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Dissertations / Theses on the topic 'Text-To-Text Generation'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 June 2024

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1

Konstas, Ioannis. "Joint models for concept-to-text generation." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/8926.

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Much of the data found on the world wide web is in numeric, tabular, or other nontextual format (e.g., weather forecast tables, stock market charts, live sensor feeds), and thus inaccessible to non-experts or laypersons. However, most conventional search engines and natural language processing tools (e.g., summarisers) can only handle textual input. As a result, data in non-textual form remains largely inaccessible. Concept-to-text generation refers to the task of automatically producing textual output from non-linguistic input, and holds promise for rendering non-linguistic data widely access

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2

Gkatzia, Dimitra. "Data-driven approaches to content selection for data-to-text generation." Thesis, Heriot-Watt University, 2015. http://hdl.handle.net/10399/3003.

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Data-to-text systems are powerful in generating reports from data automatically and thus they simplify the presentation of complex data. Rather than presenting data using visualisation techniques, data-to-text systems use human language, which is the most common way for human-human communication. In addition, data-to-text systems can adapt their output content to users’ preferences, background or interests and therefore they can be pleasant for users to interact with. Content selection is an important part of every data-to-text system, because it is the module that decides which from the avail

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3

Cohen, Aaron Seth 1974. "Automatic generation of fundamental frequency for text-to-speech synthesis." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/43501.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.<br>Includes bibliographical references (p. 82-86).<br>by Aaron Seth Cohen.<br>M.Eng.

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4

Keshtkar, Fazel. "A Computational Approach to the Analysis and Generation of Emotion in Text." Thèse, Université d'Ottawa / University of Ottawa, 2011. http://hdl.handle.net/10393/20137.

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Sentiment analysis is a field of computational linguistics involving identification, extraction, and classification of opinions, sentiments, and emotions expressed in natural language. Sentiment classification algorithms aim to identify whether the author of a text has a positive or a negative opinion about a topic. One of the main indicators which help to detect the opinion are the words used in the texts. Needless to say, the sentiments expressed in the texts also depend on the syntactic structure and the discourse context. Supervised machine learning approaches to sentiment classification

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5

Norris, Jennifer Vivien. "The generation of compound nominals to represent the essence of text : the COMMIX system." Thesis, University of Brighton, 1998. http://hdl.handle.net/10026.1/2453.

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This thesis concerns the COMMIX system, which automatically extracts information on what a text is about, and generates that information in the highly compacted form of compound nominal expressions. The expressions generated are complex and may include novel terms which do not appear themselves in the input text. From the practical point of view, the work is driven by the need for better representations of content: for representations which are shorter and more concise than would appear in an abstract, yet more informative and representative of the actual aboutness than commonly occurs in inde

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6

Patten, Terry A. "Interpreting systemic grammar as a computational representation : a problem solving approach to text generation." Thesis, University of Edinburgh, 1986. http://hdl.handle.net/1842/19223.

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7

Hill, Geoffrey. "Sensemaking in Big Data: Conceptual and Empirical Approaches to Actionable Knowledge Generation from Unstructured Text Streams." Kent State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=kent1433597354.

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8

Faille, Juliette. "Data-Based Natural Language Generation : Evaluation and Explainability." Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0305.

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Les modèles de génération de langage naturel (NLG) ont récemment atteint de très hautes performances. Les textes qu'ils produisent sont généralement corrects sur le plan grammatical et syntaxique, ce qui les rend naturels. Bien que leur sens soit correct dans la grande majorité des cas, même les modèles de NLG les plus avancés produisent encore des textes avec des significations partiellement inexactes. Dans cette thèse, en nous concentrons sur le cas particulier des problèmes liés au contenu des textes générés, nous proposons d'évaluer et d'analyser les modèles utilisés dans les tâches de ver

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9

Pereira, José Casimiro. "Natural language generation in the context of multimodal interaction in Portuguese : Data-to-text based in automatic translation." Doctoral thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/21767.

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Doutoramento em Informática<br>Resumo em português não disponivel<br>To enable the interaction by text and/or speech it is essential that we devise systems capable of translating internal data into sentences or texts that can be shown on screen or heard by users. In this context, it is essential that these natural language generation (NLG) systems provide sentences in the native languages of the users (in our case European Portuguese) and enable an easy development and integration process while providing an output that is perceived as natural. The creation of high quality NLG systems is

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10

Narayan, Shashi. "Generating and simplifying sentences." Thesis, Université de Lorraine, 2014. http://www.theses.fr/2014LORR0166/document.

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Selon la représentation d’entrée, cette thèse étudie ces deux types : la génération de texte à partir de représentation de sens et à partir de texte. En la première partie (Génération des phrases), nous étudions comment effectuer la réalisation de surface symbolique à l’aide d’une grammaire robuste et efficace. Cette approche s’appuie sur une grammaire FB-LTAG et prend en entrée des arbres de dépendance peu profondes. La structure d’entrée est utilisée pour filtrer l’espace de recherche initial à l’aide d’un concept de filtrage local par polarité afin de paralléliser les processus. Afin nous p

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11

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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12

Green, Pamela Dilys. "Extracting group relationships within changing software using text analysis." Thesis, University of Hertfordshire, 2013. http://hdl.handle.net/2299/11896.

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This research looks at identifying and classifying changes in evolving software by making simple textual comparisons between groups of source code files. The two areas investigated are software origin analysis and collusion detection. Textual comparison is attractive because it can be used in the same way for many different programming languages. The research includes the first major study using machine learning techniques in the domain of software origin analysis, which looks at the movement of code in an evolving system. The training set for this study, which focuses on restructured files, i

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13

Narayan, Shashi. "Generating and simplifying sentences." Electronic Thesis or Diss., Université de Lorraine, 2014. http://www.theses.fr/2014LORR0166.

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Selon la représentation d’entrée, cette thèse étudie ces deux types : la génération de texte à partir de représentation de sens et à partir de texte. En la première partie (Génération des phrases), nous étudions comment effectuer la réalisation de surface symbolique à l’aide d’une grammaire robuste et efficace. Cette approche s’appuie sur une grammaire FB-LTAG et prend en entrée des arbres de dépendance peu profondes. La structure d’entrée est utilisée pour filtrer l’espace de recherche initial à l’aide d’un concept de filtrage local par polarité afin de paralléliser les processus. Afin nous p

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14

Grant, Harald. "Extractive Multi-document Summarization of News Articles." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158275.

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Publicly available data grows exponentially through web services and technological advancements. To comprehend large data-streams multi-document summarization (MDS) can be used. In this research, the area of multi-document summarization is investigated. Multiple systems for extractive multi-document summarization are implemented using modern techniques, in the form of the pre-trained BERT language model for word embeddings and sentence classification. This is combined with well proven techniques, in the form of the TextRank ranking algorithm, the Waterfall architecture and anti-redundancy filt

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15

Shimorina, Anastasia. "Natural Language Generation : From Data Creation to Evaluation via Modelling." Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0080.

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La génération en langue naturelle (natural language generation, NLG) est le processus qui consiste à générer du texte dans une langue naturelle à partir de données d’entrée. Ces entrées peuvent prendre la forme de textes, de documents, d’images, de tableaux, de graphes (réseaux de connaissances), de bases de données, d’actes de dialogue, ou d’autres représentations sémantiques. Les méthodes récentes en NLG, principalement basées sur des modèles neuronaux, ont apporté des améliorations significatives. Malgré ces récents progrès, de nombreux problèmes liés à la tâche de génération subsistent, te

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16

Foster, Mary Ellen. "Automatically generating text to accompany information graphics." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0001/MQ45946.pdf.

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17

Sheriff, Waseem. "Learning to predict text quality using Generative Adversarial Networks." Thesis, KTH, Numerisk analys, NA, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264109.

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Generating summaries of long text articles is a common application in natural language processing. Automatic text summarization models often find themselves generating summaries that don’t resemble the quality of human written text, even though they preserve factual accuracy. In this thesis, a method to improve quality of summaries is created by combining loss functions from an existing baseline competitive model (Pointer Generator Networks) for abstractive text summarization with SeqGAN - a successful text generation algorithm based on Generative Adversarial Networks. The model is tested on t

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Richa, Elie. "Qualification des générateurs de code source dans le domaine de l'avionique : le test automatisé des chaines de transformation de modèles." Thesis, Paris, ENST, 2015. http://www.theses.fr/2015ENST0082/document.

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Dans l’industrie de l’avionique, les Générateurs Automatiques de Code (GAC) sont de plus en plus utilisés pour produire des parties du logiciel embarqué. Puisque le code généré fait partie d’un logiciel critique, les standards de sûreté exigent une vérification approfondie du GAC: la qualification. Dans cette thèse en collaboration avec AdaCore, nous cherchons à réduire le coût des activités de test par des méthodes automatiques et efficaces.La première partie de la thèse aborde le sujet du test unitaire qui assure une exhaustivité élevée mais qui est difficile à réaliser pour les GACs. Nous p

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Richa, Elie. "Qualification des générateurs de code source dans le domaine de l'avionique : le test automatisé des chaines de transformation de modèles." Electronic Thesis or Diss., Paris, ENST, 2015. http://www.theses.fr/2015ENST0082.

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Dans l’industrie de l’avionique, les Générateurs Automatiques de Code (GAC) sont de plus en plus utilisés pour produire des parties du logiciel embarqué. Puisque le code généré fait partie d’un logiciel critique, les standards de sûreté exigent une vérification approfondie du GAC: la qualification. Dans cette thèse en collaboration avec AdaCore, nous cherchons à réduire le coût des activités de test par des méthodes automatiques et efficaces.La première partie de la thèse aborde le sujet du test unitaire qui assure une exhaustivité élevée mais qui est difficile à réaliser pour les GACs. Nous p

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20

Chiu, Pei-Wen Andy. "From Atoms to the Solar System: Generating Lexical Analogies from Text." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/2943.

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A <em>lexical analogy</em> is two pairs of words (<em>w</em><sub>1</sub>, <em>w</em><sub>2</sub>) and (<em>w</em><sub>3</sub>, <em>w</em><sub>4</sub>) such that the relation between <em>w</em><sub>1</sub> and <em>w</em><sub>2</sub> is identical or similar to the relation between <em>w</em><sub>3</sub> and <em>w</em><sub>4</sub>. For example, (<em>abbreviation</em>, <em>word</em>) forms a lexical analogy with (<em>abstract</em>, <em>report</em>), because in both cases the former is a shortened version of the latter. Lexical analogies are of theoretic interest because they represent a seco

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21

Igeland, Viktor. "Generating Facial Animation With Emotions In A Neural Text-To-Speech Pipeline." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160535.

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This thesis presents the work of incorporating facial animation with emotions into a neural text-to-speech pipeline. The project aims to allow for a digital human to utter sentences given only text, removing the need for video input. Our solution consists of a neural network able to generate blend shape weights from speech which is placed in a neural text-to-speech pipeline. We build on ideas from previous work and implement a recurrent neural network using four LSTM layers and later extend this implementation by incorporating emotions. The emotions are learned by the network itself via the em

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22

Bejiga, Mesay Belete. "Adversarial approaches to remote sensing image analysis." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/257100.

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The recent advance in generative modeling in particular the unsupervised learning of data distribution is attributed to the invention of models with new learning algorithms. Among the methods proposed, generative adversarial networks (GANs) have shown to be the most efficient approaches to estimate data distributions. The core idea of GANs is an adversarial training of two deep neural networks, called generator and discriminator, to learn an implicit approximation of the true data distribution. The distribution is approximated through the weights of the generator network, and interaction with

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Bejiga, Mesay Belete. "Adversarial approaches to remote sensing image analysis." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/257100.

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The recent advance in generative modeling in particular the unsupervised learning of data distribution is attributed to the invention of models with new learning algorithms. Among the methods proposed, generative adversarial networks (GANs) have shown to be the most efficient approaches to estimate data distributions. The core idea of GANs is an adversarial training of two deep neural networks, called generator and discriminator, to learn an implicit approximation of the true data distribution. The distribution is approximated through the weights of the generator network, and interaction with

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Wu, Kuan-Sheng, and 吳冠陞. "Exploiting Sequence-to-Sequence Generation Framework for Automatic Text Summarization- A Case Study of Chinese Text." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/vasejc.

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碩士<br>國立交通大學<br>管理學院資訊管理學程<br>107<br>In the age of information communication technology, finding out the required information is a significant research topic and Automatic Text Summarization is one of the choices. Currently Chinese is one of the most speaking languages in the world, thus it is required to study this language on this technology. The purpose of the study is to explore Natural Language Processing (NLP) regarding Chinese language employing the Bidirectional and Unidirectional Recurrent Neural Network to form a Sequence to Sequence structure, also with the Attention mechanism and W

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Che-Cheng, Yu, and 游哲誠. "A Seq2seq Generation-Based Approach to Short Text Conversation." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/j5n89x.

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碩士<br>朝陽科技大學<br>資訊工程系<br>106<br>Dialogue systems are quite common and used by many companies. But most of the dialogue system use rule-based or retrieve-based approach to reply users. The replies are predefined with less diversity. In recent years, many studies try to build systems that can generate responses. In this study, we use advanced learning technology Seq2seq to build such a system that can generate a short dialog (Short text conversation, STC). We participate the NTCIR-13 on STC-2 Generation-based sub-task. Organizers provided simplified Chinese data set. But most of the data is not

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Ulinski, Morgan Elizabeth. "Leveraging Text-to-Scene Generation for Language Elicitation and Documentation." Thesis, 2019. https://doi.org/10.7916/d8-2wmg-2230.

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Text-to-scene generation systems take input in the form of a natural language text and output a 3D scene illustrating the meaning of that text. A major benefit of text-to-scene generation is that it allows users to create custom 3D scenes without requiring them to have a background in 3D graphics or knowledge of specialized software packages. This contributes to making text-to-scene useful in scenarios from creative applications to education. The primary goal of this thesis is to explore how we can use text-to-scene generation in a new way: as a tool to facilitate the elicitation and formal do

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Fu, Zhen-Hong, and 傅振宏. "Automatic Generation of Synthesis Units for Taiwanese Text-to-Speech System." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/46706238089789082381.

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碩士<br>長庚大學<br>電機工程研究所<br>88<br>In this thesis, we’ll demonstrate a Taiwanese (Min-nan) text-to-speech (TTS) system based on automatically generated synthetic units. It can read out any modern Taiwanese articles rather naturally. This TTS system is composed of 3 functional modules, namely a text analysis module, a prosody module, and a waveform synthesis module. Modern Taiwanese texts consist of Chinese characters and English alphabets simultaneously. For this reason, the text analysis module should be able to deal with the Chinese-English mixed texts first of all. In this module, te

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Yang, Fei-Chun, and 楊斐鈞. "The Practice of Syntopical Reading Model for Deep Learning: Using Multi-text Reading and Discussion to Improve Students’ Idea Generation and Text Comprehension." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/4843bu.

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碩士<br>國立中央大學<br>網路學習科技研究所<br>105<br>According to the investigation of the present teaching site found that most of the students to read the textbooks and less reading extracurricular materials. For example, the textbooks are too focusing specific domain knowledge to make students lack the diversity of knowledge. On the other hand, students have to read the textbook from different sources within learning. To this end, this study proposed a syntopical reading model for deep learning, which provided multiple theme-based texts for students to read to solve the limitations and difficulties in the

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CAI, JUN-YU, and 蔡俊裕. "A study on the generation of syllable synthesis unit for mandarin text-to-speech." Thesis, 1991. http://ndltd.ncl.edu.tw/handle/04478308880965884964.

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Chen, Jau-Hung, and 陳昭宏. "A Study on Synthesis Unit Selection and Prosodic Information Generation in a Chinese Text-to-Speech System." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/74871225642803891214.

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博士<br>國立成功大學<br>資訊工程學系<br>86<br>In this dissertation, some approaches to synthesis unit selection and prosodicinformation generation are proposed for Chinese text-to-speech conversion. The monosyllables are adopted as the basic synthesis units. A set of synthesis units is selected from a large continuous speech database based on two cost functions which minimize the inter- and intra-syllable distortion. The speech database is also employed to establish a word-prosody-based template tree acc

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Chuang, Hsin-Chung, and 莊欣中. "A Study on the Generation and Adjustment of Prosodic Information for CELP-based Text-to-Speech Conversion." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/83645301219524983534.

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碩士<br>國立成功大學<br>資訊及電子工程研究所<br>83<br>In this thesis, a CELP-based text-to-speech conversion system is presented. We take 1410 Mandarin Chinese monosyllables as the basic synthetic units in this system. The Code Excited Linear Prediction (CELP) algorithm is applied to our speech synthesizer for high compression rate and good speech quality. In order to improve the naturalness of the synthetic speech, a method for prosodic modification is proposed to replace the traditional rule-based approach

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Vaudry, Pierre-Luc. "Narrative generation by associative network extraction from real-life temporal data." Thèse, 2016. http://hdl.handle.net/1866/18473.

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Les données portant sur des événements abondent dans notre société technologique. Une façon intéressante de présenter des données temporelles réelles pour faciliter leur interprétation est un récit généré automatiquement. La compréhension de récits implique la construction d'un réseau causal par le lecteur. Les systèmes de data-to-text narratifs semblent reconnaître l'importance des relations causales. Cependant, celles-ci jouent un rôle secondaire dans leurs planificateurs de document et leur identification repose principalement sur des connaissances du domaine. Cette thèse propose un modè

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Chiang, Yi-Heng, and 蔣宜衡. "Using the Sequence to Sequence Generative Model for Bidirectional Text Rewriting." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/trmcm5.

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碩士<br>淡江大學<br>資訊管理學系碩士班<br>106<br>Although the ability to understand and master a language varies from person to person, it is also affected by the evolution of the language itself. In particular, Classical Chinese as a written language of the past has obvious differences from Vernacular Chinese used in modern society. As a consequence, many Chinese today find it hard to understand Classical Chinese texts. In order to bridge the gap in understanding the two writing styles of Classical Chinese and Vernacular Chinese, this work chooses the bidirectional text rewriting of Classical and Vernacular

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黃紹華. "= A study on prosodic information generator for mandarin text-to-speech." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/35968470745791703048.

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Shih, Shan-Shu, and 施善舒. "Processing for Generating Continuous Speech from Syllables in a Mandarin Text-to-Speech System." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/k288um.

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碩士<br>國立中興大學<br>資訊科學與工程學系所<br>102<br>This thesis is to investigate how to generate a continuous speech from syllables in a Mandarin text-to-speech (TTS) system. We want to find more appropriate pitches from syllables to synthesis, and expect to get smooth synthesis speech. We use short-time speech processing methods to divide speech into frames and extract some feature of speech. We then use this feature to search the closest pitch. We use the following 4 method to get the pitches for synthesis: searching with individual pitch, near distance ascending, three-point average, and dynamic time war

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Wu, Chun-I., and 吳俊毅. "The Research of Generating Prosodic Information in an On-Line Hakka Text-to-Speech System." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/36092349194684806538.

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碩士<br>國立中興大學<br>資訊科學與工程學系所<br>98<br>This paper aims at the implementation of a Hakka Text-to-speech (TTS) system on Internet. Our system is composed of the following four components: Text analysis, Mandarin to Hakka word translation, Prosody prediction, and Speech generation module. More than 2400 monosyllabic speech units and 2234 word speech units of Hakka and several silences with various durations have been recorded as basic units for speech synthesis. We add breaks to Hakka sentences to make speech sound more natural. We focus on adding breaks to sentences, with emphasis on deciding the t

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wei, Yu-te, and 魏宇德. "Application of Text Mining to Automatic Lesson-Learned File Generator for a Knowledge Management System." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/88076602827136882963.

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碩士<br>中華大學<br>營建管理研究所<br>97<br>Lessons-learned file (LLF) is commonly adopted to retain previous knowledge and experiences for future use in many construction organizations. Current practice in capturing LLF is mainly through the costly and time-consuming manual processes conducted by the construction engineers or managers. Moreover, many construction knowledge accumulated from previous projects is berried in the construction documents such as construction journals, proposals, as-built drawings, SPECs, plans, etc. It is impossible to develop LLFs from these documents manually. Text mining (TM)

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