Relevant bibliographies by topics / Semantic Error

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Academic literature on the topic 'Semantic Error'

Author: Grafiati
Published: 3 June 2025
Last updated: 13 July 2025

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Journal articles on the topic "Semantic Error"

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Tawfik Ali, Mai Morsy. "ANALISI DEGLI ERRORI LESSICALI PIÙ FREQUENTI NELL’ITALIANO DEGLI STUDENTI EGIZIANI." Italiano LinguaDue 16, no. 1 (2024): 359–73. http://dx.doi.org/10.54103/2037-3597/23846.

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In questo lavoro ci proponiamo di analizzare alcune tipologie di errori lessicali commessi da studenti egiziani di italiano LS evidenziando le strategie da essi adottate per colmare le lacune lessicali. Questo studio si basa sull’analisi di composizioni scritte di 60 studenti egiziani iscritti al secondo anno del corso di laurea in italiano presso la Facoltà di Al Alsun. L’analisi ha rivelato che gli errori lessicali sono il tipo di errore più grave e frequente comprovando che se un messaggio presenta molti errori lessicali ha una scarsa efficacia comunicativa, poiché tali errori sono noti elementi di disturbo della comunicazione. L’analisi degli errori lessicali ha rivelato che tra le strategie messe in atto dagli apprendenti nella costruzione dello spazio lessicale-semantico sono i genericismi, l’estensione semantica, l’uso improprio di termini, le perifrasi, i prestiti lessicali e i calchi. Analysis of the Most Frequent lexical Errors in the Italian of Egyptian Students In this paper, we aim to analyse some types of lexical errors committed by Egyptian Italian LS students by highlighting the strategies they adopted to fill the lexical gaps. This study is based on the analysis of written compositions of 60 Egyptian students enrolled in the second year of the Italian degree course at Al Alsun Faculty. The analysis revealed that lexical errors are the most serious and frequent type of error, proving that if a message has many lexical errors, it has poor communicative effectiveness, as such errors are known communication disruptors. The analysis of lexical errors revealed that among the strategies implemented by learners in the construction of the lexical-semantic space are genericisms, semantic extension, misuse of terms, periphrases, lexical borrowings and casts.
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Pramesti, Rahmadini Windy, Aidil Syah Putra, Ida Farhatul Iffah, and Sarrohmahniyati Sarrohmahniyati. "Semantic Error Analysis in English Oral Presentation." Dinamika Bahasa dan Budaya 19, no. 2 (2024): 105–13. https://doi.org/10.35315/bb.v19i2.9880.

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This study aims to analyze the oral semantic errors made by students during their English oral presentations and to classify these errors according to the categories defined by Al-Shormani and Al-Sohbani's (2012), adapted from James' (1998) error classification theory. This study uses qualitative descriptive analysis method. The study’s population consisted of approximately 50 6th-semester English Education students at Universitas Muhammadiyah Tangerang, with a sample size of 14 students from class 6A1, who were scheduled to perform their oral presentation. The data collection techniques used are observation and documentation. Data analysis involves several steps: identifying semantic errors, categorizing the collected semantic error, describing the corrected versions of these semantic errors, and concluding with a descriptive analysis of the semantic errors. The findings of this study found that among the fifteen semantic errors found in students’ oral presentations, lexical choice errors were the most frequent, totaling 8 errors (53%). Collocation and formal misformation had the lowest occurrence, each with only 1 error (7%). Additionally, lexical-grammatical choice errors accounted for 3 instances (20%), while formal misselection accounted for 2 errors (13%) in the study. Keywords: oral presentation, semantic, semantic error
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Nowbakht, Mohammad, and Thierry Olive. "The Role of Error Type and Working Memory in Written Corrective Feedback Effectiveness on First-Language Self Error-Correction." Written Communication 38, no. 2 (2021): 278–310. http://dx.doi.org/10.1177/0741088320986554.

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This study examined the role of error-type and working memory (WM) in the effectiveness of direct-metalinguistic and indirect written corrective feedback (WCF) on self error-correction in first-language writing. Fifty-one French first-year psychology students volunteered to participate in the experiment. They carried out a first-language error-correction task after receiving WCF on typographical, orthographic, grammatical, and semantic errors. Results indicated that error-type affected the efficacy of WCF. In both groups, typographical error-correction was performed better than the others; orthographic and grammatical error-correction were not different, but both were corrected more frequently than semantic errors. Between-group comparisons showed no difference between the two groups in correcting typographical, orthographic, and grammatical errors, while semantic error-correction was performed significantly better for the direct group. Results revealed that WM was not involved in correcting typographical, orthographic, and grammatical errors in both groups. It did, however, predict semantic error-correction only in response to direct-metalinguistic WCF. In addition, the processing component of WM was predictive of semantic error-correction in the direct WCF group. These findings suggest that error-type mediates the effectiveness of WCF on written error-correction at the monitoring stage of writing, while WM does not associate with all WCF types efficacy at this stage.
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Wrede, Olga, Dasa Munkova, Tomas Banik, and Michal Munk. "Zur Erforschung von Korrelationen zwischen verschiedenen Fehlertypen bei der maschinellen Übersetzung aus dem Deutschen ins Slowakische." Lebende Sprachen 67, no. 2 (2022): 432–56. http://dx.doi.org/10.1515/les-2022-1032.

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Abstract We focus on examining the impact of machine translation (MT) error rate on adequacy and fluency in machine-translated journalistic texts. German is the source language, with significant polysynthetic features in the formation of composites, and the target language is Slovak, with predominantly inflected features. We analyse twelve error categories, which are incorporated into the categorical framework for the analysis of MT errors and correspond to the four-member core MQM-DQF error typology. The results show that the most significant errors are in the categories of lexical semantics, syntactic-semantic correlativeness and grammar.
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McGregor, Karla K., Robyn M. Newman, Renée M. Reilly, and Nina C. Capone. "Semantic Representation and Naming in Children With Specific Language Impairment." Journal of Speech, Language, and Hearing Research 45, no. 5 (2002): 998–1014. http://dx.doi.org/10.1044/1092-4388(2002/081).

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When 16 children with SLI (mean age=6;2) and 16 normally developing age-mates named age-appropriate objects, the SLI cohort made more naming errors. For both cohorts, semantic misnaming and indeterminate responses were the predominant error types. The contribution of limited semantic representation to these naming errors was explored. Each participant drew and defined each item from his or her semantic and indeterminate error pools and each item from his or her correctly named pool. When compared, the drawings and definitions of items from the error pools were poorer, suggesting limited semantic knowledge. The profiles of information included in definitions of items from the correct pool and the error pools were highly similar, suggesting that representations associated with misnaming differed quantitatively, but not qualitatively, from those associated with correct naming. Eleven members of the SLI cohort also participated in a forced-choice recognition task. Performance was significantly lower on erroneous targets than on correctly named targets. When performance was compared across all three post-naming tasks (drawing, defining, recognition), the participants evinced sparse semantic knowledge for roughly half of all semantic misnaming and roughly one third of all indeterminate responses. In additional cases, representational gaps were evident. This study demonstrates that the degree of knowledge represented in the child's semantic lexicon makes words more or less vulnerable to retrieval failure and that limited semantic knowledge contributes to the frequent naming errors of children with SLI.
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ARNAUD, PIERRE J. L. "Target–error resemblance in French word substitution speech errors and the mental lexicon." Applied Psycholinguistics 20, no. 2 (1999): 269–87. http://dx.doi.org/10.1017/s0142716499002052.

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The word substitution errors from a corpus of 2,400 French slips of the tongue were grouped into several categories: contaminational, semantic, formal, and mixed cases; substitutions of syntagmatic codependents also occurred. Semantic and formal substitutions involved a resemblance between target and error. In addition, all substitutions exhibited a strong degree of word class and gender identity. The various types of resemblance were analyzed with reference to three-layer models of lexicalization. They did not make a lemma layer necessary, but stronger evidence came from another error category – semantic blends.
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Singh, Mukul, José Cambronero, Sumit Gulwani, et al. "DataVinci: Learning Syntactic and Semantic String Repairs." Proceedings of the ACM on Management of Data 3, no. 1 (2025): 1–26. https://doi.org/10.1145/3709677.

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String data is common in real-world datasets: 67.6% of values in a sample of 1.8 million real Excel spreadsheets from the web were represented as text. Automatically cleaning such string data can have a significant impact on users. Previous approaches are limited to error detection, require that the user provides annotations, examples, or constraints to fix the errors, and focus independently on syntactic errors or semantic errors in strings, but ignore that strings often contain both syntactic and semantic substrings. We introduce DataVinci, a fully unsupervised string data error detection and repair system. DataVinci learns regular-expression-based patterns that cover a majority of values in a column and reports values that do not satisfy such majority patterns as data errors. DataVinci can automatically derive edits to the data error based on the majority patterns and using row tuples associated with majority values as examples. To handle strings with both syntactic and semantic substrings, DataVinci uses an LLM to abstract (and re-concretize) portions of strings that are semantic. Because not all data columns can result in majority patterns, when available, DataVinci can leverage execution information from an existing data program (which uses the target data as input) to identify and correct data repairs that would not otherwise be identified. DataVinci outperforms eleven baseline systems on both data error detection and repair as demonstrated on four existing and new benchmarks.
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He, Zhe, Duo Wei, Gai Elhanan, Yan Chen, and Huanying Gu. "Validating UMLS Semantic Type Assignments Using SNOMED CT Semantic Tags." Methods of Information in Medicine 57, no. 01/02 (2018): 43–53. http://dx.doi.org/10.3414/me17-01-0120.

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Summary Background: The UMLS assigns semantic types to all its integrated concepts. The semantic types are widely used in various natural language processing tasks in the biomedical domain, such as named entity recognition, semantic disambiguation, and semantic annotation. Due to the size of the UMLS, erroneous semantic type assignments are hard to detect. It is imperative to devise automated techniques to identify errors and inconsistencies in semantic type assignments. Objectives: Designing a methodology to perform programmatic checks to detect semantic type assignment errors for UMLS concepts with one or more SNOMED CT terms and evaluating concepts in a selected set of SNOMED CT hierarchies to verify our hypothesis that UMLS semantic type assignment errors may exist in concepts residing in semantically inconsistent groups. Methods: Our methodology is a four-stage process. 1) partitioning concepts in a SNOMED CT hierarchy into semantically uniform groups based on their assigned semantic tags; 2) partitioning concepts in each group from 1) into the disjoint sub-groups based on their semantic type assignments; 3) mapping all SNOMED CT semantic tags into one or more semantic types in the UMLS; 4) identifying semantically inconsistent groups that have inconsistent assignments between semantic tags and semantic types according to the mapping from 3) and providing concepts in such groups to the domain experts for reviewing. Results: We applied our method on the UMLS 2013AA release. Concepts of the semantically inconsistent groups in the PHYSICAL FORCE and RECORD ARTIFACT hierarchies have error rates 33% and 62.5% respectively, which are greatly larger than error rates 0.6% and 1% in semantically consistent groups of the two hierarchies. Conclusion: Concepts in semantically in - consistent groups are more likely to contain semantic type assignment errors. Our methodology can make auditing more efficient by limiting auditing resources on concepts of semantically inconsistent groups.
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Wang, Xue, Fang Yang, Hongyuan Liu, and Qingxuan Shi. "Error correction of semantic mathematical expressions based on bayesian algorithm." Mathematical Biosciences and Engineering 19, no. 6 (2022): 5428–45. http://dx.doi.org/10.3934/mbe.2022255.

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<abstract> <p>The semantic information of mathematical expressions plays an important role in information retrieval and similarity calculation. However, a large number of presentational expressions in the presentation MathML format contained in electronic scientific documents do not reflect semantic information. It is a shortcut to extract semantic information using the rule mapping method to convert presentational expressions in presentation MathML format into semantic expressions in the content MathML format. However, the conversion result is prone to semantic errors because the expressions in the two formats do not have exact correspondences in grammatical structures and markups. In this study, a Bayesian error correction algorithm is proposed to correct the semantic errors in the conversion results of mathematical expressions based on the rule mapping method. In this study, the expressions in presentation MathML and content MathML in the NTCIR data set are used as the training set to optimize the parameters of the Bayesian model. The expressions in presentation MathML in the documents collected by the laboratory from the CNKI website are used as the test set to test the error correction results. The experimental results show that the average $ {F_1} $ value is 0.239 with the rule mapping method, and the average $ {F_1} $ value is 0.881 with the Bayesian error correction method, with the average error correction rate is 0.853.</p> </abstract>
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Morell, Larry, and Branson Murrill. "Semantic metrics through error flow analysis." Journal of Systems and Software 20, no. 3 (1993): 253–65. http://dx.doi.org/10.1016/0164-1212(93)90069-a.

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Dissertations / Theses on the topic "Semantic Error"

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Choi, Daniel C. B. "SEDO, semantic error diagnostic operation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0020/MQ48445.pdf.

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Vipoopinyo, Jarupa. "eXtensible business reporting language semantic error checking for accounting information systems." Thesis, University of Portsmouth, 2013. https://researchportal.port.ac.uk/portal/en/theses/extensible-business-reporting-language-semantic-error-checking-for-accounting-information-systems(d92d189d-ac31-413a-8577-e5152b61e09e).html.

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The financial reporting world has recently faced a number of changes due to the impact of the Internet. Today, the revolution in business communication is accelerating and more data is being shared by a large number of participant users, aside from the company’s internal management, including: clients, business partners, financial market analysts, investors and government regulators. These changes have led to the development of eXtensible Business Reporting Language (XBRL), which is an opensource Internet-based financial reporting language. XBRL is an extension of eXtensible Markup Language (XML) that provides machinereadable tags for each individual data element in each financial statement. XBRL is likely to be used as a platform that offers universal standards for defining business information. XBRL can ease the preparation, analysis, and exchange of business information along each part of financial reporting supply chain and across companies around the world. It can also increase the efficiency for all related users of business data. This study has analysed the accuracy of XBRL outputs by conducting a literature review and by checking the accuracy of the real company XBRL filing submissions that are published publicly. This study has found that there were many errors in these public XBRL documents that were caused either through a few basic common errors or from mistakes in related financial information. Therefore, this study has aimed to discover any possible causes of errors in XBRL filings. It has also aimed to find a way to detect those errors. Consequently, this study conducted a semantic checking system that aimed to detect XBRL errors and so enhance the accuracy of financial statements. To develop the semantic checking system, the results of an error finding analysis were combined, filtered, and classified into each category of errors, including the integration of accounting, business, and technology knowledge to fulfil the system. A process flow for the semantic checking system was created to help understand both the method and the rule. The rules were then set up to determine the different aspect of errors, which had a different method to manage and reduce errors. The semantic checking system was created in terms of the information specification of the XBRL filings. The system was designed to be more practical for the users by presenting the relationship between the real data and accounting practice. Moreover, a prototype was produced and the case study method was applied to prove the development of the system. This step was able to ensure the accuracy of the semantic checking system. Finally, this semantic checking system has been shown to improve the accuracy of XBRL filings. It also emphasises the importance of employing XBRL preparers who are aware of all of the possible issues that may arise while preparing an XBRL-based filing submission.
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Delara, Changiz. "On a plan recognition based approach to debugging novices' ML programs with multiple functions." Thesis, University of Sussex, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296546.

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Nicol, Janet L., Andrew Barss, and Jason E. Barker. "Minimal Interference from Possessor Phrases in the Production of Subject-Verb Agreement." FRONTIERS MEDIA SA, 2016. http://hdl.handle.net/10150/615107.

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We explore the language production process by eliciting subject-verb agreement errors. Participants were asked to create complete sentences from sentence beginnings such as The elf's/elves' house with the tiny window/windows and The statue in the eirs/elves' gardens. These are subject noun phrases containing a head noun and controller of agreement (statue), and two nonheads, a "local noun" (window(s)/garden(s)), and a possessor noun (elf's/elves'). Past research has shown that a plural nonhead noun (an "attractor") within a subject noun phrase triggers the production of verb agreement errors, and further, that the nearer the attractor to the head noun, the greater the interference. This effect can be interpreted in terms of relative hierarchical distance from the head noun, or via a processing window account, which claims that during production, there is a window in which the head and modifying material may be co-active, and an attractor must be active at the same time as the head to give rise to errors. Using possessors attached at different heights within the same window, we are able to empirically distinguish these accounts. Possessors also allow us to explore two additional issues. First, case marking of local nouns has been shown to reduce agreement errors in languages with "rich" inflectional systems, and we explore whether English speakers attend to case. Secondly, formal syntactic analyses differ regarding the structural position of the possessive marker, and we distinguish them empirically with the relative magnitude of errors produced by possessors and local nouns. Our results show that, across the board, plural possessors are significantly less disruptive to the agreement process than plural local nouns. Proximity to the head noun matters: a possessor directly modifying the head noun induce a significant number of errors, but a possessor within a modifying prepositional phrase did not, though the local noun did. These findings suggest that proximity to a head noun is independent of a "processing window" effect. They also support a noun phrase-internal, case-like analysis of the structural position of the possessive ending and show that even speakers of inflectionally impoverished languages like English are sensitive to morphophonological case-like marking.
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Rabovsky, Milena. "Semantic richness effects in visual word processing." Doctoral thesis, Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, 2014. http://dx.doi.org/10.18452/17073.

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Lesen zielt darauf ab, Bedeutung aus geschriebenem Text zu extrahieren. Interessanterweise unterscheiden sich Wörter beträchtlich hinsichtlich der Menge mit ihnen assoziierter Bedeutung, und es wurde kürzlich gezeigt, dass eine hohe Bedeutungshaltigkeit lexikalische und semantische Aufgaben erleichtert. Die vorliegende Dissertation kombiniert ereigniskorrelierte Potentiale (EKPs) und konnektionistische Modellierung, um einige offene Fragen zur Rolle der Bedeutungshaltigkeit bei der Wortverarbeitung anzugehen. Hierbei wurden EKPs verwendet, um den Zeitverlauf unabhängiger Einflüsse der Anzahl semantischer Merkmale und Assoziationen beim Wortlesen zu bestimmen sowie Einflüsse von Bedeutungshaltigkeit auf implizites Wortlernen zu untersuchen. Um die zugrundeliegenden Mechanismen besser zu verstehen, wurden die Ergebnisse anschließend mittels eines semantischen Netzwerk-Modells simuliert. Es zeigten sich keine Einflüsse der Anzahl der Assoziationen, aber eine schnelle Aktivierung semantischer Merkmale, die das EKP bereits ab 190 ms beeinflussten - nur 20 bis 30 ms nach und zeitlich überlappend mit der Aktivierung orthographischer Repräsentationen, die durch N1-Lexikalitätseffekte angezeigt wurden. Im weiteren Verlauf ging eine hohe Merkmalsanzahl mit größeren N400-Amplituden einher. Zudem verstärkten semantische Merkmale Wiederholungseinflüsse auf die Akkuratheit lexikalischer Entscheidungen und N400-Amplituden, was einen ersten Hinweis auf Einflüsse von Bedeutungshaltigkeit auf implizites Wortlernen darstellt. Diese Ergebnisse stehen im Einklang mit merkmalsbasierten semantischen Netzwerk-Modellen. Simulationen legen nahe, dass semantische Aktivierung lexikalische Entscheidungen erleichtert, während Netzwerk-Fehler in engem Zusammenhang mit N400-Amplituden stehen. Da Netzwerk-Fehler psychologisch als implizite Vorhersagefehler interpretiert werden, deuten diese Ergebnisse darauf hin, dass N400-Amplituden implizite Vorhersagefehler im semantischen System widerspiegeln.<br>Language ultimately aims to convey meaning. Importantly, the amount of associated semantic information varies considerably between words. Recent evidence suggests that the richness of semantic representations facilitates performance in lexical and semantic tasks, but much remains to be learned about semantic richness effects. The present dissertation combined event-related brain potentials (ERPs) and connectionist modeling to address several unresolved issues concerning the role of semantic richness in word processing. Specifically, ERPs were employed to investigate the time course of independent influences of the number of semantic features and associates during word reading (study 1) and influences of semantic richness on implicit word learning (study 2). Aiming at advancing a mechanistic understanding of the obtained results, both studies were subsequently simulated using a network model of semantic cognition (study 3). Results showed no influences of the number of associates, but fast access to semantic features, with influences of feature-based semantic richness starting at about 190 ms - a mere 20 to 30 ms after and temporally overlapping with the activation of orthographic representations as reflected by N1 lexicality effects. Later on, a high number of semantic features induced larger N400 amplitudes. Furthermore, the number of semantic features enhanced repetition priming effects on lexical decision accuracy and N400 amplitudes, providing initial evidence for influences of semantic richness on implicit word learning. These results are in line with feature-based network models of semantic cognition. Simulations with such a model suggest that semantic activation can facilitate lexical decisions, while network error closely corresponds to N400 amplitudes. In psychological terms, network error has been conceptualized as implicit prediction error. Thus, these results are taken to suggest that N400 amplitudes reflect implicit prediction error in semantic memory.
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Snowden, D. S. "Knowledge-based diagnosis of semantic errors in ADA programs." Thesis, University of York, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.379017.

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Levesque, Guy-Luc. "Lexico-Semantic Influence in Interlingual Transfer." PDXScholar, 1994. https://pdxscholar.library.pdx.edu/open_access_etds/4771.

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The present study replicates research by Tomoko Takahashi (1984) on lexico-semantic patterns used by students in an acquisition poor environment. The purpose of the current study was to determine how an acquisition rich environment affects learners' use of four lexico-semantic patterns: congruence occurs when the Ll definition of a lexical item forms a one-to-one correspondence with the L2 lexical item; convergence occurs when the Ll lexical item has broader applications than the L2 lexical item; divergence occurs when the L2 lexical item has broader applications than the Ll lexical item; and semantic gap occurs when the Ll lexical item has no appropriate corresponding L2 lexical item (Takahashi, 1984). The instrument, a lexico-semantics test, is the same instrument used in Takahashi's study. It was designed to measure which patterns are most frequently used by Japanese EFL students learning English. The results, unlike Takahashi's, suggest that beginning and advanced ESL students use the four patterns equally well. No significant difference was found between the two groups. These results are contrary to what had been expected. However, they show that the proposed hierarchical order of difficulty of congruence, convergence, divergence and semantic gap is the same in both studies. The results also indicate that the acquisition· rich environment seems to dramatically improve beginners' performance of the four patterns. Since the instrument was designed for EFL students (an acquisition poor environment) it may not have fully challenged the advanced ESL students (an acquisition rich environment) while challenging the beginning students. This may have been due to the fact that the students in the present study received a great deal of input from the acquisition rich environment, which could account for their increased ability to restructure hypotheses about L2 vocabulary items. In conclusion, more studies are needed to determine the complete role of the four lexico-semantic patterns in vocabulary acquisition. An expanded follow up study that fully tests the advanced and beginning ESL learners' ability could determine whether both groups progress along a language continuum with respect to the use of the four lexico-semantic patterns. Furthermore, although the patterns may serve, in a limited capacity, as indicators of a learner's difficulties in vocabulary acquisition, a wider body of research is needed before they can be applied in a language learning environment.
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Fouqueré, Christophe. "Systèmes d'analyse tolérante du langage naturel." Paris 13, 1988. http://www.theses.fr/1988PA132003.

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Rahli, Vincent. "Investigations in intersection types : confluence, and semantics of expansion in the λ-calculus, and a type error slicing method". Thesis, Heriot-Watt University, 2011. http://hdl.handle.net/10399/2453.

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Type systems were invented in the early 1900s to provide foundations for Mathematics where types were used to avoid paradoxes. Type systems have then been developed and extended throughout the years to serve different purposes such as efficiency or expressiveness. The λ-calculus is used in programming languages, logic, mathematics, and linguistics. Intersection types are a kind of types used for building semantic models of the λ-calculus and for static analysis of computer programs. The confluence property was used to prove the λ-calculus’ consistency and the uniqueness of normal forms. Confluence is useful to show that logics are sensibly designed, and to make equality decision procedures for use in theorem provers. Some proofs of the λ-calculus’ confluence are based on syntactic concepts (reduction relations and λ-term sets) and some on semantic concepts (type interpretations). Part I of this thesis presents an original syntactic proof that is a simplification of a semantic proof based on a sound type interpretation w.r.t. an intersection type system. Our proof can be seen as bridging some semantic and syntactic proofs. Expansion is an operation on typings (pairs of type environments and result types) in type systems for the λ-calculus. It was introduced to prove that the principal typing property (i.e., that every typable term has a strongest typing) holds in intersection type systems. Expansion variables were introduced to simplify the expansion mechanism. Part II of this thesis presents a complete realisability semantics w.r.t. an intersection type system with infinitely many expansion variables. This represents the first study on semantics of expansion. Providing sound (and complete) realisability semantics allows one to study the algorithmic behaviour of typed λ-terms through their types w.r.t. a type system. We believe such semantics will cast some light on the not yet well understood expansion operation. Intersection types were used in a type error slicer for the SML programming language. Existing compilers for many languages have confusing type error messages. Type error slicing (TES) helps the programmer by isolating the part of a program contributing to a type error (a slice). TES was initially done for a tiny toy language (the λ-calculus with polymorphic let-expressions). Extending TES to a full language is extremely challenging, and for SML we needed a number of innovations. Some issues would be faced for any language, and some are SML-specific but representative of the complexity of language-specific issues likely to be faced for other languages. Part III of this thesis solves both kinds of issues and presents an original, simple, and general constraint system for providing type error slices for ill-typed programs. We believe TES helps demystify language features known to confuse users.
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Biljana, Babić. "Unutarjezičke greške na početnim nivoima učenja srpskog jezika kao stranog." Phd thesis, Univerzitet u Novom Sadu, Filozofski fakultet u Novom Sadu, 2016. http://www.cris.uns.ac.rs/record.jsf?recordId=100274&source=NDLTD&language=en.

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U radu se identifikuju unutarjezicke gre&scaron;ke,sistematizuju se prema jezickim nivoima itipovima, morfolo&scaron;kim i sintaksickosemantickimmodelima, zatim se opisuju igre&scaron;ke i uzroci njihovog nastanka (gde god je tomoguce). Izlažu se rezultati analize prema:- jezickim nivoima,- gramatickim kategorijama,- ucestalosti pojavljivanja gre&scaron;aka,- prvom jeziku studenata, tako ce se pokazatikoje gre&scaron;ke su odlika govornika samo jednogpolaznog jezika, a koje su zajednickegovornicima razlicitih ili možda cak svihpolaznih jezika.<br>In the paper, intralinguistic errors areidentified, systematized according to linguisticlevels and types, morphological and syntacticand semantic models. Errors are then describedincluding the causes of their occurrence (incases in which it is possible). The results of theanalysis are presented according to:- linguistic levels,- grammatical categories,- frequency of error occurrence,- students&#39; L1, which will indicate whicherrors are characteristic of speakers ofonly one L1 as well as which errors arecommon to speakers of different orpossibly all the native languages
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Books on the topic "Semantic Error"

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Tucker, J. V. Program correctness over abstract data types, with error-state semantics. North-Holland, 1988.

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Buckley, William F. Buckley: The right word. Harcourt Brace, 1998.

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Rosen, Mordechai. Mikhmane ha-milim be-ʻIvrit: Ke-200 homofonim, ke-150 gizrone milim meʻanyenot, ḥidushe ha-Aḳademyah la-lashon ha-ʻIvrit. Dayeḳ, 1994.

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Francesca, Trusso, ed. Parlare lo spazio: Sentieri semiotici e linguistici. Bulzoni, 1995.

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Xu, Yan. Kuang miu zheng su shu zheng. Zhonghua shu ju, 2019.

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Simon, Winchester, ed. A dictionary of modern English usage. Oxford University Press, 2002.

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1880-1966, Gowers Ernest Sir, ed. A dictionary of modern English usage. 2nd ed. Oxford University Press, 1991.

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William, Lutz, and National Council of Teachers of English., eds. Beyond nineteen eighty-four: Doublespeak in a post-Orwellian age. National Council of Teachers of English, 1989.

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226-249, Wang Bi, Li Dingzuo, Liu Mu 1011-1064, et al., eds. Si ku ti yao zhu lu cong shu: Jing bu. Beijing chu ban she, 2010.

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Pullum, Geoffrey K. Slurs and Obscenities. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198758655.003.0009.

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Words are often assumed to have denotations linking them to concepts, and we use a word with a certain denotation when we want to convey to our interlocutor the concept to which it is linked. Obscene swearwords and offensive slurs reveal the simplistic character of this view. Issues of style, tone, esthetics, etiquette, attitude, and self-presentation arise; semantics, pragmatics, sociolinguistics, and anthropology are involved in clarifying them. After surveying some semantic and pragmatic preliminaries, the chapter delves into the lexicography of obscene and offensive terms. There are some flagrant semantic errors in trusted dictionaries. Experienced lexicographers get many simple meanings badly and obviously wrong. Part of the explanation may lie in a desire to distance the dictionary’s authority from the pejorative content. Correcting such entries involves recognizing that words have nonlinguistic properties as well as linguistic ones.
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Book chapters on the topic "Semantic Error"

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Alenazi, Yasir. "Semantic Lexical Error Analysis." In Exploring Lexical Inaccuracy in Arabic-English Translation. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6390-2_5.

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Juba, Brendan. "The error complexity of strategies in infinite executions." In Universal Semantic Communication. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23297-8_8.

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Zhang, Yangsen, Wenjie Wei, Ruoyu Chen, and Gaijuan Huang. "Applying Chinese Semantic Collocation Knowledge to Semantic Error Reasoning." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04015-4_50.

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Murray, Neil V., and Erik Rosenthal. "On deleting links in semantic graphs." In Algebraic Algorithms and Error-Correcting Codes. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/3-540-16776-5_745.

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Schumi, Richard, and Jun Sun. "SpecTest: Specification-Based Compiler Testing." In Fundamental Approaches to Software Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71500-7_14.

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AbstractCompilers are error-prone due to their high complexity. They are relevant for not only general purpose programming languages, but also for many domain specific languages. Bugs in compilers can potentially render all programs at risk. It is thus crucial that compilers are systematically tested, if not verified. Recently, a number of efforts have been made to formalise and standardise programming language semantics, which can be applied to verify the correctness of the respective compilers. In this work, we present a novel specification-based testing method named SpecTest to better utilise these semantics for testing. By applying an executable semantics as test oracle, SpecTest can discover deep semantic errors in compilers. Compared to existing approaches, SpecTest is built upon a novel test coverage criterion called semantic coverage which brings together mutation testing and fuzzing to specifically target less tested language features. We apply SpecTest to systematically test two compilers, i.e., the Java compiler and the Solidity compiler. SpecTest improves the semantic coverage of both compilers considerably and reveals multiple previously unknown bugs.
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Caravale, Giorgio. "Error of the Heretic, Error of the Controversialist. Error and Deception in Sixteenth-Century Religious Polemics." In Errors, False Opinions and Defective Knowledge in Early Modern Europe. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0266-4.03.

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In a confessional age in which Catholics and Protestants accused each other (and for a long time) of misinterpreting the Holy Scriptures and deceiving the faithful, some churchmen made religious controversy their life’s mission. One of the most famous among them was Ambrogio Catarino Politi, a Dominican polemist from Siena who lived in the first half of the sixteenth century. His entire existence revolved around the concept of error: errors of which he accused Luther and his Italian followers in some of the most effective pamphlets of the time; errors of which he himself was repeatedly accused by his Dominican adversaries before and during the Council of Trent; but also errors of which Politi accused himself in some revealing and at time merciless autobiographical reconstructions. Through the figure of the Sienese controversialist, this essay highlights all the semantic nuances assumed by the idea of error in sixteenth-century confessional controversy: from presumption to credulity, from delusion to deception.
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Greenough, Patrick, and Dirk Kindermann. "The Semantic Error Problem for Epistemic Contextualism." In The Routledge Handbook of Epistemic Contextualism. Routledge, 2017. http://dx.doi.org/10.4324/9781315745275-25.

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Li, Jiayuan, Yangsen Zhang, Jinjin Zhu, and Zewei Zhang. "Semantic Automatic Error-Detecting for Chinese Text Based on Semantic Dependency Relationship." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45185-0_43.

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Dibowski, Henrik. "Property Assertion Constraints for an Informed, Error-Preventing Expansion of Knowledge Graphs." In Knowledge Graphs and Semantic Web. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91305-2_18.

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Graff, Mario, Ariel Graff-Guerrero, and Jaime Cerda-Jacobo. "Semantic Crossover Based on the Partial Derivative Error." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44303-3_4.

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Conference papers on the topic "Semantic Error"

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Samarathunga, Prabhath, Udara Jayasinghe, Yasith Ganearachchi, Thanuj Fernando, Nimesha Senanayake, and Anil Fernando. "Semantic Communication Based Lossless Distributed Video Coding for Error Prone Channels." In 2025 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2025. https://doi.org/10.1109/icce63647.2025.10929820.

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Xie, Yanzhe. "Combined-net: modifying error in semantic segmentation based on bounding box annotations." In Fourth International Conference on Computer Technology, Information Engineering, and Electron Materials (CTIEEM 2024), edited by Massimo Ficco and Yixian Yang. SPIE, 2025. https://doi.org/10.1117/12.3058591.

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A.Swathi, Gulnaz Fatma, L. Bhargavi, P.Kavitha, R. Subhashini, and Prema S. "Machine Learning-Based Automatic Syntax and Semantic Error Identification in English Writings." In 2024 International BIT Conference (BITCON). IEEE, 2024. https://doi.org/10.1109/bitcon63716.2024.10985094.

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Wang, Jun, Kailin Tan, Sixian Wang, Xiaoqi Qin, Zhenyu Liu, and Jincheng Dai. "MaskDSC: Resilient Digital Semantic Communication with Masked Transformer and Unequal Error Protection." In 2025 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2025. https://doi.org/10.1109/wcnc61545.2025.10978821.

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Jiang, Jinfeng, Qirui Fu, Mingjie Wang, Zhonghao Liu, Junxiao Lyu, and Hongfei Fan. "Error-Tolerant Code Segmentation for Supporting Semantic Conflict Prevention in Real-Time Collaborative Programming." In 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2024. https://doi.org/10.1109/smc54092.2024.10832108.

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Li, Peizheng, Xinyi Lin, and Adnan Aijaz. "Building the Self-Improvement Loop: Error Detection and Correction in Goal-Oriented Semantic Communications." In 2024 IEEE Conference on Standards for Communications and Networking (CSCN). IEEE, 2024. https://doi.org/10.1109/cscn63874.2024.10849728.

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Zhang, Yutao, and Jun Ai. "Semantic-Weighted Word Error Rate Based on BERT for Evaluating Automatic Speech Recognition Models." In 2024 11th International Conference on Dependable Systems and Their Applications (DSA). IEEE, 2024. https://doi.org/10.1109/dsa63982.2024.00034.

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Shen, Chengji, Zunlei Feng, Zhongle Xie, Jie Lei, Huiqiong Wang, and Mingli Song. "GAN Doctor: Diagnosing and Treating Inherent Semantic Errors." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10651122.

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Strohmaier, David, and Paula Buttery. "Semantic Error Prediction: Estimating Word Production Complexity." In 13th Workshop on Natural Language Processing for Computer Assisted Language Learning. Linköping University Electronic Press, 2024. http://dx.doi.org/10.3384/ecp211016.

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Estimating word complexity is a well-established task in computer-assisted language learning. So far, however, complexity estimation has been largely limited to comprehension. This neglects words that are easy to comprehend, but hard to produce. We introduce semantic error prediction (SEP) as a novel task that assesses the production complexity of content words. Given the corrected version of a learner-produced text, a system has to predict which content words replace tokens from the original text. We present and analyse one example of such a semantic error prediction dataset, which we generate from an error correction dataset. As neural baselines, we use BERT, RoBERTa, and LLAMA2 embeddings for SEP. We show that our models can already improve downstream applications, such as predicting essay vocabulary scores.
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Spiccia, Carmelo, Agnese Augello, Giovanni Pilato, and Giorgio Vassallo. "Semantic Word Error Rate for Sentence Similarity." In 2016 IEEE Tenth International Conference on Semantic Computing (ICSC). IEEE, 2016. http://dx.doi.org/10.1109/icsc.2016.11.

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Reports on the topic "Semantic Error"

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Li, A. Forward Error Correction Grouping Semantics in Session Description Protocol. RFC Editor, 2006. http://dx.doi.org/10.17487/rfc4756.

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Begen, A. Forward Error Correction Grouping Semantics in the Session Description Protocol. RFC Editor, 2010. http://dx.doi.org/10.17487/rfc5956.

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Yip, Eugene, and Gerald Lüttgen. Heterogeneous Specification of Spacecraft Software. Otto-Friedrich-Universität, 2024. http://dx.doi.org/10.20378/irb-97634.

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The operational behaviour of a reactive system is commonly specified or modelled as concurrent state machines, where each machine models the possible states or modes of a software component and its interactions with the environment. However, state machines can quickly become verbose when execution constraints between concurrent states need to be modelled. Alternatively, constraints could be modelled declaratively as special edges between states. Such a heterogeneous modelling approach is employed by Virtual Satellite (VirSat), a model-based systems engineering tool from the German Aerospace Center (DLR). The challenge has been to develop a heterogeneous modelling framework that supports an operational and declarative syntax, defines a unified semantics suitable for formal reasoning, and supports the independent and incremental development of software components. We address this challenge with our Component State Machine (CSM) formalism as a means to operationalise VirSat: the operational syntax of VirSat is preserved in CSM, the declarative VirSat constraints are transformed into CSM atomic propositions and parallel conditions, the CSM parallel operator incrementally composes CSMs and resolves the parallel conditions, and design errors are analysed as inconsistent transitions. CSM permits new constraints to be defined without needing to modify the core VirSat semantics. We also propose an intuitive, practical, and mathematically rigorous notion of refinement that aims to encourage a more systematic development of spacecraft software. Lastly, we offer a modular implementation of CSMs as hierarchically scheduled Executable State Machines (ESMs) that remains open to further composition and refinement.
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