ibn Chiquitilla. I reach the conclusion that among the circles of grammarians in Saragossa in the 11th and 12th centuries, Ibn Chiquitilla tends towards the opinions of Judah Ḥayyūj, accepting the theoretical underpinnings of his system of grammar. He rejects any except

Applying shape grammar and BIM for generating the mass modular housing design in ShanLiChenJia village, ZhaoYuan, China

ABSTRACTThis paper proposes a method for floor plan designs that combines shape grammar with Building Information Modeling (BIM) technology to create plan module libraries by using the mass modular housing project in ShanLiChenJia village as an example. The modular building is composed of several component modules, and shape grammar can manipulate their graphics and functions to enrich the combination relationship between component modules. The rule-making of the combination process can code the size relationship that affects the module form by adding space and size constraints. In the rule system of shape grammar, geometric dimensions, and functional attributes are first embedded in the shape graph. Then, the mapping relationship is established between the shape graph and the attributes of the modules. Finally, the BIM platform can establish the module library using Autodesk Revit. In addition, a spatial relationship in the scheme is selected in Revit software for generative experiments, which confirms the feasibility of shape grammar in generative design and spatial diversity of modular buildings.

Utilizing attributive patterns as a linguistic classification tool of newspapers

The indices for the classification of newspapers have often focused on agenda-setting roles, economic position and size of newspapers, among others. Concerning newspapers in Africa, Moehler and Singh (2011) and Hasty (2005) assert that the only index for the classification of newspapers is ownership. The study, therefore, focuses on the patterns of the attributive mode of the transitivity system of Systemic Functional Grammar to propose a linguistic alternative index for classifying newspapers. The findings indicate that the patterns of attributions that occur are significant and viable enough to classify newspapers.

The Construction of a Grammatical System for Japanese Linguistics in the Context of Big Data

Abstract This paper first outlines the concept of teaching Japanese grammar according to the Japanese language talent cultivation standard and the current dilemma in teaching Japanese language in colleges and universities. Secondly, on the basis of big data technology, considering the effective availability of the initial data of Japanese grammar, it is necessary to preprocess the language grammar learning data and, at the same time, according to the fuzzy comprehensive evaluation, determine the Japanese grammar evaluation affiliation function. Then, for the problem of an incomplete and inaccurate traditional fuzzy comprehensive evaluation, they proposed to construct a comprehensive evaluation model of the Japanese linguistics grammar system based on the bat algorithm and carried out research and analysis on the Japanese linguistics grammar system. The results show that on the evaluation model, the comprehensive evaluation score of the Japanese language grammar system is C=2.65, which belongs to the E2 level. On the statistical analysis, the mean value of all the scores of the concise class was higher than that of the standard Japanese class, and all of them showed significant differences (p=0.002, 0.000, and 0.047, all less than 0.05).