Syntactic Patterns Research Articles

A Stacking Ensemble Based on Lexicon and Machine Learning Methods for the Sentiment Analysis of Tweets

Sentiment is employed in various fields, such as collecting web-based opinions for the formulation of governmental policies, measuring employee and customer satisfaction levels in business organizations, and measuring the sentiment of the public in political and security matters. The field has recently faced new challenges since algorithms must operate with highly unstructured sentiment data from social media. In this study, the authors present a new stacking ensemble method that combines the lexicon-based approach with machine learning algorithms to improve the sentiment analysis of tweets. Due to the complexity of the text with very ill-defined syntactic and grammatical patterns, using lexicon-based techniques to extract sentiment from the content is proposed. On the same note, the contextual and nuanced aspects of sentiment are inferred through machine learning algorithms. A sophisticated bat algorithm that uses an Elman network as a meta-classifier is then employed to classify the extracted features accurately. Substantial evidence from three datasets that are readily available for public analysis re-affirms the improvements this innovative approach brings to sentiment classification.

Linguistic, Aesthetic And Cultural Aspects Of Translating Literary Texts (Arabic-English): A Model For Translation Pedagogy

The main aim of this paper is to explore the different linguistic, aesthetic, and cultural aspects of literary translation. The paper examines the various features of literary translation at both macro and micro levels. It focuses on those features of literary texts that are characteristic of literary works. First, we follow the standard linguistic paradigm in the discussion of literary translation, including phonology, morphology, syntax, semantics, and the aesthetic and cultural features of literary texts. The qualitative method is used to explore the various features of literary translation to identify the recurring linguistic and literary devices lacking systematic forms and patterns to find a comparable genre-specific form in the target language. The model proposed consists of five stages: (1) Retention of sound devices, (2) Retention of syntactic patterns, (3) Retention of semantic features, (4) Retention of figurative language, and (5) Retention of the cultural aspects. The model is a descriptive model for analyzing literary translation procedures and can be used as a pedagogical model for translation practice. Findings show that employing this model would offer translation students new insights to describe challenging linguistic, aesthetic, and cultural features in the source texts to think of some practical solutions for translating literary works.

A Linguistic Analysis of two Versatile Verbs "qaťa'a" and "šarf" in the Glorious Qur'an with Reference to Their Realizations in English

This study investigates the different morphological patterns, syntactic structures and meanings of the versatile verbs "قطع" and "صرف ". This study analyses these verbs linguistically, providing a holistic view of their usage and versatility within Qur'anic texts. A qualitative approach is used to analyze data. This study aims to investigate the influence of the context on the morphological forms, the syntactic patterns and different meanings of these verbs. Furthermore, it aims to investigate how the translators transfer the linguistic characteristics of these verbs into English. To achieve the aims of the study, the researcher adopts an eclectic model. Accordingly, two verbs are chosen as the study sample. The main findings of this are as follows: firstly, the verb "قطع" is considered versatile due to its meanings only; it has different meanings with fixed syntactic structure (it is transitive in all the selected' Ayahs). The verb "صرف" is considered versatile in accordance with its meanings and syntactic structures; that is, it has different meanings and syntactic structures. Secondly, all the different meanings are considered polysemous senses of the same selected roots. Thirdly, the context is the most influential factor that makes these verbs versatile. Finally, concerning the renderings of the selected Arabic verbs into the TL, it is concluded that sometimes translators have taken the context into account and have rendered some of these verbs into the equivalently TL. Some other times, they do not render these verbs equally.

Exploring the Construction of Angela Merkel's Identity by Global Print Media across International Platforms

This study is an attempt to observe and analyze the intricate operations of media discourses in the identity construction of “world leader” i.e. Angela Merkel. It highlights that how through the explicit and implicit discourse layers’ construction, the macro and micro semantic structures are created in a newspaper, for portraying the desired positive or negative image of a world leader. The theoretical framework has been structured over the basics of the Van Dijk’s (1980) The Theory of Semantic Macrostructures. The macro- level analysis focuses the core themes and main propositions publicized in the selected data. The micro-level analysis concentrates on the lexicalization and syntactic patterns employed by media experts in creating the larger positive image as world leader through smaller level discourse language constructions, focusing her social and political posterities. Furthermore, the study highlights the gradually constructed personal, social and political identities’ portrayal of Angela Merkel as a powerful world leader, through the world newspaper articles discourse and discursive practices.

A Corpus-Driven Study of Syntactic And Semantic Models of Transitivized English Intransitive Verbs

Transitivized English intransitive verbs, abbreviated as transitivized EIVs in the present study, refer to the English intransitive verbs which are transitively used taking direct objects as normal transitive verbs do. This study aims to systematically explore their syntactic and semantic patterns through a specialized corpus with 585 instances of 211 transitivized EIVs from the EIV corpus and approximately 97,000 words from the instances of 210 transitivized EIVs from the Corpus of Contemporary American English. To code the syntactic and semantic patterns of transitivized EIVs, conventional lexical and phrasal categories as well as the Ideal Motion Event Category were employed. The results of investigation indicate that the transitivized EIVs feature three major syntactic patterns: “EIVs + NP/Pron. + Zero”, “EIVs + NP/Pron. + meaning-supplementing expressions” and “EIVs + one’s way + Prep.-Phr.” while their semantic patterns are governed by law: The basic semantic pattern of the transitivized EIVs is the cause sense, but with its weakening or backgrounding, the other semantic patterns take the stage involving the sense combination of cause and manner, the sense of manner or the sense of abstract motion. This study offers a relatively comprehensive landscape of the linguistic phenomenon of transitivized EIVs and is believed capable of facilitating a better understanding of EIVs, thereby flexible and appropriate use of EIVs in intercultural communication.

A Comparative Analysis of the Combinatorial Properties of Chinese Measure Words and Arabic Classifiers

This comparative analysis investigates the combinatorial properties of Chinese noun measure words and Arabic classifiers exploring their semantic syntactic and cultural aspects. Chinese measure words are integral to quantifying nouns exhibiting diverse semantic alignments and syntactic patterns. In contrast, Arabic classifiers fulfill a similar role but with distinct structural variations influenced by grammatical gender and number agreement. By juxtaposing these linguistic elements, this study unveils both commonalities and disparities, offering insights into the intricate ways languages encode quantification. Through this comparative examination, we gain a nuanced understanding of linguistic diversity and cultural nuances inherent in Chinese and Arabic, enriching our comprehension of language structure and cross-linguistic communication.

PREDICATIVE POSITION OF ADJECTIVES IN ENGLISH AND THEIR EQUIVALENTS WHEN TRANSLATING INTO ALBANIAN

Predicative adjectives play a crucial role in language by providing additional information about the subject of a sentence. This paper explores the significance and characteristics of predicative adjectives in linguistic analysis. The paper examines the syntactic structures and patterns governing the translation of predicative adjectives from English into Albanian language. Through a comparative analysis, this paper investigates how syntactic differences between the two languages influence the placement and construction of predicative adjectives in Albanian language sentences. Furthermore, the paper explores the impact of word order, agreement, and syntactic hierarchy on the translation process. Drawing on linguistic theories and principles, this research clarifies the syntactic adjustments required to maintain grammatical coherence and preserve the intended meaning when rendering predicative adjectives into Albanian. Predicative adjectives in English typically exhibit a relatively minor difference from Albanian translation, with exceptions found among adjectives whose predicative only usage is specific to the English language. Adjectives falling into this category necessitate substantial adjustments during translation, often resulting in their representation not solely as adjectives but also as nouns, verbs, or adverbs within the translated context. By shedding light on the syntactic complexities of translation, this paper contributes to a deeper understanding of the challenges and strategies involved in conveying predicative adjectives across linguistic boundaries.

Staying terminologically rigid, conceptually open and socially cohesive

Abstract When he introduced the framework now known as Construction Grammar, Charles Fillmore said: “Grammatical Construction Theory differs from […] other frameworks […] in its insistence that syntactic patterns are often tightly associated with interpretation instructions” (Fillmore 1989: 17). Construction Grammarians view the patterns, the associations and the interpretive instructionsas a matter of linguistic convention-a fact not generally appreciated within the wider cognitive-functional community that embraces Construction Grammar, In CxG, we do not use general principles to explain the existence of the form-function pairs we encounter in a language, but rather treat those as the product of lexical and constructional licensing (Zwicky 1994). But emergentists and stipulators share one core belief: grammatical structure is inherently symbolic. Sign-Based Construction Grammar (SBCG) makes this insight formally explicit by treating constructions as licensors of signs-signs that are phrases, lexemes or words-and allowing for semantic and usage constraints to be directly associated with constructions. But practitioners of Construction Grammar might reasonably reject the SBCG formalism as incompatible with major foundations of constructional thinking: the top-down nature of constructional meaning, the idiomaticity continuum and the narrow scope of linguistic generalizations. My task in this article is to address this concern, illustrating a variety of applications.

Multi-Derivational Parsing of Vague Languages- The New Paradigm of Syntactic Pattern Recognition.

The new paradigm of syntactic pattern recognition, SPR, which uses multi-derivational parsing of vague languages is introduced in the paper. The methodology proposed addresses the issue of the recognition of vague/distorted patterns which is one of the important open problems in the area. The concept of the vague language of patterns and the efficient parsing method based on the class of dynamically programmed grammars are introduced. A vague language is defined with vague primitives which are vectors of "neighboring" primitives associated with measures of distance, probability, fuzziness, etc. The use of vague primitives allows us to identify b best structural templates during multi-derivational parsing that can be used for getting more adequate final result. The generic architecture of SPR system based on the approach proposed together with the system's applications for short-term electrical load forecasting and for analysis of ultrasound images in order to diagnose congenital defects of fetal palates are presented. The results of the experimental studies are discussed.

Des premières priorités, un hasard imprévu, applaudir des deux mains, découvrir pour la première fois … ou des phrasèmes pléonastiques en français et en polonais contemporains

In this article, we present a comparative study of approximately hundred pleonastic collocational phrasemes in French, created through three specific syntactic patterns: N+Adj / Adj+N or N de/à N and V+Adv, and their Polish equivalents. We attempt to explain the semantic mechanisms of pleonasm construction. Some of these pleonasms are due to the speakers' ignorance or thoughtlessness, making them incorrect and to be avoided in official language. Others are intentional and useful, as they add additional value such as emphasis or intensity, precision and explanation to the meaning of the constructed phrasemes. The componential analysis we propose as a method of analysis, demonstrates either a semantic congruence, that is a useful correlation between the sememes of the components of pleonastic phrasemes, or excessive and useless addition. In other words, it allows us to verify whether the redundancy of meaning has any utility or is perfectly superfluous.

Experimental Methodologies. A Corpus-Based Approach

On the basis of data, we analyse two different pairs of syntactic patterns, the so called dative alternation and particle placement of transitive phrasal verbs. Although it has sometimes been argued that only experimental data can contribute to studies of priming, the analysis shows that (a) the corpus-based results for datives are very similar to the experimental ones; (b) priming is also obtained for the verb particle construction, a construction hitherto not explored in the priming literature and (c), most importantly, in line with much previous psycholinguistic and corpus linguistic work, priming effects turn out to be strongly verb-specific such that some verbs are much more resistant or responsive to priming than others. As a variety of studies has shown, speakers tend to repeat syntactic structures they have just encountered (produced or comprehended) before.

Identifying symptom etiologies using syntactic patterns and large language models

Differential diagnosis is a crucial aspect of medical practice, as it guides clinicians to accurate diagnoses and effective treatment plans. Traditional resources, such as medical books and services like UpToDate, are constrained by manual curation, potentially missing out on novel or less common findings. This paper introduces and analyzes two novel methods to mine etiologies from scientific literature. The first method employs a traditional Natural Language Processing (NLP) approach based on syntactic patterns. By using a novel application of human-guided pattern bootstrapping patterns are derived quickly, and symptom etiologies are extracted with significant coverage. The second method utilizes generative models, specifically GPT-4, coupled with a fact verification pipeline, marking a pioneering application of generative techniques in etiology extraction. Analyzing this second method shows that while it is highly precise, it offers lesser coverage compared to the syntactic approach. Importantly, combining both methodologies yields synergistic outcomes, enhancing the depth and reliability of etiology mining.

Colour terms and intensifying constructions in Italian

This investigation proposes a corpus-based description of Italian intensifying constructions including colour terms. Colour terms may be employed as intensification markers in intensifying colour constructions, i.e., ready-made syntactic patterns containing colour terms that have an intensifying function. The paper aims at identifying and classifying different patterns of Italian intensifying colour constructions using syntactic/semantic parameters. These constructions can convey different types and degrees of intensified meanings and can be arranged along an intensification cline. Taking into account data gathered from the ITTenTen16 corpus, the analysis identifies the abstract semantic schemata underlying intensifying colour constructions (e.g., the metonymic/metaphoric scale association), and explores the relation between colour terms and schemata, in terms of degrees of lexicalisation/constructionalisation and pattern productivity.

A rudimentary analogy-based model of how syntactic constructions emerge from linguistic experience

AbstractThis paper highlights theoretical issues in construction grammar and presents a simple computational language model as a preliminary solution to these issues. The specific issues dealt with are the lack of explicit definition of syntactic categories and the lack of explicit proposals regarding how constructions can be learned from linguistic experience. The proposed language model, called the “analogical path model”, learns two-word syntactic patterns from sentences by finding distributional analogies between word pairs. The theoretical relevance and implications of the analogical path model are discussed at the end of the paper.

An NLP-Based Exploration of Variance in Student Writing and Syntax: Implications for Automated Writing Evaluation

In writing assessment, expert human evaluators ideally judge individual essays with attention to variance among writers’ syntactic patterns. There are many ways to compose text successfully or less successfully. For automated writing evaluation (AWE) systems to provide accurate assessment and relevant feedback, they must be able to consider similar kinds of variance. The current study employed natural language processing (NLP) to explore variance in syntactic complexity and sophistication across clusters characterized in a large corpus (n = 36,207) of middle school and high school argumentative essays. Using NLP tools, k-means clustering, and discriminant function analysis (DFA), we observed that student writers employed four distinct syntactic patterns: (1) familiar and descriptive language, (2) consistently simple noun phrases, (3) variably complex noun phrases, and (4) moderate complexity with less familiar language. Importantly, each pattern spanned the full range of writing quality; there were no syntactic patterns consistently evaluated as “good” or “bad”. These findings support the need for nuanced approaches in automated writing assessment while informing ways that AWE can participate in that process. Future AWE research can and should explore similar variability across other detectable elements of writing (e.g., vocabulary, cohesion, discursive cues, and sentiment) via diverse modeling methods.

Serial Verb Construction in Sundanese

This study aims to analyze the construction of serial verbs in Sundanese using the X-bar theory. Data sourced from written Sundanese as the main data and spoken data as supporting data. The method used in this study is a descriptive qualitative method using the X-Bar theory introduced by Noam Chomsky. The results of the analysis show that the Sundanese serial verb construction (BS) has three constructions namely coordinate KVS, incoative KVS, and configurational KVS. Based on the structure of its construction, Sundanese as a language that is typologically classified as an SVO language. The construction of serial verbs in the BS has typological characteristics of a verb-framed language. In terms of syntactic structure, Sundanese serial verbs can have the X-KOMP or X-ADJ structure. These findings contribute to our understanding of serial verb constructions in Sundanese by delineating specific syntactic patterns and typological characteristics unique to the language. The implications of these findings extend to broader language studies, offering insights into the syntactic behaviors of SVO languages and providing practical applications for language preservation and educational frameworks.

Minha Terra Tem ____________: Patterns of Text Reuse in “Song of Exile” and its Intertexts

A foundational text of Brazilian Romanticism, Antônio Gonçalves Dias’s “Canção do Exílio,” written in Coimbra (1843) and published in Niterói (1846), is uniquely positioned as Brazil’s most imitated poem. Based on a data set of 500 intertexts spanning the years 1846-2015, this study contemplates the nature of textual borrowing found in the poem’s variations. Looking beyond words shared across texts to the syntactic patterns at play, this paper defines and discusses in detail the concept of Syntactic Templates, develops an algorithm for their identification and considers their utility for understanding this specific text reuse problem.

Syntactical Pattern of News Headlines in The Jakarta Post and The Diplomat Reporting The 2024 Indonesian Presidential Election

<p class="8Abstractcontent">The research discussed the syntactical pattern in news headlines between two different-country background news report channels, The Jakarta Post and The Diplomat reporting the same case, that was Indonesian Election 2024. The data source consists of twenty different news titles from both channels published on June 6, 2023. A qualitative approach with a descriptive analysis is used in this research. The Syntax underlying tree pattern by Van Valin et al (1997) serves as the framework for this research. The research findings showed that it was found that the Indonesian channel, Jakarta Post, have all sentential headline pattern in their ten news with nine simple sentences and one complex sentence, while The Diplomat which is from America, have eight sentential headlines and two phrased pattern from their ten news with simple sentence form at all headlines.</p>

Expressing cause and effect in hard and soft scientific discourse

This study is a quantitative and qualitative analysis of the use of cause and effect expressions in two corpora that comprise research articles in four hard and four soft disciplines, selected to represent a broad cross-section of academic discourse. Linguistic expressions of cause/effect are hypothesised to deviate in hard and soft sciences, and the differences pertain not only to key lexical categories but also to syntactic patterns. With the ultimate goal of facilitating practitioners of ESP (English for Specific Purposes) and EAP (English for Academic Purposes) to produce discipline-specific materials, which can effectively address the needs of learners of different sciences, this study investigates the productivity of lexical units, representative of cause/effect expressions in hard and soft scientific disciplines, as identified in the Louvain EAP Dictionary, as well as the main grammatical patterns where the former are attested. This paper shows that cause expressions are more common in soft sciences, while the expressions of effect are used in similar proportion in the two categories. As for lexical strategies, soft sciences tend to use more nouns to express cause/effect, while hard sciences rely on prepositions and conjunctions to a larger extent.

Approach to automating the construction and completion of ontologies in a scientific subject field

Domain ontologies facilitate the organization, sharing, and reuse of subject areas. Building a software ontology is labor-intensive and time-consuming. In the process of obtaining a software ontology, it is required to analyze a huge number of scientific publications relevant to the software being modeled. The process of ontology replenishing with information from a huge number of scientific publications can be facilitated and accelerated through the use of lexical-syntactic patterns of ontological design. In this paper, we consider the possibility of automated construction of scientific subject area ontologies based on a heterogeneous patterns system of ontological design. This system includes ontological design patterns and is intended for ontology developers. System also includes automatically built lexical and syntactic patterns, which help to automatic replenishment of the ontology with information extracted from natural language texts.