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Journal articles on the topic 'Semantic lexicons'

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1

Ni, Wayan Sukarini, and Made Suryati Ni. "Lexicon Variations on Traditional Weaving." International Journal of Current Science Research and Review 07, no. 11 (2024): 8598–604. https://doi.org/10.5281/zenodo.14220323.

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Abstract : The research entitled Lexicon Variation on Traditional Weaving is a qualitative research focusses on the analysis of the semantic function of the lexicon process.  The focus of the analysis is formulated on two problems (1) types of lexicons weaving and (2) function and meaning of lexicon weaving. Observation and interview methods are applied for the data collection. Observation method is realized with interviewing the weavers when they do weave activity in the workshop. At the same time the owner of the weaving industry who is as the key informant is also interviewed. Unstruct
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Viegas, Evelyne. "The Propagation of Core Lexicons Using On-line Language Resources and Savoir Faire." International Journal of Corpus Linguistics 5, no. 2 (2000): 133–45. http://dx.doi.org/10.1075/ijcl.5.2.03vie.

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In this article, we discuss methodologies to extend computational semantic lexicons in a cost effective way using on-line language resources and savoir faire. First, we introduce the ecology of computational semantic lexicon acquisition, presenting two main methodologies: thesaurus-driven versus corpus-driven. Second, we describe an experiment to extend a semantics-based core lexicon with paradigmatic relations and predict the syntactic behavior of verbs based on their semantics; the automatically derived subcategorizations are first checked against corpora and then manually filtered. These le
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Urešová, Zdeňka, Eva Fučíková, Eva Hajičová, and Jan Hajič. "Meaning and Semantic Roles in CzEngClass Lexicon." Journal of Linguistics/Jazykovedný casopis 70, no. 2 (2019): 403–11. http://dx.doi.org/10.2478/jazcas-2019-0069.

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Abstract This paper focuses on Semantic Roles, an important component of studies in lexical semantics, as they are captured as part of a bilingual (Czech-English) synonym lexicon called CzEngClass. This lexicon builds upon the existing valency lexicons included within the framework of the annotation of the various Prague Dependency Treebanks. The present analysis of Semantic Roles is being approached from the Functional Generative Description point of view and supported by the textual evidence taken specifically from the Prague Czech-English Dependency Treebank.
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Nabu, Andiani Rezkita. "Semantic Prosody Analysis of 'Talking a lot' Words." Al-Lisan 5, no. 2 (2020): 182–99. http://dx.doi.org/10.30603/al.v6i2.1343.

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Due to sentence formation, the lexicon choice appears as a crucial phase of writing. Moreover, it is caused by the emptiness of words set that are perfectly synonymous and can be interchangeable. In order that it leads the needed for meaning, sense, and evocative value identification in the choice of the lexicon. Furthermore, the main objective of this research is to examine the value (sense) of several lexicons, which means 'talking a lot' such as talkative, loquacious, chatty, gossipy, garrulous, talky, and conversational, by using cognitive-linguistic and corpus linguistic approaches. In th
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Yang, Ai Min, Jiang Hao Lin, Yong Mei Zhou, and Jin Chen. "Research on Building a Chinese Sentiment Lexicon Based on SO-PMI." Applied Mechanics and Materials 263-266 (December 2012): 1688–93. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.1688.

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Considering user behavior, this paper has built a Chinese sentiment lexicon based on improved SO-PMI algorithm. Sematic lexicons were used to classify the sentiment of the collected Chinese hotel reviews. The experiment has compared the feature extraction between CHI and sentiment lexicons to find out different classification performances. The results indicate that feature extraction based on sentiment lexicon gains higher F1. The performance of classification method “Basic Semantic Lexicon + BOOL + NB” gains 92.40% of F1. Based on different sentiment lexicons, the experimental results shows t
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Koponen, Ismo, and Ilona Södervik. "Lexicons of Key Terms in Scholarly Texts and Their Disciplinary Differences: From Quantum Semantics Construction to Relative-Entropy-Based Comparisons." Entropy 24, no. 8 (2022): 1058. http://dx.doi.org/10.3390/e24081058.

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Complex networks are often used to analyze written text and reports by rendering texts in the form of a semantic network, forming a lexicon of words or key terms. Many existing methods to construct lexicons are based on counting word co-occurrences, having the advantage of simplicity and ease of applicability. Here, we use a quantum semantics approach to generalize such methods, allowing us to model the entanglement of terms and words. We show how quantum semantics can be applied to reveal disciplinary differences in the use of key terms by analyzing 12 scholarly texts that represent the diffe
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Chen, Yao, and Rong Zhou. "The Mental Lexicon Features of the Hakka-Mandarin Dialect Bilingual." Brain Sciences 12, no. 12 (2022): 1629. http://dx.doi.org/10.3390/brainsci12121629.

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The current study investigated the mental lexicon features of the Hakka-Mandarin dialect bilingual from two perspectives: the structural features of lexicons and the relations between lexicons. Experiment one used a semantic fluency task and complex-network analysis to observe the structural features of lexicons. Experiment two used a cross-language long-term repetition priming paradigm to explore the relations between lexicons, with three sub-experiments focusing on conceptual representation, lexical representation, and their relations, respectively. The results from experiment one showed tha
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Aso, La. "THE MEANING OF THE VERB “TO SOUND” IN MUNA LANGUAGE: NATURAL SEMANTIC METALANGUAGE." RETORIKA: Jurnal Ilmu Bahasa 3, no. 2 (2017): 265–70. http://dx.doi.org/10.22225/jr.3.2.336.265-270.

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 This paper aims at investigating the variations of lexicon having meaning of “produce of sound” in Muna language based on natural semantics metalanguage. The data collecting was done by participant speaking and scrutinize methods through interview and noting techniques. It was analyzed by using natural semantics metalanguage (NSM), an approach to investigate various lexicons with principle “one form for one meaning and one meaning for one form”. Based on the result of this study founded that meaning of “produce of sound” of Muna can be expressed by a number of lexicons and each
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Sudipa, I. Nengah. "Balinese Emotion Lexicons: A Natural Semantic Metalanguage Approach." International Journal on Linguistics of Sumatra and Malay 1, no. 1 (2022): 16–22. http://dx.doi.org/10.32734/ijlsm.v1i1.10568.

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Academics are always interested in debating the study of emotions across cultures and languages. This is due to the diverse ways that emotions can be expressed in different contexts and situations in each language and culture. This article aims to discuss the meaning of Balinese Lexicons dealing with emotions. The theory applied is Natural Semantic Metalanguage (NSM) with two at once approaches, namely mapping and explication. The results showed that there is something good happened, represented by the lexicons: demen, kendel, and lédang, and something bad happened: sebet, inguh, and gedeg. Th
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Richie, Russell. "Functionalism in the lexicon." New Questions for the Next Decade 11, no. 3 (2016): 429–66. http://dx.doi.org/10.1075/ml.11.3.05ric.

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Why do languages have the words they have, and not some other set of words? While certainly there is some arbitrariness in the lexicon (English ‘frog’ vs. Spanish ‘rana’), there is just as surely some systematicity or functionality in it as well. What exactly might the nature of this systematicity or functionality be? For example, might the lexicon be efficiently adapted for communication, learning, memory storage, retrieval, or other cognitive functions? This paper critically reviews evidence that natural language lexicons efficiently carve up semantic fields (e.g., color, space, kinship) and
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Rohani, Tri, and Safnil Arsyad. "SEMANTIC ANALYSIS OF FIGURATIVE LANGUAGE EXPRESSIONS IN “FEATURE” OF THE JAKARTA POST." JOALL (Journal of Applied Linguistics & Literature) 1, no. 1 (2018): 97–114. http://dx.doi.org/10.33369/joall.v3i1.6168.

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This study aims at investigating the types of figurative lexicons and the types of meaning of figurative lexicons found in “feature” of The Jakarta Post’s December editions. The methodology of the research used descriptive qualitative content analysis. The findings related to research questions showed that there were thirteen types of figurative lexicons found in “feature” of The Jakarta Post and the most dominant type of figurative lexicon found was simile while for the types of meanings of figurative lexicons found in “feature” of The Jakarta Post, it was found that there were seven types of
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Thompson, C. "Acquiring Word-Meaning Mappings for Natural Language Interfaces." Journal of Artificial Intelligence Research 18 (January 1, 2003): 1–44. http://dx.doi.org/10.1613/jair.1063.

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This paper focuses on a system, WOLFIE (WOrd Learning From Interpreted Examples), that acquires a semantic lexicon from a corpus of sentences paired with semantic representations. The lexicon learned consists of phrases paired with meaning representations. WOLFIE is part of an integrated system that learns to transform sentences into representations such as logical database queries. Experimental results are presented demonstrating WOLFIE's ability to learn useful lexicons for a database interface in four different natural languages. The usefulness of the lexicons learned by WOLFIE are compared
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Faruqui, Manaal, Ryan McDonald, and Radu Soricut. "Morpho-syntactic Lexicon Generation Using Graph-based Semi-supervised Learning." Transactions of the Association for Computational Linguistics 4 (December 2016): 1–16. http://dx.doi.org/10.1162/tacl_a_00079.

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Morpho-syntactic lexicons provide information about the morphological and syntactic roles of words in a language. Such lexicons are not available for all languages and even when available, their coverage can be limited. We present a graph-based semi-supervised learning method that uses the morphological, syntactic and semantic relations between words to automatically construct wide coverage lexicons from small seed sets. Our method is language-independent, and we show that we can expand a 1000 word seed lexicon to more than 100 times its size with high quality for 11 languages. In addition, th
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Sudipa, I. Nengah, Ni Made Suryati, Luh Putu Laksminy, and I. Ketut Jirnaya. "The Semantic Structures Of Balinese Verb: Mabersih ‘To Clean’ Conveying Profane- Sacred Values." International Journal of Linguistics 10, no. 4 (2018): 43. http://dx.doi.org/10.5296/ijl.v10i4.13508.

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There are a number of lexicons relating to the meaning of to clean translated into mabersih or nelain in Balinese language. The fact shows that such lexicons are not only used to express the daily routine activities in Bali-Indonesia, but also to accommodate various values. This article aims at describing the semantic structures of Balinese verbs in order to find out the profane and sacred values. The data was taken from daily conversations and Balinese texts as the written data. The oral data was collected through interview and the written ones by observation and note-taking. The collected da
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Liu, Haoyan, Lei Fang, Jian-Guang Lou, and Zhoujun Li. "Leveraging Web Semantic Knowledge in Word Representation Learning." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 6746–53. http://dx.doi.org/10.1609/aaai.v33i01.33016746.

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Much recent work focuses on leveraging semantic lexicons like WordNet to enhance word representation learning (WRL) and achieves promising performance on many NLP tasks. However, most existing methods might have limitations because they require high-quality, manually created, semantic lexicons or linguistic structures. In this paper, we propose to leverage semantic knowledge automatically mined from web structured data to enhance WRL. We first construct a semantic similarity graph, which is referred as semantic knowledge, based on a large collection of semantic lists extracted from the web usi
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Peirsman, Yves, and Sebastian Padó. "Semantic relations in bilingual lexicons." ACM Transactions on Speech and Language Processing 8, no. 2 (2011): 1–21. http://dx.doi.org/10.1145/2050100.2050102.

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17

Khoo, Christopher SG, and Sathik Basha Johnkhan. "Lexicon-based sentiment analysis: Comparative evaluation of six sentiment lexicons." Journal of Information Science 44, no. 4 (2017): 491–511. http://dx.doi.org/10.1177/0165551517703514.

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This article introduces a new general-purpose sentiment lexicon called WKWSCI Sentiment Lexicon and compares it with five existing lexicons: Hu & Liu Opinion Lexicon, Multi-perspective Question Answering (MPQA) Subjectivity Lexicon, General Inquirer, National Research Council Canada (NRC) Word-Sentiment Association Lexicon and Semantic Orientation Calculator (SO-CAL) lexicon. The effectiveness of the sentiment lexicons for sentiment categorisation at the document level and sentence level was evaluated using an Amazon product review data set and a news headlines data set. WKWSCI, MPQA, Hu &
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18

RILOFF, ELLEN, and JESSICA SHEPHERD. "A corpus-based bootstrapping algorithm for Semi-Automated semantic lexicon construction." Natural Language Engineering 5, no. 2 (1999): 147–56. http://dx.doi.org/10.1017/s1351324999002235.

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Many applications need a lexicon that represents semantic information but acquiring lexical information is time consuming. We present a corpus-based bootstrapping algorithm that assists users in creating domain-specific semantic lexicons quickly. Our algorithm uses a representative text corpus for the domain and a small set of ‘seed words’ that belong to a semantic class of interest. The algorithm hypothesizes new words that are also likely to belong to the semantic class because they occur in the same contexts as the seed words. The best hypotheses are added to the seed word list dynamically,
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Rahardian, Ema. "STRUKTUR SEMANTIS VERBA AKTIVITAS GIGI DALAM BAHASA JAWA: KAJIAN METABAHASA SEMANTIK ALAMI." Widyaparwa 49, no. 1 (2021): 41–55. http://dx.doi.org/10.26499/wdprw.v49i1.783.

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Javanese teeth activity is interested to be analyzed. It is because the Javanese language has various lexicons to express teeth activity. This paper aims to explore the semantic structure of Javanese teeth activity by using the theory of natural semantic metalanguage (NSM). The data used in this paper are taken from The Bausastra Jawa dictionary as well as data created by the researcher as a native Javanese speaker. The technique of data analysis in this study consists of four steps, namely determining the semantic primitive, deriving meaning, determining polysemy, dan paraphrasing the meaning
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George Louis Raja, A., F. Sagayaraj Francis, and P. Sugumar. "Construction of Lexicons to Perk Up Re-Clustering." Asian Journal of Computer Science and Technology 7, no. 3 (2018): 82–85. http://dx.doi.org/10.51983/ajcst-2018.7.3.1891.

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The existing semantic methods cluster the documents based on unabridged or abridged term comparisons. After clustering, these terms are not preserved, costing the cluster operation to be repeated in its entirety upon the arrival of new documents. Hence the semantic clustering methods can be considered as “on the go” methods. Re-clustering becomes unavoidable in all circumstances both in the Iterative and Incremental Clustering Methods. It would be more appropriate to build and evolve a lexicon with the derived keywords of the documents and to refer them in further cluster operations. The ratio
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Meilawati, Avi, and Emi Nursanti. "IDENTIFIKASI KESALAHAN TERHADAP HASIL TERJEMAHAN MESIN BAHASA INGGRIS KE BAHASA JAWA: KAJIAN SEMANTIK." Diksi 26, no. 2 (2019): 88–92. http://dx.doi.org/10.21831/diksi.v26i2.25446.

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Abstract (Title: Identification of Errors on English Engineering Translation Results to Java Language: Semantic Study). This study uses linguistic principles to study the results of English to Javanese translations using an online translation engine. In particular, this study aims to identify translation errors and study them from a semantic perspective. Data is obtained by entering ten thousand samples of English sentences into the Google Translator translation engine which are then analyzed qualitatively. Analysis is focused on the level of words and phrases. The results of the study show fo
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Jonnalagadda, Siddhartha, Trevor Cohen, Stephen Wu, Hongfang Liu, and Graciela Gonzalez. "Using Empirically Constructed Lexical Resources for Named Entity Recognition." Biomedical Informatics Insights 6s1 (January 2013): BII.S11664. http://dx.doi.org/10.4137/bii.s11664.

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Because of privacy concerns and the expense involved in creating an annotated corpus, the existing small-annotated corpora might not have sufficient examples for learning to statistically extract all the named-entities precisely. In this work, we evaluate what value may lie in automatically generated features based on distributional semantics when using machine-learning named entity recognition (NER). The features we generated and experimented with include n-nearest words, support vector machine (SVM)-regions, and term clustering, all of which are considered distributional semantic features. T
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Yan, Muheng, Yu-Ru Lin, Rebecca Hwa, Ali Mert Ertugrul, Meiqi Guo, and Wen-Ting Chung. "MimicProp: Learning to Incorporate Lexicon Knowledge into Distributed Word Representation for Social Media Analysis." Proceedings of the International AAAI Conference on Web and Social Media 14 (May 26, 2020): 738–49. http://dx.doi.org/10.1609/icwsm.v14i1.7339.

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Lexicon-based methods and word embeddings are the two widely used approaches for analyzing texts in social media. The choice of an approach can have a significant impact on the reliability of the text analysis. For example, lexicons provide manually curated, domain-specific attributes about a limited set of words, while word embeddings learn to encode some loose semantic interpretations for a much broader set of words. Text analysis can benefit from a representation that offers both the broad coverage of word embeddings and the domain knowledge of lexicons. This paper presents MimicProp, a new
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Ardiantari, Desak Putu Salshabila. "Natural Semantic Metalanguage Analysis of English Speech Act Verb ‘Inform’." International Journal of Language and Literature 7, no. 2 (2023): 107–13. http://dx.doi.org/10.23887/ijll.v7i2.47339.

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Generally, every language has a lexicon that is grouped into classified verbs. Each verb can be broken down into some specific subtypes. Particularly in English, verbs are semantically divided into several subtypes. Verbs such as tell, ask, inform, offer, forgive, and others are belonging to the types of verbs of speech or speech acts. This study aims to analyze natural semantic metalanguage analysis of English speech act verb of inform. In collecting data is using observational method. Therefore, the theory of natural semantic metalanguage (NSM) is used to analyze the data taken from the Amer
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McGREGOR, Karla, Natalie MUNRO, Su Mei CHEN, Elise BAKER, and Jacob OLESON. "Cultural influences on the developing semantic lexicon." Journal of Child Language 45, no. 6 (2018): 1309–36. http://dx.doi.org/10.1017/s0305000918000211.

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AbstractTo determine whether the developing semantic lexicon varies with culture, we examined the animal and food naming of children from three communities distinguished by language, cultural heritage, and population density. The children were five- and seven-year-olds from Australia (n = 197), Taiwan (n = 456), and the US (n = 172). Naming patterns revealed hierarchical and flexible organization of the semantic lexicon. The content of the lexicon, particularly food names, varied with cultural heritage. In all three communities, wild mammals were predominant during animal naming, a likely infl
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Takwa, Burhanuddin Arafah, Kaharuddin, Eko Putra, Masrur, and Azhariah Nur B. Arafah. "The Shift of Lexicon in Traditional Technology System in Tolaki Community at Konawe District of Southeast Sulawesi." Theory and Practice in Language Studies 12, no. 5 (2022): 980–89. http://dx.doi.org/10.17507/tpls.1205.20.

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This research discusses the lexicon used for traditional technology systems in the Tolaki community. Lexicon is a language component containing information about the meaning and usage of words, the richness of words a language has. Lexicon runs into a shift due to certain factors such as changes in norms, culture, and environment and the development of science and technology. The level of shift and the change in the meaning of the lexicon for traditional technology systems in Tolaki community, Konawe Regency, Southeast Sulawesi are analyzed with the method of qualitative descriptive analysis.
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Imamura, T., A. Yamadori, M. Aoki, R. Mochizuki, and K. Kogure. "A selective Impairment in the Phonological Output Lexicon." Behavioural Neurology 6, no. 1 (1993): 37–41. http://dx.doi.org/10.1155/1993/824043.

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It has been proposed that words are stored in a functional structure which consists of a semantic system and modality-specific input and output lexicons. We report a patient with disturbed word finding for given letters, but not for specific categories. The patient had difficulty in phonological similarity judgements of pictures, but performed normally on semantic similarity judgements. We conclude that this patient's impairments stemmed from a disturbance restricted to the subsystem for active judgement and selection of representations in the phonological output lexicon.
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Aditya, Bima Haddad, and Nur Fateah. "Makna Leksikal dan Kultural Kearifan Lokal dari Leksikon Permainan Layangan di Kabupaten Demak: Kajian Semantik." Jurnal Bahasa dan Sastra 13, no. 2 (2025): 334. https://doi.org/10.24036/jbs.v13i2.133379.

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This study examines the lexical and cultural meanings of the lexicon of kite games in Demak Regency. This research discusses the threat of a decline in the use of Javanese lexicon in kite games which is influenced by several factors such as shifting lifestyles, and the existence of playing fields. This research uses descriptive qualitative approach with semantic theoretical method. Data sources come from researcher observations and interviews. Data were collected through participatory observation and in-depth interviews by six kite activists aged 23-84 years in several villages in Demak Regenc
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Emeliana Tai. "Khazanah Leksikon Ke-Pena-An dalam Bahasa Dawan Malaka." BLAZE : Jurnal Bahasa dan Sastra dalam Pendidikan Linguistik dan Pengembangan 2, no. 4 (2024): 152–76. https://doi.org/10.59841/blaze.v2i4.1968.

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Indonesia is a country that is nicknamed as an archipelagic country which is rich in identity in the form of various cultures, ethnicities, and traditions. Each region has its own characteristics that can be seen in its cultural system, as well as the Dawan Language Speech Guyub raises two problem formulations related to ecolinguistics, namely the grammatical categories of lexicons of subject in Dawan language, the dimensions of the social praxis function of the Ke -an in Dawan Malaka language. Purpose To analyze the grammatical categories of lexicons of pen in Dawan Malaka language. Analyzing
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Swarniti, Ni Wayan. "The Meaning of The Verb 'Destroy' in the Balinese Language: A Natural Semantic Meta Language Approach." Humanis 25, no. 3 (2021): 292. http://dx.doi.org/10.24843/jh.2021.v25.i03.p05.

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This research focused on the discussion about the analysis of the lexicon of the verb 'destroy' in the Balinese language. The data of this research are taken from some verbs in one meaning field with the verb 'destroy' which is found in the Balinese language. After the data collected, the data are analyzed based on the entities, the tools the manners which are related to the lexicons of the verb 'destroy'. Then, the findings of the research are presented descriptively. Based on the analysis, the lexicons in the Balinese language which have the same meaning field with the verb 'destroy' are Nge
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Rizka, Budi, and Zainuddin Zainuddin. "LEXICAL CHANGE WITH REFERENCE TO SOCIAL CONTACT AMONG THE SPEAKERS OF PASE DIALECT." Lingua Didaktika: Jurnal Bahasa dan Pembelajaran Bahasa 10, no. 1 (2016): 1. http://dx.doi.org/10.24036/ld.v10i1.6296.

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The aims of this study were to analyze the types, the patterns of lexical change with reference to social contact among the speakers of Pase dialect. The subjects of the study were personal documents written in Pase dialect as available in Language Department of Aceh. From the research, 505 lexicons were found, where 154 lexicons underwent loss. The percentage of lexical loss of noun was 75.32%, adjective 12.34%, and verb 12.34%. The number of lexical borrowings was 177 lexicons. The percentage of lexical borrowing of noun was 78.53%, adjective 15.25%, verb 5.09%, and adverb 1.13%. In phonolog
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Phu, Vo Ngoc, Vo Thi Ngoc Tran, Vo Thi Ngoc Chau, Dat Nguyen Duy, and Khanh Ly Doan Duy. "Semantic lexicons of English nouns for classification." Evolving Systems 10, no. 3 (2017): 501–65. http://dx.doi.org/10.1007/s12530-017-9188-6.

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Qohar, Hasan Nur Wakhidul, and Nur Fateah. "Cerminan Kearifan Lokal dalam Leksikon Kerajinan Keramik pada Masyarakat Pengrajin Keramik Desa Klampok, Kabupaten Banjarnegara." Jurnal Bahasa dan Sastra 12, no. 2 (2024): 236. http://dx.doi.org/10.24036/jbs.v12i2.128334.

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This study examines the typical lexicon and its meanings in Banjarnegara ceramic crafts, as well as the local wisdom reflected in this tradition. The research addresses the changes in ceramic production over time, including equipment, production conditions, and socio-economic factors, which pose threats to both the craft and its associated language. Using qualitative descriptive methods, data was collected through library study, observation, and interviews with ceramic craftsmen. The study analyzes monomorphemic, polymorphemic, and word combination lexicons related to the manufacturing process
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Sudipa, I. Nengah. "HOW TO TRANSLATE AN ACTION VERB PROVIDE INTO BAHASA INDONESIA THROUGH THE NATURAL SEMANTIC METALANGUAGE." Lingual: Journal of Language and Culture 6, no. 2 (2019): 8. http://dx.doi.org/10.24843/ljlc.2018.v06.i02.p02.

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 This study is aimed at mapping the meaning of action verb provide and its translation in Indonesian lexicons. The data sources of this study are two Colours Magazines of Garuda Indonesia, May 2017 and March 2018 editions. In colleting the data, this study applied the observation method and note taking technique. Those data were analyzed using Natural Semantic Metalanguage (NSM) approach proposed by Anna Wierzbicka (1996). Furthermore, the method of analyzing data was descriptive qualitative method. First, each of the data was analyzed to find its meaning configuration. Th
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Bon, Mija, and Polona Gantar. "Levels of Annotation in the Slovene Training Corpus ssj500k 2.2." Journal of Linguistics/Jazykovedný casopis 70, no. 2 (2019): 390–99. http://dx.doi.org/10.2478/jazcas-2019-0068.

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Abstract This paper presents the Slovene Training Corpus ssj500k 2.2, which has been annotated on the levels of tokenization, sentence segmentation, part-of-speech tagging, lemmatization, syntactic dependencies, named entities, verbal multi-word expressions, and semantic role labeling. It describes the individual layers of annotation and shows the scope of using the training corpus in the production of various lexicons, such as the lexicon of multi-word units and the valency lexicon of modern Slovene. It concludes by presenting our future work, i.e. the annotation of multi-word expressions bas
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SHIRO, Martha, Erika HOFF, and Krystal M. RIBOT. "Cultural differences in the content of child talk: evaluative lexis of English monolingual and Spanish–English bilingual 30-month-olds." Journal of Child Language 47, no. 4 (2020): 844–69. http://dx.doi.org/10.1017/s0305000919000990.

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AbstractWe examined the size, content, and use of evaluative lexis by 26 English monolingual and 20 Spanish–English bilingual 30-month-old children in interaction with their mothers. We extracted the evaluative words, defined as words referring to cognition, volition, or emotion. Controlling for overall vocabulary skills as measured by the MacArthur-Bates inventories, monolinguals had a larger evaluative lexicon than the bilinguals’ Spanish evaluative lexicon, but no difference was found between monolinguals’ and bilinguals’ English evaluative lexicons. There were differences between the monol
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Umar, Umar. "The Meaning Difference of Lexicon “Sakit” in Bimanese: A Semantic Perspective." e-Journal of Linguistics 14, no. 1 (2020): 71. http://dx.doi.org/10.24843/e-jl.2020.v14.i01.p08.

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The current study attempts to describe the lexicon “sakit” in Bimanese used by Mbojo ethnic group in daily communication and analyze the meaning difference from the semantic perspective. The research applied descriptive qualitative method of analysis and the data were collected by using fishbowl, recording, and note taking technique. Based on the data analysis the findings reveal that thirteen lexicons “sakit“ are used by Mbojo ethnic group in daily communication including supu [supu], hengge [hengge], sari’i [sari’i], rambo [rambo], mbalo [mbalo], mancoro [mancoro], kantero [kantero], duha [d
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Mohamed, Ensaf Hussein, Mohammed ElSaid Moussa, and Mohamed Hassan Haggag. "An Enhanced Sentiment Analysis Framework Based on Pre-Trained Word Embedding." International Journal of Computational Intelligence and Applications 19, no. 04 (2020): 2050031. http://dx.doi.org/10.1142/s1469026820500315.

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Sentiment analysis (SA) is a technique that lets people in different fields such as business, economy, research, government, and politics to know about people’s opinions, which greatly affects the process of decision-making. SA techniques are classified into: lexicon-based techniques, machine learning techniques, and a hybrid between both approaches. Each approach has its limitations and drawbacks, the machine learning approach depends on manual feature extraction, lexicon-based approach relies on sentiment lexicons that are usually unscalable, unreliable, and manually annotated by human exper
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Yordania, Brenzila Rendy, and Nur Fateah. "Makna Leksikal, Makna Kultural, dan Kearifan Lokal dalam Leksikon Peternakan Sapi Perah di Kecamatan Cepogo, Kabupaten Boyolali." Stilistika: Jurnal Pendidikan Bahasa dan Sastra 17, no. 2 (2024): 147–68. http://dx.doi.org/10.30651/st.v17i2.22718.

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ABSTRAK Setiap bidang pekerjaan biasanya memiliki leksikon khusus yang sering digunakan, termasuk dalam peternakan sapi perah. Penelitian ini bertujuan untuk menganalis makna leksikal, makna kultural, dan kearifan lokal dari leksikon yang berkaitan dengan peternakan sapi perah menggunakan teori dari Abdul Chaer dengan pendekatan semantik serta teori dari Robert Sibarani dengan pendekatan antropolinguistik. Metode yang digunakan adalah metode deskriptif kualitatif. Sumber data pada penelitian ini adalah masyarakat di Kecamatan Cepogo, Kabupaten Boyolali yang berprofesi sebagai peternak sebanyak
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Hayashi, Yoshihiko, Bora Savas, Monica Monachini, Claudia Soria, and Nicoletta Calzolari. "LMF-aware Web services for accessing semantic lexicons." Language Resources and Evaluation 46, no. 2 (2012): 253–64. http://dx.doi.org/10.1007/s10579-012-9181-4.

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Serrano-Guerrero, Jesus, Bashar Alshouha, Francisco P. Romero, and Jose A. Olivas. "Affective Knowledge-enhanced Emotion Detection in Arabic Language: A Comparative Study." JUCS - Journal of Universal Computer Science 28, no. 7 (2022): 733–57. http://dx.doi.org/10.3897/jucs.72590.

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Online opinions/reviews contain a lot of sentiments and emotions that can be very useful, especially, for Internet suppliers which can know whether their services/products are meeting their customers’ expectations or not. To detect these sentiments and emotions, most applications resort to lexicon-based approaches. The major issue here is that most well-known emotion lexicons have been developed for English language; nevertheless, in other languages such as Arabic, there are fewer available tools, and many times, the quality of them is poor. The goal of this study is to compare the p
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Gu, Wentao, Linghong Zhang, Houjiao Xi, and Suhao Zheng. "Stock Prediction Based on News Text Analysis." Journal of Advanced Computational Intelligence and Intelligent Informatics 25, no. 5 (2021): 581–91. http://dx.doi.org/10.20965/jaciii.2021.p0581.

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With the vigorous development of information technology, the textual data of financial news have grown massively, and this ever-rich online news information can influence investors’ decision-making behavior, which affects the stock market. Thus, online news is an important factor affecting market volatility. Quantifying the sentiment of news media and applying it to stock-market prediction has become a popular research topic. In this study, a financial news sentiment lexicon and an auxiliary lexicon applicable to the financial field are constructed, and a sentiment index (SI) is constructed by
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Serrano-Guerrero, Jesus, Bashar Alshouha, Francisco P. Romero, and Jose A. Olivas. "Affective Knowledge-enhanced Emotion Detection in Arabic Language: A Comparative Study." JUCS - Journal of Universal Computer Science 28, no. (7) (2022): 733–57. https://doi.org/10.3897/jucs.72590.

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Online opinions/reviews contain a lot of sentiments and emotions that can be very useful, especially, for Internet suppliers which can know whether their services/products are meeting their customers’ expectations or not. To detect these sentiments and emotions, most applications resort to lexicon-based approaches. The major issue here is that most well-known emotion lexicons have been developed for English language; nevertheless, in other languages such as Arabic, there are fewer available tools, and many times, the quality of them is poor.The goal of this study is to compare the perfor
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Pontoh, Manzhuur Daanisy Ahmad Thaahir, and Assa Rahmawati Kabul. "KATA SERAPAN DARI BAHASA HAKKA DALAM LEKSIKON BAHASA INDONESIA." SEMIOTIKA: Jurnal Ilmu Sastra dan Linguistik 24, no. 1 (2023): 118. http://dx.doi.org/10.19184/semiotika.v24i1.31095.

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Indonesian language borrowed heavily from languages spoken inside Indonesian territory. The borrowing is caused by language contact between Malay (and now Indonesian) and other languages, including several Sinitic languages that have been spoken for centuries in Indonesia. Hakka Chinese is one of the largest Sinitic languages in Indonesia by the number of speakers, therefore borrowing from Hakka Chinese in Indonesian is bound to happen. The aim of this research is to find borrowings from Hakka Chinese in Indonesian lexicon, also to find semantic changes in those borrowings. Methods in finding
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Lyle, Kristopher. "BENEFITS OF A PRINCIPLED ANALYSIS OF BIBLICAL HEBREW PREPOSITIONS." Journal for Semitics 24, no. 2 (2017): 403–26. http://dx.doi.org/10.25159/1013-8471/3460.

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As Biblical Hebrew studies have become more attuned to the explanatory power accompanying modern linguistic theory, some theoretical pitfalls of standard lexicons have become more apparent. Specifically within the realm of lexicology, it has been demonstrated that current frameworks, such as cognitive semantics, can bring a great deal of theoretical muscle into semantic endeavours. This article applies a methodology based on such advances and shows the benefits of a principled analysis of BH prepositions, with עִם and אֵת as examples. In the end, a replicable investigation is rendered that car
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Netra, I. Made. "Pattrens of NSM Syntax of Semantic Primitives Prototypes in the Fields of Custom and Religion in Bali." Udayana Journal of Social Sciences and Humanities (UJoSSH) 1, no. 1 (2017): 80. http://dx.doi.org/10.24843/ujossh.2017.v01.i01.p13.

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 Efforts in documenting variations and clusterrs of Balinese lexicons, particularly in the fields of custom and religion, have been gradually made. The patterns of NSM syntax of prototypes of semantic primitives were thoroughly examined. Thus, an example of the use of the lexicon that represents each prototype of semantic primitives was made to complete the list of the lexicon previously studied.Therefore, NSM dictionary on prototypes of semantic primitives can be easily come into being.Data were obtained by the methods of participative observation, during which the techniq
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Indah, Rohmani Nur. "Perception and Lexicon Labeling Ability on a Child with Language Delay Diagnosed As Autistic Spectrum Disorder: A Psycholinguistic Study." Register Journal 4, no. 1 (2016): 19. http://dx.doi.org/10.18326/rgt.v4i1.19-40.

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This research focuses on the semantics acquisition of a child with language delay diagnosed as autistic spectrum disorder (ASD). The research problem is on how the child acquired the ability to comprehend meaning. It aims at answering the questions on how the child identified lexical meanings and how he labeled targeted lexicons of his first language. The approach employed in this research is descriptive qualitative to get adequate explanation on a specific language phenomenon, namely semantics acquisition. Its design is case study with the type neo-ethnographic. As the data collection method,
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Dai, Ying. "Representing Images' Meanings by Associative Values with Given Lexicons Considering the Semantic Tolerance Relation." Advances in Multimedia 2011 (2011): 1–10. http://dx.doi.org/10.1155/2011/786427.

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An approach of representing meanings of images based on associative values with lexicons is proposed. For this, the semantic tolerance relation model (STRM) that reflects the tolerance degree between defined lexicons is generated, and two factors of semantic relevance (SR) and visual similarity (VS) are involved in generating associative values. Furthermore, the algorithm of calculating associative values using pixel-based bidirectional associative memories (BAMs) in combination with the STRM, which is easy in implementation, is depicted. The experiment results of multilexicons-based retrieval
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Li, Xiuyu. "Verbal vocabulary as a means of expressing interpersonal relations in Russian and Chinese." Litera, no. 4 (April 2024): 80–88. http://dx.doi.org/10.25136/2409-8698.2024.4.70345.

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The subject of the study is the semantic and functional features of the lexico-semantic group of verbs denoting interpersonal relations in the Russian and Chinese languages. The verbal vocabulary representing the category of relationship describes the relationships that arise between people in the form of feelings, judgments and appeals to each other in the course of everyday life. The purpose of the proposed article is to identify the semantic and functional features of the verbs of the lexico-semantic group of interpersonal relations in the system of Russian and Chinese languages. The study
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ZHANG, Qi, Xi-Peng QIU, Xuan-Jing HUANG, and Li-De WU. "Learning Semantic Lexicons Using Graph Mutual Reinforcement Based Bootstrapping." Acta Automatica Sinica 34, no. 10 (2008): 1257–61. http://dx.doi.org/10.1016/s1874-1029(08)60056-7.

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