Relevant bibliographies by topics / Erroneous sentences

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Erroneous sentences'

Author: Grafiati
Published: 7 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Erroneous sentences"

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Wang, Ling, and Zhongjian Wang. "Japanese-Chinese Machine Translation of Japanese Determiners Based on Templates." Modern Electronic Technology 6, no. 1 (2022): 43. http://dx.doi.org/10.26549/met.v6i1.11422.

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The machine translation of Japanese sentences with determiners, like “shika...nai”, “tyoutto...dakedeha”, “tada...dake” and so on, are more special and regular on sentences structure. The research collects and classifies the Japanese sentences which contain the determiners. The classification is carried out by according to the characteristics of Japanese sentences and translation habit of Chinese sentences. Through further abstraction and simplification, translation templates are extracted by gathering grammar rules information, studying syntax and analysis the collocation mode of sentences. Those determiners express confirmed meaning, and the corresponding translation Chinese sentences have the same characteristic. By analyzing the sentence characteristics with determiners and formalizing the sentences structure, the translation templates are abstracted. By investigating the structure characteristic of original sentences with translation templates, the similarity algorithm was defined. The threshold value of the similarity calculation was obtained by preliminary experiments, and the experiments of Japanese-Chinese translation are carried out by a small corpus. The experimental results for several kinds of Japanese sentences with determiners show the translation accuracy rate is 68.6%, template coverage rate reach 83.3%. At last, through the analysis for the translation errors, following conclusion is drawn: the results of morphological analysis are erroneous, because the error of word segmentation the part of speech tagging also are erroneous, result in the grammar structure cannot match with templates; the original sentences are long and especially complex sentences; the templates are too complicated; the similarity calculation method needs to discuss further, and so on.
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Ashirboyev, Samixon. "Syntax of simple sentences in compound sentence transformation in Alisher Navoi’s prose works." Golden Scripts 5, no. 1 (2023): 79–91. http://dx.doi.org/10.52773/tsuull.gold.2023.1/gqgv1114.

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In traditional Uzbek linguistics, in later period, the number of cases of considering subordinate clauses as complex sentences increased. From this point of view caused various discussions. At that time, such sentences were considered as simple sentences in the transformation of a compound sentence; in this article, using the example of the prose works of Alisher Navai, such sentences are considered from the point of view and analyzed on the basis of existing theoretical ideas. In the article, such sentences are treated as the simple sentences in a compound transformation, the scientific views expressed in relation to them are described, their interpretations in Russian linguistics and Uzbek linguistics, the term simple sentence with a connected participle in literature of the later period is analyzed, and the existing erroneous approaches are eliminated by reasonable argumentation. The term transform was applied to such a syntactic unit that did not reach the level of a subordinate clause, and their features were based on similar and different features from sentences with a subordinate clause. Mutual syntactic relations of transformations and the auxiliary words used in their connection with function of linking words and connection are presented, as well as the syntactic and semantic features of these transformations are highlighted.
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Umarlebbe, Jameela Hanoon, Sarimah Shamsudin, and Seriaznita Haji Mat Said. "Maritime Students Meeting the Maritime Industry English Standards: An Analysis of Types of Sentences." English Language Teaching 15, no. 11 (2022): 84. http://dx.doi.org/10.5539/elt.v15n11p84.

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A sentence is the highest unit of grammar. Thus, constructing error-free sentences in writing is one of the biggest challenges encounted by most non-native speakers, and even university students are not an exception to this reality. This study aims at investigating various types of sentences produced by tertiary-level maritime students in a Sri Lankan university. The study was based on a narrative writing activity in the English for Academic Purposes (EAP) module. The students were provided forty-five minutes to produce the piece of writing as an in-class activity on a topic relevant to their field visit to a port. This is a descriptive study based on the analysis of a small corpus of essays written by twenty maritime students, and a structural analysis of sentences was employed to examine the students’ writing. Different kinds of sentences and sentence errors were identified, and they were classified accordingly. The findings of the study revealed that the students favoured simple sentences over other sentence types. Approximately two-thirds of the sentences produced belonged to the simple sentence category. The compound-complex form was found to be the least utilized sentence type among the target group. The analysis of sentences was based on the elements of the clause structure explained in Quirk et al. (1985) and Oshima and Hough (2006). Interestingly, it was observed that there was no single common clause structural pattern used by the participants. Instead, they used subject-verb-object (SVO), subject-verb-complement (SVC) and subject-verb-adverbial (SVA) types very often when writing. Similarly, fragments and run-on sentences were recorded high among maritime learners’ erroneous sentences in writing. The study findings have pedagogical implications for the teaching of English language grammar that subsumes essay writing in the EAP module. 
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Veena, S. Nair, and Beevi A. Amina. "Suggestion Generation for Specific Erroneous Part in a Sentence using Deep Learning." International Journal of Trend in Scientific Research and Development 3, no. 4 (2019): 582–84. https://doi.org/10.31142/ijtsrd23842.

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Natural Language Processing NLP is the one of the major filed of Natural Language Generation NLG . NLG can generate natural language from a machine representation. Generating suggestions for a sentence especially for Indian languages is much difficult. One of the major reason is that it is morphologically rich and the format is just reverse of English language. By using deep learning approach with the help of Long Short Term Memory LSTM layers we can generate a possible set of solutions for erroneous part in a sentence. To effectively generate a bunch of sentences having equivalent meaning as the original sentence using Deep Learning DL approach is to train a model on this task, e.g. we need thousands of examples of inputs and outputs with which to train a model. Veena S Nair | Amina Beevi A "Suggestion Generation for Specific Erroneous Part in a Sentence using Deep Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23842.pdf
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Ariana, Sunda, Hadi Syahputra, and Tri Basuki Kurniawan. "Identification Word Spacing of Erroneous Sentences on Indonesian Scientific." APTIKOM Journal on Computer Science and Information Technologies 5, no. 1 (2020): 50–53. http://dx.doi.org/10.34306/csit.v5i1.133.

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Scientific writings in Indonesian language must the rules of the General Guide to the Reformed Indonesian Spelling especially in terms of word spacing. good word spacing is proportional to the width of the typeface. generally use the align right facility in order to have article look neat in typing, but causes space from word to word over space. Additionally, according to the General Guide book for the updated Indonesian spelling, there are rules that use the distance of words with punctuation after and before punctuation. This research is intended to make for detecting applications using word spacing of the Regular Expression String algorithm and to comment on articles based on principles that are in accordance with the General Guidelines for Indonesian Reformed Spelling.
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Kaan, Edith, and Tamara Y. Swaab. "Repair, Revision, and Complexity in Syntactic Analysis: An Electrophysiological Differentiation." Journal of Cognitive Neuroscience 15, no. 1 (2003): 98–110. http://dx.doi.org/10.1162/089892903321107855.

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One of the core aspects of human sentence processing is the ability to detect errors and to recover from erroneous analysis through revision of ambiguous sentences and repair of ungrammatical sentences. In the present study, we used event-related potentials (ERPs) to help identify the nature of these processes by directly comparing ERPs to complex ambiguous sentence structures with and without grammatical violations, and to simpler unambiguous sentence structures with and without grammatical violations. In ambiguous sentences, preference of syntactic analysis was manipulated such that in one condition, the structures agreed with the preferred analysis, and in another condition, a nonpreferred but syntactically correct analysis (garden path) was imposed. Nonpreferred ambiguous structures require revision, whereas ungrammatical structures require repair. We found that distinct ERPs reflected different characteristics of syntactic processing. Specifically, our results are consistent with the idea that a positivity with a posterior distribution across the scalp (posterior P600) is an index of syntactic processing difficulty, including repair and revision, and that a frontally distributed positivity (frontal P600) is related to ambiguity resolution and/ or to an increase in discourse level complexity.
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Chang, Guanguang, Yangsen Zhang, Youren Yu, and Jiayuan Song. "PMDRSpell: Dynamic Residual Chinese Spelling Check Method Guided by Phonological and Morphological Knowledge." Electronics 13, no. 24 (2024): 4989. https://doi.org/10.3390/electronics13244989.

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Since the errors in Chinese Spell Correction (CSC) involve phonetically or morphologically confusing Chinese characters, mainstream models have made numerous attempts to fuse phonological and morphological knowledge. We observe that in erroneous sentences where the vast majority of Chinese characters are correctly written, mainstream models may unintentionally increase the difficulty of predicting these correct characters when integrating multi-modal knowledge across all characters. Additionally, these models often overlook the potential relationship between the phonological and morphological modalities of a Chinese character when utilizing multi-modal information. In this paper, we propose an end-to-end model called PMDRSpell, which models erroneous Chinese characters in sentences using their multi-modal knowledge and reduces the use of multi-modal information for correct Chinese characters. Additionally, it uncovers the relationship between phonological and morphological features based on the characteristics of phonograms, enhancing the similarity between similar Chinese characters. Specifically, coarse-grained and hierarchical detection is first employed to localize and mask error locations within sentences, using the original embedding information as residual features. Next, correlation information in the phonological and morphological modalities of the erroneous characters is extracted to construct new representational features, which are then used to update the erroneous Chinese character information within the residual features. Finally, the masked sentences are predicted using the MLM model and classified to generate correct sentences by combining the residual features with the updated multi-modal information. Our model effectively reduces the interference from correct Chinese characters during the inspection process and leverages multi-modal information to accurately correct incorrect Chinese characters. In our comparison experiments with recent state-of-the-art models, PMDRSpell outperforms the optimal baseline in terms of error-corrected F1 scores for Sighan14 and Sighan15 by 1.2 and 1.0 percentage points, respectively.
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Song, Kaiqiang, Logan Lebanoff, Qipeng Guo, et al. "Joint Parsing and Generation for Abstractive Summarization." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 8894–901. http://dx.doi.org/10.1609/aaai.v34i05.6419.

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Sentences produced by abstractive summarization systems can be ungrammatical and fail to preserve the original meanings, despite being locally fluent. In this paper we propose to remedy this problem by jointly generating a sentence and its syntactic dependency parse while performing abstraction. If generating a word can introduce an erroneous relation to the summary, the behavior must be discouraged. The proposed method thus holds promise for producing grammatical sentences and encouraging the summary to stay true-to-original. Our contributions of this work are twofold. First, we present a novel neural architecture for abstractive summarization that combines a sequential decoder with a tree-based decoder in a synchronized manner to generate a summary sentence and its syntactic parse. Secondly, we describe a novel human evaluation protocol to assess if, and to what extent, a summary remains true to its original meanings. We evaluate our method on a number of summarization datasets and demonstrate competitive results against strong baselines.
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Arya, Chandrakala, Manoj Diwakar, Prabhishek Singh, Vijendra Singh, Seifedine Kadry, and Jungeun Kim. "Multi-Document News Web Page Summarization Using Content Extraction and Lexical Chain Based Key Phrase Extraction." Mathematics 11, no. 8 (2023): 1762. http://dx.doi.org/10.3390/math11081762.

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In the area of text summarization, there have been significant advances recently. In the meantime, the current trend in text summarization is focused more on news summarization. Therefore, developing a synthesis approach capable of extracting, comparing, and ranking sentences is vital to create a summary of various news articles in the context of erroneous online data. It is necessary, however, for the news summarization system to be able to deal with multi-document summaries due to content redundancy. This paper presents a method for summarizing multi-document news web pages based on similarity models and sentence ranking, where relevant sentences are extracted from the original article. English-language articles are collected from five news websites that cover the same topic and event. According to our experimental results, our approach provides better results than other recent methods for summarizing news.
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Maarouf, Otman, Rachid El Ayachi, and Mohamed Biniz. "Correcting optical character recognition result via a novel approach." International Journal of Informatics and Communication Technology (IJ-ICT) 11, no. 1 (2022): 8. http://dx.doi.org/10.11591/ijict.v11i1.pp8-19.

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Optical character recognition (OCR) is a recognition system used to recognize the substance of a checked picture. This system gives erroneous results, which necessitates a post-treatment, for the sentence correction. In this paper, we proposed a new method for syntactic and semantic correction of sentences it is based on the frequency of two correct words in the sentence and a recursive technique. This approach starts with the frequency calculation of each two words successive in the corpora, the words that have the greatest frequency build a correction center. We found 98% using our approach when we used the noisy channel. Further, we obtained 96% using the same corpus in the same conditions.
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Dissertations / Theses on the topic "Erroneous sentences"

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Gau-WeiChen and 高維貞. "Analysis of Errors found in sentence-Making Pratices and Erroneous sentences in Compositions of the Middle-Grade Students in Elementary Schools." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/69706539304637362381.

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碩士<br>國立臺中教育大學<br>語文教育學系碩士班<br>95<br>Analysis of Errors found in the Sentence-Making Practices and Erroneous Sentences in Compositions of the Middle-Grade Students in Elementary Schools by Gau Wei-Chen Abstract The objective of this research is to study the phenomenon produced by lexical and syntactic errors that are committed by the middle-grade students in elementary schools. We took 308 students in 5 schools in Taiping City, Taichung Hsien to be our research objects. First of all, we compiled students’ sentences making practices and erroneous sentences and then used the “Surface Strategy Taxonomic”(Dulay1982) from the Error Analysis to categorize these 308 compositions and more than 10000 sentences in sentence-making practices. After encoding, error determination and copying, those were categorized into four error types: 「Addition」, 「Omission」, 「Mis-formation」and 「Mis-ordering」 and the percentage of each type was calculated. Second, the qualitative study was done by the content analysis. The main findings of this study were as follows: 1. Among all four error types made by middle grade students in elementary schools, problems of 「Addition」and 「Mis-formation」are the most serious ones. The percentage of errors found in sentence-making practices and erroneous sentences in students’ workbooks in the problem of 「Addition」 were 33% and 40% respectively and the percentage of errors found in sentence-making practices and erroneous sentences in the problem of 「Mis-formation」were 29% and 32% respectively. The combined percentage of errors found in the sentence-making and erroneous sentences in this two types of problems are 62﹪and 72﹪ respectively, which told us that 「to add to」 and 「to replace」were the written expressing strategies that the pupils most commonly used. 2. Problem of 「addition」 includes 「to use the same terms repeatedly」, 「to repeatedly use phrases with the same meanings」, 「to add unnecessary phrases」and 「to add Taiwanese mandarin phrases」. 3. Most of the 「Mis-formation」 problem are resulted from 「to directly translate dialect」, 「to use incorrect connecting words」, 「to use incorrect phrases」 and 「to have an in-proper formation」. 4. The errors in sentence-making practices and erroneous sentences found in the「Omission」problem were 25% and 19% respectively and in the「Mis-ordering」 problem were 7% and 5% respectively. The low percentage in these two problems tells us that most middle grade students in elementary schools are able to manage correct use position of phrases. But because the sentence-making practices in the 「Omission 」problem lacks of context of situation, it has a little big higher percentage than erroneous sentences. Findings of this study should help teachers to understand and correct student’s mistakes. It provides self-correction and teaching advices for sentence-making practices and composition education for elementary school students Kye words: Errors Analysis , Erroneous Sentences in Compositions, Sentence-Making Practices , Middle-Grade Students in Elementary Schools
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Huang, Shiulan, and 黃秀蘭. "The Research of the Common Erroneous Sentences in Second Grade Students Using the Method of Content Analysis." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/52380793259226645230.

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碩士<br>國立臺東大學<br>教育學系(所)<br>101<br>The aim of this research was to study the common erroneous sentences in the second grade students in an elementary school, including the comprehension of common erroneous sentences, the sentence difficulty levels, the differences between various variables and common erroneous sentences, and the correlation between common erroneous sentences and their academic achievement. The common erroneous sentences were classified into three types: the usage of phrases, the structure of sentences, and the expression of the meanings. The data collected from 89 second graders in an elementary school were analyzed with a method of content analysis using qualitative analysis, descriptive statistics, the chi-square test, and the Cramer’s V. The findings of this study are summarized as follows：1. The common erroneous sentences in the second-grade students are the structure of sentences, the usage of phrases, and the expression of the meanings. 2. Purposive clauses are more difficult for the second grade students while parallel clauses, the sentence pattern of pronouns and preposition are easier. 3. The factor “GENDER” has been found to cause differences in organizing purposive clauses. Boys are prone to making errors in the structure of sentences than girls. 4. It shows a difference on the factor “LANGUAGE AT HOME” in the purposive clauses. The students using both official language and Min-Nan language at home are prone to making more errors in the usage of phrases than the students only using official language. However, the students using only official language tend to make more errors in the sentence structure. 5. For the second grade students, there is significant correlation shown between their common erroneous sentences and their academic performances in the Chinese and mathematics courses. Finally, suggestions are available to the educators in accordance with the results of the study.
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Lin, Chin-Hsien, and 林金賢. "The Study of Erroneous Sentences of Chinese Autobiography Writing with the Networked Assessment for the Vocational High Students." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/32126752777856485000.

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碩士<br>國立臺灣師範大學<br>科技應用與人力資源發展學系<br>103<br>There have been problems in the Chinese writing for the high vocational school in Taiwan for decades. Teachers do not have enough time for instruction of the writing, and feel overloaded for criticizing students’ works. Feedback of students’ works can’t be given to the most students back immediately. Therefore, the effects of Chinese writing teaching and practices are usually not qualified and not enough. This study focuses on students’ erroneous sentences of Chinese autobiography writing. The researcher uses the concepts of dyadic Cooperative learning on the platform of networked peer assessment to solve the problems of teaching and feedback. With 92 subjects in total, the quasi experiment is held for this study. There are 3 groups included in the experiment. They are the experiment group A, the experiment group B, and the control group. All the groups use platform on the internet. The experiment A students use scores and give word comments during peer assessment; however, the experiment B ones only use scores. In the control group, teachers assess students’ works, instead of students. The results show that the group A has better learning effects on the autobiography writing and on erroneous sentences identification. In other words, networked peer assessment can help students write the Chinese autobiography and identify erroneous sentences. Furthermore, students can reduce their erroneous sentences by themselves when writing. 15 specific kinds of erroneous sentences identification are concluded for 4 items. When identifying and fixing, the results recommend that process should be divided into three steps. In the part one, punctuation marks, holomorphic typing and wrong characters should be the most important point. Then, the literal redundancy should be emphasized. Finally, instructors can focus other kinds of erroneous sentences. 15 specific kinds of erroneous sentences are too many for checking and fixing in one time. Students are recommended to identify and fix errors in their works steps by steps. Also, students can do networked peer assessment to make writing learning more effective and efficient.
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Book chapters on the topic "Erroneous sentences"

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Noreskal, Laura, Iris Eshkol-Taravella, and Marianne Desmets. "Erroneous Coordinated Sentences Detection in French Students’ Writings." In Advances in Computational Collective Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88113-9_47.

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Auziņa, Ilze, Kristīne Levāne-Petrova, Roberts Darģis, Kristīne Pokratniece, and Inga Kaija. "Latviešu valodas apguvēju korpusa (LaVA) izmantošana pētniecībā un mācību uzdevumu izstrādē." In Latviešu valodas apguve. XIII Starptautiskais baltistu kongress : rakstu krājums. Liepājas Universitāte, 2021. http://dx.doi.org/10.37384/lva.2021.142.

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The Latvian Language Learners Corpus (LaVA) developed at the Institute of Mathematics and Computer Science, University of Latvia, includes more than 1000 texts created by foreign Latvian language learners studying at Latvian higher education institutions for the first or second semester reaching A1 (possibly A2) Latvian language proficiency level. The size of the corpus is more than 180 000 words. The morphologically annotated texts have been checked manually; the language learners' errors have been manually annotated. In addition, each text is accompanied by information about the author of the text (metadata): gender, age, native language, knowledge of other languages. When analysing the data, this information can be used to determine how the learner's mother tongue and language skills, in general, affect the acquisition of the Latvian language. Users of the corpus can analyse the data both on the LaVA website (see http://lava.korpuss.lv/search) and in the SketchEngine tool, where the quantitative and qualitative analysis of the data can be performed. The quantitative approach makes it possible to find out the tendencies of the use of a word, word form, or construction and allows to determine the frequency of mistakes made by language learners. In addition, the objectivity of the research is ensured by looking at the data of language learners from different aspects and performing repeated analysis. For example, by statistically analysing the nouns used in learners' texts, it can be concluded that declension 4 nouns are most often used. The next in terms of frequency of use are declension 1, 5 and 2 nouns, while declension 3 and 6 nouns and indeclinable nouns are used very rarely. Qualitative analysis reveals certain features of morphology and word formation, including aspects of syntax, based on empirical data. It is possible to qualitatively analyse the erroneous use of nouns, verbs, or other parts of speech, trying to understand what rules determine this. For example, consider using non-reflexive verbs instead of reflexive verbs, using infinitives instead of finite forms (person forms), using a suffix that does not fit the noun paradigm, etc. According to LaVA data analysis, including learners error analysis, exercises and tests are generated. The exercises are intended to help the language learner to strengthen the linguistic competence of the Latvian language, for example, the use of verb forms in the indicative mood, both in indefinite and perfect tense forms. Exercise creation consists of three stages: (1) analysis of LaVA errors and identification of typical errors, (2) Collecting of sample sentences from various corpora of the Latvian language, for example, LVK2018, Saeima, with word forms and constructions in which language learners most often make mistakes in LaVA texts, (3) generation of different exercises using the selected sample sentences.
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Shaalan, Khaled, Marwa Magdy, and Aly Fahmy. "Morphological Analysis of Ill-Formed Arabic Verbs for Second Language Learners." In Applied Natural Language Processing. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-741-8.ch022.

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Arabic is a language of rich and complex morphology. The nature and peculiarity of Arabic make its morphological and phonological rules confusing for second language learners (SLLs). The conjugation of Arabic verbs is central to the formulation of an Arabic sentence because of its richness of form and meaning. In this research, we address issues related to the morphological analysis of ill-formed Arabic verbs in order to identify the source of errors and provide an informative feedback to SLLs of Arabic. The edit distance and constraint relaxation techniques are used to demonstrate the capability of the proposed system in generating all possible analyses of erroneous Arabic verbs written by SLLs. Filtering mechanisms are applied to exclude the irrelevant constructions and determine the target stem which is used as the base for constructing the feedback to the learner. The proposed system has been developed and effectively evaluated using real test data. It achieved satisfactory results in terms of the recall rate.
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Darwish (ed), Dina. "Artificial Intelligence Implementation in Education Processes." In Deep Science Publishing. Deep Science Publishing, 2025. https://doi.org/10.70593/978-81-984306-7-0.

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Currently, numerous issues for enhancing teaching and learning remain unaddressed. Educators pursue technology-driven methods that are secure, efficient, and scalable to meet these aims. Educators naturally question whether the swift technological advancements in daily life could be beneficial. Similar to everyone else, educators utilise AI-driven services in their daily routines, including voice assistants in their residences, tools for grammar correction, sentence completion, and essay writing, as well as automated travel planning applications on their mobile devices. A multitude of educators is currently investigating freshly emerging AI tools. Educators recognise the potential of AI-driven technologies, such as speech recognition, to enhance support for students with disabilities, multilingual learners, and others who could gain from increased adaptability and personalisation in educational digital tools. They are investigating how AI can facilitate the composition or enhancement of lessons, along with their methodology for sourcing, selecting, and modifying materials for instructional usage. Educators are cognisant of emerging threats. Beneficial and potent functionalities may potentially provide novel data privacy and security vulnerabilities. Educators acknowledge that AI can autonomously generate output that is unsuitable or erroneous. They are apprehensive that the associations or automations generated by AI may exacerbate undesirable biases.
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John, Paul, Walcir Cardoso, and Carol Johnson. "On the adequacy of L2 pronunciation feedback from automatic speech recognition: A focus on Google Translate." In Proceedings of the XXIst International CALL Research Conference. Castledown Publishers, 2022. http://dx.doi.org/10.29140/9781914291050-20.

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This study investigates automatic speech recognition (ASR) in Google Translate as a source for L2 pronunciation feedback. To be effective, ASR should transcribe learner errors accurately and perform equally well on male and female voices, avoiding gender bias. We assess Google Translate on three Quebec francophone (QF) segmental errors in English: th-substitution ( think → [t] ink ); h-deletion ( happy → appy ); and h-epenthesis ( ice → [h] ice ). Eight QFs (4F/4M) recorded 120 sentences with and without an error on the final item (e.g., I don’t know who to *tank/thank ). Errors were equally divided between real word output (* tank ) and nonword output (e.g., My sister is afraid of *tunder ). We anticipate real word errors, corresponding to entries in the Google Translate lexicon, will be accurately transcribed, whereas nonwords, by definition absent from the lexicon, should be erroneously matched to similar-sounding real words (i.e., the intended output “thunder”), constituting misleading feedback. Forthcoming data analyses will determine the relative contribution of error type, real/nonword output, and gender to final-word transcription and feedback accuracy. Preliminary findings suggest a hierarchy of accuracy (h-deletion, h-epenthesis ˃th-substitution) specific to real-word output. Indeed, ASR shows a clear inability to flag nonword errors. A gender bias effect is not apparent; in fact, ASR generally transcribed the sentences recorded by females more accurately. Mistranscriptions unrelated to final items have yet to be examined. Our presentation will address the implications of our findings for L2 teachers/learners and for developers seeking to design ASR specifically for L2 uses.
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Benedeti, Bruna Martins. "The influence of the media on the principle of the presumption of innocence in the jury trial." In CONNECTING EXPERTISE MULTIDISCIPLINARY DEVELOPMENT FOR THE FUTURE. Seven Editora, 2023. http://dx.doi.org/10.56238/connexpemultidisdevolpfut-076.

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This scientific research aimed to demonstrate the entire trajectory of the Jury Court, in the world and especially in Brazil, and its main characteristics, as well as the way in which the media use the prerogative of the prohibition of censorship by the Federal Constitution, which guarantees the freedom of journalistic information, to manipulate facts, impose opinions and influence the population. By acting in this way, the media, by portraying criminal events, violates other equally constitutional guarantees, invading privacy, presuming guilt and decreeing innocence. The research discusses the media as a means of forming public opinion and its reflections on the formation of the value judgment of the components of the sentencing council. To this end, a literature review was carried out through a bibliographic research on the subject. The study in question made clear this influence and the tragic effects it produces, as it provokes reactions in prosecutors, lawyers, jurors, witnesses and can lead to an erroneous sentence, using as an example a real case. It concludes that in the conflict between the freedom of the press and the fundamental rights of the suspect, the suspect must give way because of the suspect in order to have a fair trial, free from media influences, which demonstrates the free conviction of the jurors.
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"itors of both editions would have commonly recog-other hand, there are 12 instances of substitution nized as erroneous. The results showed that out of of semicolons with commas without influencing syn-the total of 741 punctuation variants between the tactic clarity. It should be also noted that while 103 two editions, 174 obvious errors in the 1590 edition commas were removed at the expense of pauses for were corrected and 38 fresh errors were introduced breath, particularly at line endings, 55 additions of in 1596. the comma were made both within the line and at To see the characteristics of the changes made in the end of the line. Thus the indifferent changes 1596, we have further analysed the variants exclud-reveal the compositors’ contradictory behaviour. The ing the obvious errors and classified them into three figures also show that a considerable number of categories established purely from a syntactical view-changes served to clarify the syntax. (See T. Suzuki point. In other words, contribution to the interest of 1999.) In view of this and the frequent omission of logical value is our criterion for judging whether a the comma placed for breath, we can say that the change is for the better or for the worse. Accordingly, 1596 changes in punctuation on the whole reveal a if a change clarifies the structure or meaning of a shift from rhythmical to grammatical pointing. sentence to any extent, we regard it as improving the We have confined our emendations of punctuation original punctuation, and conversely, if a change to obvious errors, adopting neither metrical value obscures the structure or meaning, we regard it as nor thought units as criteria for judging whether an deteriorating. A change that has no conceivable emendation is necessary or not, for fear that subject-significance in clarifying meaning is treated as indif-ive judgement contingent to these kinds of emenda-ferent. Thus, omission or addition of commas placed tions would be misleading, even if they are meant to for breath is taken to be indifferent, regardless of the improve the reading. In emending errors, we con-consequent effect on the metrical pattern. sulted corrections made in the early texts up to 1609 While 137 changes turned out to be improvement, and adopted them if we found them proper, on the 350 proved indifferent and 42 deteriorating. A ground that early compositors or editors were closer further analysis showed that 87 out of the total of to and more familiar with the contemporary punctu-350 indifferent changes involved semicolons replacing ation system. Otherwise, we emended them accord-commas followed by quotations, coordinate clauses, ing to the normal practice of the copy-texts." In Spenser: The Faerie Queene. Routledge, 2014. http://dx.doi.org/10.4324/9781315834696-45.

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Conference papers on the topic "Erroneous sentences"

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Araki, Tetsuo, Satorn Ikehara, Nobuyuki Tsukahara, and Yasunori Komatsu. "An evaluation to detect and correct erroneous characters wrongly substituted, deleted and inserted in Japanese and English sentences using Markov models." In the 15th conference. Association for Computational Linguistics, 1994. http://dx.doi.org/10.3115/991886.991918.

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Wu, Junshuang, Richong Zhang, Yongyi Mao, Masoumeh Soflaei Shahrbabak, and Jinpeng Huai. "Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/544.

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Abstract:
Fine-grained entity typing (FET) aims to annotate the entity mentions in a sentence with fine-grained type labels. It brings plentiful semantic information for many natural language processing tasks. Existing FET approaches apply hard attention to learn on the noisy labels, and ignore that those noises have structured hierarchical dependency. Despite their successes, these FET models are insufficient in modeling type hierarchy dependencies and handling label noises. In this paper, we directly tackle the structured noisy labels by combining a forward tree module and a backward tree module. Specifically, the forward tree formulates the informative walk that hierarchically represents the type distributions. The backward tree models the erroneous walk that learns the noise confusion matrix. Empirical studies on several benchmark data sets confirm the effectiveness of the proposed framework.
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Vargas, Danny Suarez, and Viviane Moreira. "Identifying Sentiment-Based Contradictions." In Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2016. http://dx.doi.org/10.5753/sbbd.2016.24310.

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Contradiction Analysis is a relatively new multidisciplinary and complex area with the main goal of identifying contradictory pieces of text. It can be addressed from the perspectives of different research areas such as Natural Language Processing, Opinion Mining, Information Retrieval, and Information Extraction. This paper focuses on the problem of detecting sentiment-based contradictions which occur in the sentences of a given review text. Unlike other types of contradictions, the detection of sentiment-based contradictions can be tackled as a post-processing step in the traditional sentiment analysis task. In this context, we adapted and extended an existing contradiction analysis framework by filtering its results to remove the reviews that are erroneously labeled as contradictory. The filtering method is based on two simple term similarity algorithms. An experimental evaluation on real product reviews has shown proportional improvements of up to 30% in classification accuracy and 26% in the precision of contradiction detection.
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