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Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Cowie, James Reid. "Automatic analysis of descriptive texts." Thesis, University of Strathclyde, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387066.

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Sardinha, Antonio Paulo Berber. "Automatic identification of segments in written texts." Thesis, University of Liverpool, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364227.

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Törnfeldt, Tobias. "Graph Similarity, Parallel Texts, and Automatic Bilingual Lexicon Acquisition." Thesis, Linköping University, Department of Mathematics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11550.

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<p>In this masters’ thesis report we present a graph theoretical method used for automatic bilingual lexicon acquisition with parallel texts. We analyze the concept of graph similarity and give an interpretation, of the parallel texts, connected to the vector space model. We represent the parallel texts by a directed, tripartite graph and from here use the corresponding adjacency matrix, A, to compute the similarity of the graph. By solving the eigenvalue problem ρS = ASAT + ATSA we obtain the self-similarity matrix S and the Perron root ρ. A rank k approximation of the self-similarity matrix

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AMENDUNI, FRANCESCA. "Defining and Assessing Critical Thinking: toward an automatic analysis of HiEd students’ written texts." Doctoral thesis, Università di Foggia, 2021. https://hdl.handle.net/11369/425168.

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L'obiettivo principale di questa tesi di dottorato è testare, attraverso due studi empirici, l'affidabilità di un metodo volto a valutare automaticamente le manifestazioni del Pensiero Critico (CT) nei testi scritti da studenti universitari. Gli studi empirici si sono basati su una review critica della letteratura volta a proporre una nuova classificazione per sistematizzare le diverse definizioni di CT e i relativi approcci teorici. La review esamina anche la relazione tra le diverse definizioni di CT e i relativi metodi di valutazione. Dai risultati emerge la necessità di concentrarsi s

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5

Wu, Zimin. "A partial syntactic analysis-based pre-processor for automatic indexing and retrieval of Chinese texts." Thesis, Loughborough University, 1992. https://dspace.lboro.ac.uk/2134/13685.

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Automatic indexing is the automatic creation of a text surrogate, normally keywords or phrases, to represent the original text. In the current English text retrieval systems, this process of content representation is accomplished by extracting words using spaces and punctuations as word delimiters. The same technique cannot easily be applied to Chinese texts which contain no obvious word boundaries; they appear to be a linear sequence of non-spaced or equally spaced ideographic characters and thenumber of characters in words varies. The solution to the problem lies in morphological and syntact

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Warintarawej, Pattaraporn. "Automatic Analysis of Blend Words." Thesis, Montpellier 2, 2013. http://www.theses.fr/2013MON20020.

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Mélanger des parties de mots est une façon qui peut sembler étonnante pour produire de nouvelles formes linguistiques. Cela est devenu une manière très utilisée pour inventer des noms pour le quotidien, les noms de marque, les noms utilisés dans les codes informatiques des logiciels, par exemple avec alicament (aliment and médicament), aspivenin (aspirer and venin). Il existe plusieurs façon de mélanger des mots pour en former d'autres, ce qui rend difficile l'analyse des mots produits. Dans cette thèse, nous nous proposons une approche d'analyse automatique des évocations de mots produits à l

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7

Benbrahim, Mohamed. "Automatic text summarisation through lexical cohesion analysis." Thesis, University of Surrey, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309200.

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8

Wang, Wenbo. "Automatic Emotion Identification from Text." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1440974400.

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Kay, Roderick Neil. "Text analysis, summarising and retrieval." Thesis, University of Salford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360435.

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Mlynarski, Angela, and University of Lethbridge Faculty of Arts and Science. "Automatic text summarization in digital libraries." Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2006, 2006. http://hdl.handle.net/10133/270.

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A digital library is a collection of services and information objects for storing, accessing, and retrieving digital objects. Automatic text summarization presents salient information in a condensed form suitable for user needs. This thesis amalgamates digital libraries and automatic text summarization by extending the Greenstone Digital Library software suite to include the University of Lethbridge Summarizer. The tool generates summaries, nouns, and non phrases for use as metadata for searching and browsing digital collections. Digital collections of newspapers, PDFs, and eBooks were created

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Constantin, Alexandru. "Automatic structure and keyphrase analysis of scientific publications." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/automatic-structure-and-keyphrase-analysis-of-scientific-publications(2cfe0b83-5cbb-4305-942c-031945437056).html.

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Purpose. This work addresses an escalating problem within the realm of scientific publishing, that stems from accelerated publication rates of article formats difficult to process automatically. The amount of manual labour required to organise a comprehensive corpus of relevant literature has long been impractical. This has, in effect, reduced research efficiency and delayed scientific advancement. Two complementary approaches meant to alleviate this problem are detailed and improved upon beyond the current state-of-the-art, namely logical structure recovery of articles and keyphrase extractio

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Kolla, Maheedhar, and University of Lethbridge Faculty of Arts and Science. "Automatic text summarization using lexical chains : algorithms and experiments." Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2004, 2004. http://hdl.handle.net/10133/226.

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Summarization is a complex task that requires understanding of the document content to determine the importance of the text. Lexical cohesion is a method to identify connected portions of the text based on the relations between the words in the text. Lexical cohesive relations can be represented using lexical chaings. Lexical chains are sequences of semantically related words spread over the entire text. Lexical chains are used in variety of Natural Language Processing (NLP) and Information Retrieval (IR) applications. In current thesis, we propose a lexical chaining method that includes the g

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13

Shou-Chun, Yin 1980. "Speaker adaptation in joint factor analysis based text independent speaker verification." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=100735.

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This thesis presents methods for supervised and unsupervised speaker adaptation of Gaussian mixture speaker models in text-independent speaker verification. The proposed methods are based on an approach which is able to separate speaker and channel variability so that progressive updating of speaker models can be performed while minimizing the influence of the channel variability associated with the adaptation recordings. This approach relies on a joint factor analysis model of intrinsic speaker variability and session variability where inter-session variation is assumed to result primarily fr

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Keskes, Iskandar. "Discourse analysis of arabic documents and application to automatic summarization." Thesis, Toulouse 3, 2015. http://www.theses.fr/2015TOU30023/document.

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Dans un discours, les textes et les conversations ne sont pas seulement une juxtaposition de mots et de phrases. Ils sont plutôt organisés en une structure dans laquelle des unités de discours sont liées les unes aux autres de manière à assurer à la fois la cohérence et la cohésion du discours. La structure du discours a montré son utilité dans de nombreuses applications TALN, y compris la traduction automatique, la génération de texte et le résumé automatique. L'utilité du discours dans les applications TALN dépend principalement de la disponibilité d'un analyseur de discours performant. Pour

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Hopton, Sarah Beth. "Evidence of Things Not Seen: A Semi-Automated Descriptive Phrase and Frame Analysis of Texts about the Herbicide Agent Orange." Scholar Commons, 2015. http://scholarcommons.usf.edu/etd/5705.

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From 1961 to 1971 the United States and the Republic of South Vietnam used chemicals to defoliate the coastal and upload forest areas of Viet Nam. The most notorious of these chemicals was named Agent Orange, a weaponized herbicide made up of two chemicals that, when combined, produced a toxic byproduct called TCDD-dioxin. Studied suggest that TCDD-dioxin causes significant human health problems in exposed American and Vietnamese veterans, and possibly their children (Agency, U.S. Environmental Protection, 2011). In the years since the end of the Vietnam War, volumes of discourse about Agent O

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Loe, Bao Sheng. "The effectiveness of automatic item generation for the development of cognitive ability tests." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/289990.

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Research has shown that the increased use of computer-based testing has brought about new challenges. With the ease of online test administration, a large number of items are necessary to maintain the item bank and minimise the exposure rate. However, the traditional item development process is time-consuming and costly. Thus, alternative ways of creating items are necessary to improve the item development process. Automatic Item Generation (AIG) is an effective method in generating items rapidly and efficiently. AIG uses algorithms to create questions for testing purposes. However, many of th

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Delisle, Sylvain. "Text processing without a priori domain knowledge: Semi-automatic linguistic analysis for incremental knowledge acquisition." Thesis, University of Ottawa (Canada), 1994. http://hdl.handle.net/10393/6574.

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Technical texts are an invaluable source of the domain-specific knowledge which plays a crucial role in advanced knowledge-based systems today. However, acquiring such knowledge has always been a major difficulty in the construction of these systems--this critical obstacle is sometimes referred to as the "knowledge acquisition bottleneck". In order to lessen the burden on the knowledge engineer's shoulders, several approaches have been proposed in the literature. A few of these suggest processing texts pertaining to the domain of interest in order to extract the knowledge they contain and thus

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Lee, Spencer Jaehoon Gilbert Juan E. "Post-speech-recognition processiing in domain-specific text-corpus-based distributed listening system analysis, interpretation and selection of speech recognition results /." Auburn, Ala., 2006. http://repo.lib.auburn.edu/2006%20Summer/Theses/LEE_SPENCER_7.pdf.

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Zhu, Winstead Xingran. "Hotspot Detection for Automatic Podcast Trailer Generation." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-444887.

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With podcasts being a fast growing audio-only form of media, an effective way of promoting different podcast shows becomes more and more vital to all the stakeholders concerned, including the podcast creators, the podcast streaming platforms, and the podcast listeners. This thesis investigates the relatively little studied topic of automatic podcast trailer generation, with the purpose of en- hancing the overall visibility and publicity of different podcast contents and gen- erating more user engagement in podcast listening. This thesis takes a hotspot- based approach, by specifically defining

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Dias, Marcelo dos Santos. "Detecção não supervisionada de posicionamento em textos de tweets." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/169098.

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Detecção de posicionamento é a tarefa de automaticamente identificar se o autor de um texto é favorável, contrário, ou nem favorável e nem contrário a uma dada proposição ou alvo. Com o amplo uso do Twitter como plataforma para expressar opiniões e posicionamentos, a análise automatizada deste conteúdo torna-se de grande valia para empresas, organizações e figuras públicas. Em geral, os trabalhos que exploram tal tarefa adotam abordagens supervisionadas ou semi-supervisionadas. O presente trabalho propõe e avalia um processo não supervisionado de detecção de posicionamento em textos de tweets

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AbuRa'ed, Ahmed Ghassan Tawfiq. "Automatic generation of descriptive related work reports." Doctoral thesis, Universitat Pompeu Fabra, 2020. http://hdl.handle.net/10803/669975.

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A related work report is a section in a research paper which integrates key information from a list of related scientific papers providing context to the work being presented. Related work reports can either be descriptive or integrative. Integrative related work reports provide a high-level overview and critique of the scientific papers by comparing them with each other, providing fewer details of individual studies. Descriptive related work reports, instead, provide more in-depth information about each mentioned study providing information such as methods and results of the cited works. In

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22

Tapaswi, Makarand Murari [Verfasser], and R. [Akademischer Betreuer] Stiefelhagen. "Story Understanding through Semantic Analysis and Automatic Alignment of Text and Video / Makarand Murari Tapaswi. Betreuer: R. Stiefelhagen." Karlsruhe : KIT-Bibliothek, 2016. http://d-nb.info/1108450725/34.

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Mysore, Gopinath Abhijith Athreya. "Automatic Detection of Section Title and Prose Text in HTML Documents Using Unsupervised and Supervised Learning." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535371714338677.

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Pizzol, Martino. "Entity extraction e text classification come strumenti per la sentiment analysis di testi giornalistici." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8396/.

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In this thesis we are going to talk about technologies which allow us to approach sentiment analysis on newspapers articles. The final goal of this work is to help social scholars to do content analysis on big corpora of texts in a faster way thanks to the support of automatic text classification.

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Le, Thien-Hoa. "Neural Methods for Sentiment Analysis and Text Summarization." Electronic Thesis or Diss., Université de Lorraine, 2020. http://www.theses.fr/2020LORR0037.

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Cette thèse aborde deux questions majeures du traitement automatique du langage naturel liées à l'analyse sémantique des textes : la détection des sentiments, et le résumé automatique. Dans ces deux applications, la nécessité d'analyser le sens du texte de manière précise est primordiale, d'une part pour identifier le sentiment exprimé au travers des mots, et d'autre part pour extraire les informations saillantes d’une phrase complexe et les réécrire de la manière la plus naturelle possible tout en respectant la sémantique du texte d'origine. Nous abordons ces deux questions par des approches

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Tout, Karim. "Automatic Vision System for Surface Inspection and Monitoring : Application to Wheel Inspection." Thesis, Troyes, 2018. http://www.theses.fr/2018TROY0008.

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L'inspection visuelle des produits industriels a toujours été l'une des applications les plus reconnues du contrôle de qualité. Cette inspection reste en grande partie un processus manuel mené par des opérateurs et ceci rend l’opération peu fiable. Par conséquent, il est nécessaire d'automatiser cette inspection pour une meilleure efficacité. L'objectif principal de cette thèse est de concevoir un système d'inspection visuelle automatique pour l'inspection et la surveillance de la surface du produit. L'application spécifique de l'inspection de roues est considérée pour étudier la conception et

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Chen, Wei. "Formal Modeling and Automatic Generation of Test Cases for the Autonomous Vehicle." Electronic Thesis or Diss., université Paris-Saclay, 2020. http://www.theses.fr/2020UPASG002.

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Les véhicules autonomes reposent principalement sur un pilote de système intelligent pour réaliser les fonctions de la conduite autonome. Ils combinent une variété de capteurs (caméras, radars, lidars,..) pour percevoir leurs environnements. Les algorithmes de perception des ADSs (Automated Driving Systems) fournissent des observations sur les éléments environnementaux à partir des données fournies par les capteurs, tandis que les algorithmes de décision génèrent les actions à mettre en oeuvre par les véhicules. Les ADSs sont donc des systèmes critiques dont les pannes peuvent avoir des conséq

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Luiro, V. (Vesa). "Acquisition and analysis of performance data for mobile devices." Doctoral thesis, University of Oulu, 2003. http://urn.fi/urn:isbn:9514271319.

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Abstract Electronic industry is developing advanced and versatile products to satisfy customers' needs. It is also creating new needs, which expand the market further. This highly competitive field forces companies to produce continuously better, and hence more complex, products at an increasingly fast rate. This is particularly true of the mobile phone industry, which pursues higher volumes and penetration rates throughout the world. Very high volumes and extreme complexity require intensive research and a commitment to high product quality. Mobile phone manufacturers must commit themselves t

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Avenberg, Anna. "Automatic language identification of short texts." Thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-421032.

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The world is growing more connected through the use of online communication, exposing software and humans to all the world's languages. While devices are able to understand and share the raw data between themselves and with humans, the information itself is not expressed in a monolithic format. This causes issues both in the human to computer interaction and human to human communication. Automatic language identification (LID) is a field within artificial intelligence and natural language processing that strives to solve a part of these issues by identifying languages from text, sign language

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Moens, Marie-Francine. "Automatic indexing and abstracting of document texts /." Boston, Mass. [u.a.] : Kluwer Academic Publ, 2000. http://www.loc.gov/catdir/enhancements/fy0820/00020394-d.html.

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Moncla, Ludovic. "Automatic Reconstruction of Itineraries from Descriptive Texts." Thesis, Pau, 2015. http://www.theses.fr/2015PAUU3029/document.

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Cette thèse s'inscrit dans le cadre du projet PERDIDO dont les objectifs sont l'extraction et la reconstruction d'itinéraires à partir de documents textuels. Ces travaux ont été réalisés en collaboration entre le laboratoire LIUPPA de l'université de Pau et des Pays de l'Adour (France), l'équipe IAAA de l'université de Saragosse (Espagne) et le laboratoire COGIT de l'IGN (France). Les objectifs de cette thèse sont de concevoir un système automatique permettant d'extraire, dans des récits de voyages ou des descriptions d’itinéraires, des déplacements, puis de les représenter sur une carte. Nous

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Mpouli, Njanga Seh Suzanne Patience. "Automatic annotation of similes in literary texts." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066298/document.

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Cette thèse aborde le problème de la détection automatique des comparaisons figuratives dans des textes littéraires en prose écrits en français ou en anglais et propose un canevas pour décrire ces comparaisons d’un point de vue stylistique. Une comparaison figurative correspond ici à toute structure syntaxique qui met en parallèle au moins deux entités, déroge au principe de compositionnalité et crée une image mentale dans l’esprit de ceux à qui elle est destinée.Trois éléments principaux distinguent notre approche des travaux précédents : son ancrage dans les théories linguistiques et cogniti

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Mpouli, Njanga Seh Suzanne Patience. "Automatic annotation of similes in literary texts." Electronic Thesis or Diss., Paris 6, 2016. http://www.theses.fr/2016PA066298.

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Cette thèse aborde le problème de la détection automatique des comparaisons figuratives dans des textes littéraires en prose écrits en français ou en anglais et propose un canevas pour décrire ces comparaisons d’un point de vue stylistique. Une comparaison figurative correspond ici à toute structure syntaxique qui met en parallèle au moins deux entités, déroge au principe de compositionnalité et crée une image mentale dans l’esprit de ceux à qui elle est destinée.Trois éléments principaux distinguent notre approche des travaux précédents : son ancrage dans les théories linguistiques et cogniti

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Johansson, Elias. "Separation and Extraction of Valuable Information From Digital Receipts Using Google Cloud Vision OCR." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-88602.

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Automatization is a desirable feature in many business areas. Manually extracting information from a physical object such as a receipt is something that can be automated to save resources for a company or a private person. In this paper the process will be described of combining an already existing OCR engine with a developed python script to achieve data extraction of valuable information from a digital image of a receipt. Values such as VAT, VAT%, date, total-, gross-, and net-cost; will be considered as valuable information. This is a feature that has already been implemented in existing ap

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Cederblad, Gustav. "Finding Synonyms in Medical Texts : Creating a system for automatic synonym extraction from medical texts." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-149643.

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This thesis describes the work of creating an automatic system for identifying synonyms and semantically related words in medical texts. Before this work, as a part of the project E-care@home, medical texts have been classified as either lay or specialized by both a lay annotator and an expert annotator. The lay annotator, in this case, is a person without any medical knowledge, whereas the expert annotator has professional knowledge in medicine. Using these texts made it possible to create co-occurrences matrices from which the related words could be identified. Fifteen medical terms were cho

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Karlova-Bourbonus, Natali [Verfasser]. "Automatic detection of contradictions in texts / Natali Karlova-Bourbonus." Gießen : Universitätsbibliothek, 2019. http://d-nb.info/1184788324/34.

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Barker, Ken. "Semi-automatic recognition of semantic relationships in English technical texts." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/NQ36763.pdf.

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Frunza, Oana Magdalena. "Personalized Medicine through Automatic Extraction of Information from Medical Texts." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/22724.

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The wealth of medical-related information available today gives rise to a multidimensional source of knowledge. Research discoveries published in prestigious venues, electronic-health records data, discharge summaries, clinical notes, etc., all represent important medical information that can assist in the medical decision-making process. The challenge that comes with accessing and using such vast and diverse sources of data stands in the ability to distil and extract reliable and relevant information. Computer-based tools that use natural language processing and machine learning

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Sudhahar, Saatviga. "Automated analysis of narrative text using network analysis in large corpora." Thesis, University of Bristol, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.685924.

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In recent years there has been an increased interest in computational social sciences, digital humanities and political sciences to perform automated quantitative narrative analysis (QNA) of text in large scale, by studying actors, actions and relations in a given narration. Social scientists have always relied on news media content to study opinion biases and extraction of socio-historical relations and events. Yet in order to perform analysis they had to face labour-intensive coding where basic narrative information was manually extracted from text and annotated by hand. This PhD thesis addr

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Schneider, Michael. "Analysis of Features Composing an Automated Text Readability Formula." Digital Commons @ East Tennessee State University, 2013. https://dc.etsu.edu/honors/63.

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In an effort to make reading more accessible, an automated readability formula can help pair readers with material appropriate for their reading level. This study attempts to discover and analyze a set of possible features that may be included in a future automated readability formula. This set is not a definitive list of readability formula features, but rather an overview of current features being study in the Natural Language Processing field.

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Batali, John Dino. "Automatic acquisition and use of some of the knowledge in physics texts." Thesis, Massachusetts Institute of Technology, 1991. http://hdl.handle.net/1721.1/98596.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1991.<br>Includes bibliographical references (p. 204-226).<br>by John Dino Batali.<br>Ph.D.

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Yang, Seungwon. "Automatic Identification of Topic Tags from Texts Based on Expansion-Extraction Approach." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/25111.

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Identifying topics of a textual document is useful for many purposes. We can organize the documents by topics in digital libraries. Then, we could browse and search for the documents with specific topics. By examining the topics of a document, we can quickly understand what the document is about. To augment the traditional manual way of topic tagging tasks, which is labor-intensive, solutions using computers have been developed. This dissertation describes the design and development of a topic identification approach, in this case applied to disaster events. In a sense, this study repres

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Delgado, Diogo Miguel Melo. "Automated illustration of multimedia stories." Master's thesis, Faculdade de Ciências e Tecnologia, 2010. http://hdl.handle.net/10362/4478.

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Submitted in part fulfillment of the requirements for the degree of Master in Computer Science<br>We all had the problem of forgetting about what we just read a few sentences before. This comes from the problem of attention and is more common with children and the elderly. People feel either bored or distracted by something more interesting. The challenge is how can multimedia systems assist users in reading and remembering stories? One solution is to use pictures to illustrate stories as a mean to captivate ones interest as it either tells a story or makes the viewer imagine one. This thesi

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Tribble, Chris. "Writing difficult texts." Thesis, Lancaster University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287113.

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Li, Weixi. "Automatic Log Analysis using Machine Learning : Awesome Automatic Log Analysis version 2.0." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-211626.

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Many problems exist in the testing of a large scale system. The automated testing results are not reliable enough and manual log analysis is indispensable when automated testing cannot figure out the problems. However, it requires much expert knowledge, costs too much and is time consuming to do manual log analysis for alarge scale system. In this project, we propose to apply machine learning techniques to do automated log analysis as they are effective and efficient to big data problems. Features from the contents of the logs are extracted and clustering algorithms are leveraged to detect abn

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Mdumela, Tsakani Amos. "A genre analysis of texts in Xitsonga." Thesis, Stellenbosch : Stellenbosch University, 2002. http://hdl.handle.net/10019.1/49715.

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Thesis (PhD)--University of Stellenbosch, 2002.<br>ENGLISH ABSTRACT: The recent introduction of the outcomes-based curriculum for the learning field language, literacy and communication has revealed a number of essential areas of research in African languages that urgently need to be addressed if this curriculum for African Languages is to be successfully implemented with the necessary theoretical basis as support. This dissertation addresses one such research issue, the genre-based approach to Xitsonga texts within the broad field of language and literacy. This study wil] first explore

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Starr, John Michael. "Quantitative analysis of the Aramaic Qumran texts." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/8947.

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Ηirbet-Qumran lies about 15km south of Jericho. Between 1947 and 1956 eleven caves were discovered that contained thousands of fragments, mainly of prepared animal skin, representing approximately 900 texts many of which are considered copies. Over 100 of these texts are in Aramaic, though many are short fragments. The provenance of these texts is uncertain, but the fact that copies of some of them are known from beyond Qumran indicates that not all the Aramaic texts found at Qumran are likely to have originated there, though Qumran may have been a site where they were copied. Hitherto, this A

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Jancsary, Dennis, Markus Höllerer, and Renate Meyer. "Critical analysis of visual and multimodal texts." SAGE, 2016. http://epub.wu.ac.at/6126/1/Dennis_etal_2016_SAGE%2Dcritical%2Danalysis.pdf.

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Larsson, Petter. "Automatic Visual Behavior Analysis." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1980.

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<p>This work explores the possibilities of robust, noise adaptive and automatic segmentation of driver eye movements into comparable quantities as defined in the ISO 15007 and SAE J2396 standards for in-vehicle visual demand measurements. Driver eye movements have many potential applications, from the detection of driver distraction, drowsiness and mental workload, to the optimization of in-vehicle HMIs. This work focuses on SeeingMachines head and eye-tracking system SleepyHead (or FaceLAB), but is applicable to data from other similar eye-tracking systems. A robust and noise adaptive hybrid

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Amini, Reza. "Automatic Analysis of Dreams." Thèse, Université d'Ottawa / University of Ottawa, 2011. http://hdl.handle.net/10393/20290.

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In a scientific study of dream content, artificial intelligence has been utilized to automatically score dream content. An initial attempt focused on scoring for emotional tone of dream reports. The contribution of this thesis demonstrates methods by which accuracy of such a system can be improved beyond text-mining. It was hypothesized that data extraction based on psychological processes will provide significant information that would produce an accurate model. In our first article, the significance of words expressed in dream reports, along with their associated words was explored. Extracti

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