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Dissertations / Theses on the topic 'Computational linguistics'

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Published: 4 June 2021

Last updated: 25 July 2025

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1

vanCort, Tracy. "Computational Evolutionary Linguistics." Scholarship @ Claremont, 2001. https://scholarship.claremont.edu/hmc_theses/137.

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Languages and species both evolve by a process of repeated divergences, which can be described with the branching of a phylogenetic tree or phylogeny. Taking advantage of this fact, it is possible to study language change using computational tree building techniques developed for evolutionary biology. Mathematical approaches to the construction of phylogenies fall into two major categories: character based and distance based methods. Character based methods were used in prior work in the application of phylogenetic methods to the Indo-European family of languages by researchers at the Universi

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2

Wang, Pengyu. "Collapsed variational inference for computational linguistics." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:13c08f60-1441-4ea5-b52f-7ffd0d7a744f.

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Bayesian modelling is a natural fit for tasks in computational linguistics, since it can provide interpretable structures, useful prior controls, and coherent management of uncertainty. However, exact Bayesian inference is intractable for many models of practical interest. Developing both accurate and efficient approximate Bayesian inference algorithms remains a fundamental challenge, especially for the field of computational linguistics where datasets are large and growing and models consist of complex latent structures. Collapsed variational inference (CVI) is an important milestone that com

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3

Penton, Dave. "Linguistic data models : presentation and representation /." Connect to thesis, 2006. http://eprints.unimelb.edu.au/archive/00002875.

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4

Fujinami, Tsutomu. "A process algebraic approach to computational linguistics." Thesis, University of Edinburgh, 1996. http://hdl.handle.net/1842/521.

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The thesis presents a way to apply process algebra to computational linguistics. We are interested in how contexts can affect or contribute to language understanding and model the phenomena as a system of communicating processes to study the interaction between them in detail. For this purpose, we turn to the pie-calculus and investigate how communicating processes may be defined. While investigating the computational grounds of communication and concurrency,we devise a graphical representation for processes to capture the structure of interaction between them. Then, we develop a logic, combin

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5

Moilanen, Karo. "Compositional entity-level sentiment analysis." Thesis, University of Oxford, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.559817.

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This thesis presents a computational text analysis tool called AFFECTiS (Affect Interpretation/Inference System) which focuses on the task of interpreting natural language text based on its subjective, non-factual, affective properties that go beyond the 'traditional' factual, objective dimensions of meaning that have so far been the main focus of Natural Language Processing and Computational Linguistics. The thesis presents a fully compositional uniform wide-coverage computational model of sentiment in text that builds on a number of fundamental compositional sentiment phenomena and processes

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6

Holmqvist, Maria. "Word Alignment by Re-using Parallel Phrases." Licentiate thesis, Linköping University, Linköping University, NLPLAB - Natural Language Processing Laboratory, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15463.

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<p>In this thesis we present the idea of using parallel phrases for word alignment. Each parallel phrase is extracted from a set of manual word alignments and contains a number of source and target words and their corresponding alignments. If a parallel phrase matches a new sentence pair, its word alignments can be applied to the new sentence. There are several advantages of using phrases for word alignment. First, longer text segments include more context and will be more likely to produce correct word alignments than shorter segments or single words. More importantly, the use of longer phra

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7

Wahle, Johannes [Verfasser]. "Algorithmic advancements in Computational Historical Linguistics / Johannes Wahle." Tübingen : Universitätsbibliothek Tübingen, 2021. http://d-nb.info/1241537038/34.

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8

Chew, Peter. "A computational phonology of Russian." Thesis, University of Oxford, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324285.

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9

Senaldi, Marco Silvio Giuseppe. "Working both sides of the street: computational and psycholinguistic investigations on idiomatic variability." Doctoral thesis, Scuola Normale Superiore, 2019. http://hdl.handle.net/11384/86016.

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Over the years, the original conception of idioms as semantically empty and formally frozen units (Bobrow and Bell, 1973; Swinney and Cutler, 1979) has been replaced by a more complex view, whereby some idioms display an analyz able semantic structure (Nunberg, 1978) that allows for greater formal plasticity (Nunberg et al., 1994; Gibbs and Nayak, 1989). Corpus data have anyway shown that all types of idioms allow for a certain degree of manipulation if an appropriate context is provided (Duﬄey, 2013; Vietri, 2014). On the other hand, psycholin guistic data have revealed that the proces

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10

Kof, Leonid. "Text analysis for requirements engineering : application of computational linguistics /." Saarbrücken : VDM Verl. Dr. Müller, 2007. http://deposit.d-nb.de/cgi-bin/dokserv?id=3021639&prov=M&dok_var=1&dok_ext=htm.

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11

Gao, Lili. "Applications of MachLearning and Computational Linguistics in Financial Economics." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/815.

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In the world of the financial economics, we have abundant text data. Articles in the Wall Street Journal and on Bloomberg Terminals, corporate SEC filings, earnings-call transcripts, social media messages, etc. all contain ample information about financial markets and investor behaviors. Extracting meaningful signals from unstructured and high dimensional text data is not an easy task. However, with the development of machine learning and computational linguistic techniques, processing and statistically analyzing textual documents tasks can be accomplished, and many applications of statistical

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12

Jin, Lifeng. "Computational Modeling of Syntax Acquisition with Cognitive Constraints." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1594934826359118.

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13

Matthews, Clive Andrew. "French gender attribution as a computational system." Thesis, University of East Anglia, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301870.

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14

Heiberg, Andrea Jeanine. "Features in optimality theory: A computational model." Diss., The University of Arizona, 1999. http://hdl.handle.net/10150/288983.

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This dissertation presents a computational model of Optimality Theory (OT) (Prince and Smolensky 1993). The model provides an efficient solution to the problem of candidate generation and evaluation, and is demonstrated for the realm of phonological features. Explicit object-oriented implementations are proposed for autosegmental representations (Goldsmith 1976 and many others) and violable OT constraints and Gen operations on autosegmental representations. Previous computational models of OT (Ellison 1995, Tesar 1995, Eisner 1997, Hammond 1997, Karttunen 1998) have not dealt in depth with aut

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15

Evans, Owain Rhys. "Bayesian computational models for inferring preferences." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/101522.

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Thesis: Ph. D. in Linguistics, Massachusetts Institute of Technology, Department of Linguistics and Philosophy, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 130-131).<br>This thesis is about learning the preferences of humans from observations of their choices. It builds on work in economics and decision theory (e.g. utility theory, revealed preference, utilities over bundles), Machine Learning (inverse reinforcement learning), and cognitive science (theory of mind and inverse planning). Chapter 1 lays the conceptual groundwork for the thesis and

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16

Chan, Ching Lap. "Semantic annotation in knowledge engineering, e-learning and computational linguistics." Thesis, City University London, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.576943.

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In this work, a comprehensive study of semantic annotation has been carried out in early stage. The study focuses on the annotation requirements of human knowledge acquisition in knowledge engineering, e-Iearning and computational linguistics. Based on findings from the study, annotation of natural languages for linguistic analysis creates complicated data structures. Due to the complexity, almost all existing annotation schemes are designed to support only one application domain at one instance. Discovery of new knowledge by means of cross-domains text analysis is limited by the capability of

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17

Godby, Carol Jean. "A Computational Study of Lexicalized Noun Phrases in English." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1017343683.

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18

Cheng, Chi Wa. "Probabilistic topic modeling and classification probabilistic PCA for text corpora." HKBU Institutional Repository, 2011. http://repository.hkbu.edu.hk/etd_ra/1263.

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19

Phillips, Aaron B. "Modeling Relevance in Statistical Machine Translation: Scoring Alignment, Context, and Annotations of Translation Instances." Research Showcase @ CMU, 2012. http://repository.cmu.edu/dissertations/134.

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Machine translation has advanced considerably in recent years, primarily due to the availability of larger datasets. However, one cannot rely on the availability of copious, high-quality bilingual training data. In this work, we improve upon the state-of-the-art in machine translation with an instance-based model that scores each instance of translation in the corpus. A translation instance reflects a source and target correspondence at one specific location in the corpus. The significance of this approach is that our model is able to capture that some instances of translation are more relevan

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20

Tang, Haijiang. "Building phrase based language model from large corpus /." View Abstract or Full-Text, 2002. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202002%20TANG.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2002.<br>Includes bibliographical references (leaves 74-79). Also available in electronic version. Access restricted to campus users.

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21

Wang, Long Qi. "Translation accuracy comparison between machine translation and context-free machine natural language grammar–based translation." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3950657.

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22

Jensen, Sean. "A computational approach to the phonology of connected speech." Thesis, SOAS, University of London, 2000. http://eprints.soas.ac.uk/12710/.

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This thesis attempts to answer the question "How do we store and retrieve linguistic information?", and to show how this is intimately related to the question of connected speech phonology. The main discussion begins in Chapter One with a non-linguistic introduction to the problem of looking things up, and considers in particular the hashtable and its properties. The theme is developed directly in the latter part of the chapter, and further in Chapter Two, where it is proposed not only that the hashtable is the mechanism actually used by the language faculty, but also that phonology is that me

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23

Williams, Sheila Margaret. "LexPhon : a computational implementation of aspects of lexical phonology." Thesis, University of Reading, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.357021.

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24

Van, Genabith Josef Albert. "Declarative reformulations of DRT and their computational interpretation." Thesis, University of Essex, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.332403.

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25

JESUS, BIANCA FREITAS DE. "SAY IN PORTUGUESE: A DIALOGUE BETWEEN TRANSLATION, DESCRIPTION AND COMPUTATIONAL LINGUISTICS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2016. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=27758@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO<br>Os profissionais que traduzem textos do inglês para o português deparam-se com uma exigência dos clientes quanto à tradução de diálogos: diversificar os verbos de elocução, com o intuito de evitar a repetição do verbo dizer. Em resposta, esta pesquisa visa à elaboração de um glossário dos verbos que introduzem discurso relatado, chamados de verbos de elocução. Para tanto, conduzimos um estudo descritivo com base em corp

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26

Belz, Anja. "Computational learning of finite-state models for natural language processing." Thesis, University of Sussex, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311331.

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27

Zhang, Lidan, and 张丽丹. "Exploiting linguistic knowledge for statistical natural language processing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46506299.

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28

Hardie, Andrew. "The computational analysis of morphosyntactic categories in Urdu." Thesis, Lancaster University, 2004. http://eprints.lancs.ac.uk/106/.

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Urdu is a language of the Indo-Aryan family, widely spoken in India and Pakistan, and an important minority language in Europe, North America, and elsewhere. This thesis describes the development of a computer-based system for part-of-speech tagging of Urdu texts, consisting of a tagset, a set of tagging guidelines for manual tagging or post-editing, and the tagger itself. The tagset is defined in accordance with a set of design principles, derived from a survey of good practice in the field of tagset design, including compliance with the EAGLES guidelines on morphosyntactic annotation. These

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29

Kotsifas, Dimitrios. "Intonation and sentence type interpretation in Greek : A production and perception approach." Thesis, University of Skövde, School of Humanities and Informatics, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-2960.

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<p>This thesis examines the intonation patterns of Modern Greek with regard to different interpretations of the sentence types (declarative, interrogative, imperative).</p><p>14 utterances are produced by Greek native speakers (2 men and 2 women) so as to express various speech acts: STATEMENT, QUESTION, COMMAND and REQUEST.</p><p>The acquisition of the F0 curve for each utterance by means of the Wavesurfer tool leads to an analysis of the pitch movements and their alignments.</p><p>After the F0 curves are analyzed and illustrated using the Excel program we are able to compare and group them.

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30

Filali, Karim. "Multi-dynamic Bayesian networks for machine translation and NLP /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/6857.

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31

Tonkes, Bradley. "On the origins of linguistic structure : computational models of the evolution of language /." St. Lucia, Qld, 2001. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16529.pdf.

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32

Bird, Steven. "Constraint-based phonology." Thesis, University of Edinburgh, 1991. http://hdl.handle.net/1842/23727.

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33

Macias, Benjamin. "An incremental parser for government-binding theory." Thesis, University of Cambridge, 1991. https://www.repository.cam.ac.uk/handle/1810/251511.

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34

Cahill, Lynne Julie. "Syllable-based morphology for natural language processing." Thesis, University of Sussex, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386529.

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This thesis addresses the problem of accounting for morphological alternation within Natural Language Processing. It proposes an approach to morphology which is based on phonological concepts, in particular the syllable, in contrast to morpheme-based approaches which have standardly been used by both NLP and linguistics. It is argued that morpheme-based approaches, within both linguistics and NLP, grew out of the apparently purely affixational morphology of European languages, and especially English, but are less appropriate for non-affixational languages such as Arabic. Indeed, it is claimed

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35

Keenan, Francis Gerard. "Large vocabulary syntactic analysis for text recognition." Thesis, Nottingham Trent University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334311.

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36

Ananiadou, Sofia. "Towards a methodology for automatic term recognition." Thesis, University of Manchester, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.277200.

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37

Copestake, Ann Alicia. "The representation of lexical semantic information." Thesis, University of Sussex, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359745.

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38

Smith, Mark H. "Natural language generation in the LOLITA system an engineering approach." Thesis, Durham University, 1995. http://etheses.dur.ac.uk/5457/.

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Natural Language Generation (NLG) is the automatic generation of Natural Language (NL) by computer in order to meet communicative goals. One aim of NL processing (NLP) is to allow more natural communication with a computer and, since communication is a two-way process, a NL system should be able to produce as well as interpret NL text. This research concerns the design and implementation of a NLG module for the LOLITA system. LOLITA (Large scale, Object-based, Linguistic Interactor, Translator and Analyser) is a general purpose base NLP system which performs core NLP tasks and upon which proto

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39

Gwei, G. M. "New models of natural language for consultative computing." Thesis, University of Nottingham, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.378986.

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40

Fischer, Markus. "Automatic generation of spatial configurations in user interfaces." Thesis, University of Brighton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263977.

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41

Clough, Paul D. "Measuring text reuse." Thesis, University of Sheffield, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275023.

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42

Osborne, Miles. "Learning unification-based natural language grammars." Thesis, University of York, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241010.

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43

Lyon, Caroline. "The representation of natural language to enable neural networks to detect syntactic features." Thesis, University of Hertfordshire, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387160.

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44

Downey, Daniel J. G. "Knowledge representation in natural language : the wordicle - a subconscious connection." Thesis, Cranfield University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.333137.

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45

Bridge, Derek G. "Computing presuppositions in an incremental natural language processing system." Thesis, University of Cambridge, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315811.

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46

Clark, Stephen. "Class-based statistical models for lexical knowledge acquisition." Thesis, University of Sussex, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341541.

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This thesis is about the automatic acquisition of a particular kind of lexical knowledge, namely the knowledge of which noun senses can fill the argument slots of predicates. The knowledge is represented using probabilities, which agrees with the intuition that there are no absolute constraints on the arguments of predicates, but that the constraints are satisfied to a certain degree; thus the problem of knowledge acquisition becomes the problem of probability estimation from corpus data. The problem with defining a probability model in terms of senses is that this involves a huge number of pa

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47

Luk, Robert Wing Pong. "Stochastic transduction for English grapheme-to-phoneme conversion." Thesis, University of Southampton, 1992. https://eprints.soton.ac.uk/250076/.

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48

Dale, Robert. "Generating referring expressions in a domain of objects and processes." Thesis, University of Edinburgh, 1989. http://hdl.handle.net/1842/32242.

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49

Berman, Lucy. "Lewisian Properties and Natural Language Processing: Computational Linguistics from a Philosophical Perspective." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/cmc_theses/2200.

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Nothing seems more obvious than that our words have meaning. When people speak to each other, they exchange information through the use of a particular set of words. The words they say to each other, moreover, are about something. Yet this relation of “aboutness,” known as “reference,” is not quite as simple as it appears. In this thesis I will present two opposing arguments about the nature of our words and how they relate to the things around us. First, I will present Hilary Putnam’s argument, in which he examines the indeterminacy of reference, forcing us to conclude that we must abandon me

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50

Sun, Shupeng. "The clarity of disclosure in patents: An economic analysis using computational linguistics." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/122181/1/Shupeng_Sun_Thesis.pdf.

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This thesis aims to explore and demonstrate the use of computational linguistic analysis to measure the "readability" of patent documents. By using readability as a proxy for the extent of disclosure in patent documents, this thesis studies whether patent applicants may strategically choose the disclosure level for their patents, and how the disclosure level would affect the patent acquisitions and patent examination. This thesis introduces a new method to the quantitative economic analysis of patents, and generates research results with important implications for patent policy and practice.

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