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Relevant bibliographies by topics / Language identification / Dissertations / Theses

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Dissertations / Theses on the topic 'Language identification'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Botha, Gerrti Reinier. "Text-based language identification for the South African languages." Pretoria : [s.n.], 2007. http://upetd.up.ac.za/thesis/available/etd-090942008-133715/.

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2

Yin, Bo Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Language identification with language and feature dependency." Awarded By:University of New South Wales. Electrical Engineering & Telecommunications, 2009. http://handle.unsw.edu.au/1959.4/44045.

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The purpose of Language Identification (LID) is to identify a specific language from a spoken utterance, automatically. Language-specific characteristics are always associated with different languages. Most existing LID approaches utilise a statistical modelling process with common acoustic/phonotactic features to model specific languages while avoiding any language-specific knowledge. Great successes have been achieved in this area over past decades. However, there is still a huge gap between these languageindependent methods and the actual language-specific patterns. It is extremely useful t

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3

Newman, Jacob Laurence. "Language identification using visual features." Thesis, University of East Anglia, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.539371.

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4

Berkling, Kay Margarethe. "Automatic language identification with sequences of language-independent phoneme clusters /." Full text open access at:, 1996. http://content.ohsu.edu/u?/etd,204.

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Conti, Matteo. "Machine Learning Based Programming Language Identification." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20875/.

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L'avvento dell'era digitale ha contribuito allo sviluppo di nuovi settori tecnologici, i quali, per diretta conseguenza, hanno portato alla richiesta di nuove figure professionali capaci di assumere un ruolo chiave nel processo d'innovazione tecnologica. L'aumento di questa richiesta ha interessato particolarmente il settore dello sviluppo del software, a seguito della nascita di nuovi linguaggi di programmazione e nuovi campi a cui applicarli. La componente principale di cui è composto un software, infatti, è il codice sorgente, il quale può essere rappresentato come un archivio di uno o più

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6

Munday, Emma Rachel. "Language and identification in contemporary Kazakhstan." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/6200.

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In the years since the dissolution of the Soviet Union Central Asia has experienced wide-reaching and ongoing social change. The structures and values of all social strata have been questioned and re-evaluated in a continuing exploration of what it means to be part of the post-Soviet space. Within this space, identity formation and reformation has been a pre-eminent process for individuals, for groups of all kinds and for the newly emerging states and their leaders. Through the analysis of individual interviews and selected newspaper extracts and government policy documents this study explores

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Nkadimeng, Calvin. "Language identification using Gaussian mixture models." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/4170.

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Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2010.<br>ENGLISH ABSTRACT: The importance of Language Identification for African languages is seeing a dramatic increase due to the development of telecommunication infrastructure and, as a result, an increase in volumes of data and speech traffic in public networks. By automatically processing the raw speech data the vital assistance given to people in distress can be speeded up, by referring their calls to a person knowledgeable in that language. To this effect a speech corpus was developed and various

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8

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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9

Foran, Jeffrey (Jeffrey Matthew) 1977. "Missing argument referent identification in natural language." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80532.

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Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.<br>Includes bibliographical references (p. 54-55).<br>by Jeffrey Foran.<br>S.B.and M.Eng.

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Gambardella, Maria-Elena. "Cleartext detection and language identification in ciphers." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-446439.

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In historical cryptology, cleartext represents text written in a known language ina cipher (a hand-written manuscript aiming at hiding the content of a message).Cleartext can give us an historical interpretation and contextualisation of themanuscript and could help researchers in cryptanalysis, but to these days thereis still no research on how to automatically detect cleartext and identifying itslanguage. In this paper, we investigate to what extent we can automaticallydistinguish cleartext from ciphertext in transcribed historical ciphers and towhat extent we are able to identify its languag

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Williams, A. Lynn, and Carol Stoel-Gammon. "Identification of Speech-language Disorders in Toddlers." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etsu-works/2038.

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This session is developed by, and presenters invited by, Speech Sound Disorders in Children and Language in Infants Toddlers and Preschoolers. This invited session provides an overview of early speech/language development with a focus on identifying delay/disorders in toddlers. Types of speech/language behaviors in prelinguistic/ early linguistic development that serve as “red flags” for possible disorders will be discussed. The need for developmentally appropriate assessments will be highlighted.

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12

Yang, Xi. "Discriminative acoustic and sequence models for GMM based automatic language identification /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?ECED%202007%20YANG.

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Vindfallet, Vegar Enersen. "Language Identification Based on Detection of Phonetic Characteristics." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for elektronikk og telekommunikasjon, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19506.

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This thesis has taken a closer look at the implementation of the back-end of a language recognition system. The front-end of the system is a Universal Attribute Recognizer (UAR), which is used to detect phonetic characteristics in an utterance. When a speech signal is sent through the UAR, it is decoded into a sequence of attributes which is used to generate a vector of term-count. Vector Space Modeling (VSM) have been used for training the language classifiers in the back-end. The main principle of VSM is that term-count vectors from the same language will position themselves close to eachoth

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del, Castillo Iglesias Daniel. "End-to-end Learning for Singing-Language Identification." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277837.

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Singing-language identification (SLID) consists in identifying the language of the sung lyrics directly from a given music recording. This task is of spe- cial interest to music-streaming businesses who benefit from music localiza- tion applications. However, language is a complex semantic quality of music recordings, making the finding and exploiting of its characteristic features ex- tremely challenging. In recent years, most Music Information Retrieval (MIR) research efforts have been directed to problems that are not related to language, and most of the progress in speech recognition metho

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Hubeika, Valiantsina. "Intersession Variability Compensation in Language and Speaker Identification." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2008. http://www.nusl.cz/ntk/nusl-235432.

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Variabilita kanálu a hovoru je velmi důležitým problémem v úloze rozpoznávání mluvčího. V současné době je ve velkém množství vědeckých článků uvedeno několik technik pro kompenzaci vlivu kanálu. Kompenzace vlivu kanálu může být implementována jak v doméně modelu, tak i v doménách příznaků i skóre. Relativně nová výkoná technika je takzvaná eigenchannel adaptace pro GMM (Gaussian Mixture Models). Mevýhodou této metody je nemožnost její aplikace na jiné klasifikátory, jako napřílad takzvané SVM (Support Vector Machines), GMM s různým počtem Gausových komponent nebo v rozpoznávání řeči s použití

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Nariyama, Shigeko. "Referent identification for ellipted arguments in Japanese." Connent to thesis, 2000. http://repository.unimelb.edu.au/10187/2870.

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Nominal arguments, such as the subject and the object are not grammatically required to be overt in Japanese, and are frequently unexpressed, approximately 50% of the time in written narrative texts. Despite this in high frequency of ellipsis, Japanese is not equipped with such familiar devices as the cross-referencing systems and verbal inflections commonly found in pro-drop languages for referent identification. Yet the mechanisms governing argument ellipsis have been little explicated. This thesis elucidates the linguistic mechanisms with which to identify the referents of ellipted argument

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17

Samperio, Sanchez Nahum. "General learning strategies : identification, transfer to language learning and effect on language achievement." Thesis, University of Southampton, 2016. https://eprints.soton.ac.uk/412008/.

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Each learner has a set repertoire of general learning strategies that he or she uses despite the learning context. The purpose of this study is to identify the general learning strategies that beginner learners of English have in their repertoire, the transfer of such strategies to language learning and the predictive value they have in language achievement. It is also intended to discover the effect that the teaching of not frequently used general learning strategies have on learners’ language achievement. Additionally, to identify possible differences in strategy types and frequency of strat

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Knudson, Ryan Charles. "Automatic Language Identification for Metadata Records: Measuring the Effectiveness of Various Approaches." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc801895/.

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Automatic language identification has been applied to short texts such as queries in information retrieval, but it has not yet been applied to metadata records. Applying this technology to metadata records, particularly their title elements, would enable creators of metadata records to obtain a value for the language element, which is often left blank due to a lack of linguistic expertise. It would also enable the addition of the language value to existing metadata records that currently lack a language value. Titles lend themselves to the problem of language identification mainly due to their

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Rupe, Jonathan C. "Vision-based hand shape identification for sign language recognition /." Link to online version, 2005. https://ritdml.rit.edu/dspace/handle/1850/940.

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Strømhaug, Tommy. "Discriminating Music,Speech and other Sounds and Language Identification." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8953.

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<p>The tasks : discriminating music, speech and other sounds and language identification have a broad range of applications in todays multilingual multimedia community. Both tasks gave a lot of possibilities regarding methods and development tools which also brings some risk. The Language Identification(LID) problem ended up with two different approaches. One approach was discarded due to poor results in the pre-study while the other approach had some promising potential but did not deliver as hoped in the first place. On the other hand, the music, speech discrimination was solved with great a

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Peyton, Kari C. "Literacy programs identification and assessment of English language learners /." Menomonie, WI : University of Wisconsin--Stout, 2007. http://www.uwstout.edu/lib/thesis/2007/.

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22

Clark, Jessica Celeste. "Automated Identification of Adverbial Clauses in Child Language Samples." Diss., CLICK HERE for online access, 2009. http://contentdm.lib.byu.edu/ETD/image/etd2803.pdf.

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Brown, Brittany Cheree. "Automated Identification of Adverbial Clauses in Child Language Samples." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3404.

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Adverbial clauses are grammatical constructions that are of relevance in both typical language development and impaired language development. In recent years, computer software has been used to assist in the automated analysis of clinical language samples. This software has attempted to accurately identify adverbial clauses with limited success. The present study investigated the accuracy of software for the automated identification of adverbial clauses. Two separate collections of language samples were used. One collection included 10 children with language impairment, with ages ranging from

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Michaelis, Hali Anne. "Automated Identification of Relative Clauses in Child Language Samples." BYU ScholarsArchive, 2009. https://scholarsarchive.byu.edu/etd/1997.

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Previously existing computer analysis programs have been unable to correctly identify many complex syntactic structures thus requiring further manual analysis by the clinician. Complex structures, including the relative clause, are of interest in child language samples due to the difference in development between children with and without language impairment. The purpose of this study was to assess the comparability of results from a new automated program, Cx, to results from manual identification of relative clauses. On language samples from 10 children with language impairment (LI), 10 langu

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Manning, Britney Richey. "Automated Identification of Noun Clauses in Clinical Language Samples." BYU ScholarsArchive, 2009. https://scholarsarchive.byu.edu/etd/2197.

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The identification of complex grammatical structures including noun clauses is of clinical importance because differences in the use of these structures have been found between individuals with and without language impairment. In recent years, computer software has been used to assist in analyzing clinical language samples. However, this software has been unable to accurately identify complex syntactic structures such as noun clauses. The present study investigated the accuracy of new software, called Cx, in identifying finite wh- and that-noun clauses. Two sets of language samples were used.

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Ehlert, Erika E. "Automated Identification of Relative Clauses in Child Language Samples." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3615.

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Relative clauses are grammatical constructions that are of relevance in both typical and impaired language development. Thus, the accurate identification of these structures in child language samples is clinically important. In recent years, computer software has been used to assist in the automated analysis of clinical language samples. However, this software has had only limited success when attempting to identify relative clauses. The present study explores the development and clinical importance of relative clauses and investigates the accuracy of the software used for automated identifica

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Lareau, Jonathan. "Application of shifted delta cepstral features for GMM language identification /." Electronic version of thesis, 2006. https://ritdml.rit.edu/dspace/handle/1850/2686.

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Ford, George Harold. "Spoken Language Identification from Processing and Pattern Analysis of Spectrograms." NSUWorks, 2014. http://nsuworks.nova.edu/gscis_etd/152.

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Prior speech and linguistics research has focused on the use of phonemes recognition in speech, and their use in formulation of recognizable words, to determine language identification. Some languages have additional phoneme sounds, which can help identify a language; however, most of the phonemes are common to a wide variety of languages. Legacy approaches recognize strings of phonemes as syllables, used by dictionary queries to see if a word can be found to uniquely identify a language. This dissertation research considers an alternative means of determining language identification of speech

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Rock, Jonna. "Intergenerational Memory, Language and Jewish Identification of the Sarajevo Sephardim." Doctoral thesis, Humboldt-Universität zu Berlin, 2019. http://dx.doi.org/10.18452/19793.

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Diese Doktorarbeit befasst sich mit Fragen der Sprache und Identität von drei Generationen sephardischer Juden in Sarajevo. Aufgrund der Komplexität sephardischen Geschichte in Sarajevo untersuche ich Bosnien-Herzegowina/Jugoslawien, Israel und Spanien als mögliche Identitätsoptionen für die Sephardim in Sarajevo nach der Shoah. In einem weiteren Kontext ist die Arbeit auch ein Beitrag zu Minderheiten in Europa und zum facettenreichen Zusammenspiel von Sprache und ethnischer und religiöser Identifikation. Typisch für die jüdische Gemeinschaft im heutigen Sarajevo ist, dass nur ein Gesprächsp

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Wong, Kim-Yung Eddie. "Automatic spoken language identification utilizing acoustic and phonetic speech information." Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/37259/1/Kim-Yung_Wong_Thesis.pdf.

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Automatic spoken Language Identi¯cation (LID) is the process of identifying the language spoken within an utterance. The challenge that this task presents is that no prior information is available indicating the content of the utterance or the identity of the speaker. The trend of globalization and the pervasive popularity of the Internet will amplify the need for the capabilities spoken language identi¯ca- tion systems provide. A prominent application arises in call centers dealing with speakers speaking di®erent languages. Another important application is to index or search huge speech data

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Zeberlein, Jennifer Catherine. "Examination of the Accuracy of the Social Language Development Test for Identification of Social Language Impairments." Miami University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=miami1398975745.

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Johnson, Marie A. F., and A. Rice. "Early Childhood Language Delay: Identification of Children At-risk, Characteristics, and Strategies for Building Language Skills." Digital Commons @ East Tennessee State University, 2010. https://dc.etsu.edu/etsu-works/1550.

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Johnson, Marie A. F., and A. Rice. "Early Childhood Language Delay: Identification of Children At-risk, Characteristics, and Strategies for Building Language Skills." Digital Commons @ East Tennessee State University, 2011. https://dc.etsu.edu/etsu-works/1549.

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Smolenska, Greta. "Complex Word Identification for Swedish." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-352349.

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Complex Word Identification (CWI) is a task of identifying complex words in text data and it is often viewed as a subtask of Automatic Text Simplification (ATS) where the main task is making a complex text simpler. The ways in which a text should be simplified depend on the target readers such as second language learners or people with reading disabilities. In this thesis, we focus on Complex Word Identification for Swedish. First, in addition to exploring existing resources, we collect a new dataset for Swedish CWI. We continue by building several classifiers of Swedish simple and complex wor

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Dwyer, Edward J. "Word Identification Strategies." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etsu-works/3417.

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Dwyer, Edward J. "Word Identification Strategies." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etsu-works/3419.

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Chou, Christine S. (Christine Susan). "Language identification through parallel phone recognition dc by Christine S. Chou." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/34056.

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Xiang, Yang. "Grammatical Error Identification for Learners of Chinese as a Foreign Language." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-361927.

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This thesis aims to build a system to tackle the task of diagnosing the grammatical errors in sentences written by learners of Chinese as a foreign language with the help of the CRF model (Conditional Random Field). The goal of this task is threefold: 1) identify if the sentence is correct or not, 2) identify the specific error types in the sentence, 3) find out the location of the identified errors. In this thesis, the task of Chinese grammatical error diagnosis is approached as a sequence tagging problem. The data and evaluation tool come from the previous shared tasks on Chinese Grammatica

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Gerl, Armin. "Modelling of a privacy language and efficient policy-based de-identification." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI105.

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De nos jours, les informations personnelles des utilisateurs intéressent énormément les annonceurs et les industriels qui les utilisent pour mieux cibler leurs clients et pour amééliorer leurs offres. Ces informations, souvent trés sensibles, nécessitent d’être protégées pour réguler leur utilisation. Le RGPD est la législation européenne, récemment entrée en vigueur en Mai 2018 et qui vise à renforcer les droits de l’utilisateur quant au traitement de ses données personnelles. Parmi les concepts phares du RGPD, la définition des règles régissant la protection de la vie privée par défaut (priv

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Asadullah, Munshi. "Identification of Function Points in Software Specifications Using Natural Language Processing." Thesis, Paris 11, 2015. http://www.theses.fr/2015PA112228/document.

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La nécessité d'estimer la taille d’un logiciel pour pouvoir en estimer le coût et l’effort nécessaire à son développement est une conséquence de l'utilisation croissante des logiciels dans presque toutes les activités humaines. De plus, la nature compétitive de l’industrie du développement logiciel rend courante l’utilisation d’estimations précises de leur taille, au plus tôt dans le processus de développement. Traditionnellement, l’estimation de la taille des logiciels était accomplie a posteriori à partir de diverses mesures appliquées au code source. Cependant, avec la prise de conscience,

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Eyecioglu, Ozmutlu Asli. "Paraphrase identification using knowledge-lean techniques." Thesis, University of Sussex, 2016. http://sro.sussex.ac.uk/id/eprint/65497/.

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This research addresses the problem of identification of sentential paraphrases; that is, the ability of an estimator to predict well whether two sentential text fragments are paraphrases. The paraphrase identification task has practical importance in the Natural Language Processing (NLP) community because of the need to deal with the pervasive problem of linguistic variation. Accurate methods for identifying paraphrases should help to improve the performance of NLP systems that require language understanding. This includes key applications such as machine translation, information retrieval an

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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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Dwyer, Edward J. "Encouraging Word Identification Skills." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etsu-works/3401.

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Alharthi, Haifa. "Natural Language Processing for Book Recommender Systems." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39134.

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The act of reading has benefits for individuals and societies, yet studies show that reading declines, especially among the young. Recommender systems (RSs) can help stop such decline. There is a lot of research regarding literary books using natural language processing (NLP) methods, but the analysis of textual book content to improve recommendations is relatively rare. We propose content-based recommender systems that extract elements learned from book texts to predict readers’ future interests. One factor that influences reading preferences is writing style; we propose a system that recomme

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Vdovichenko, Susan E. C. "The Beholder’s Eye: How Self-Identification and Linguistic Ideology Affect Shifting Language Attitudes and Language Maintenance in Ukraine." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1305582855.

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Sin, Wan-san Dorene. "The identification and characterization of Cantonese-speaking children with specific language impairment." Click to view the E-thesis via HKUTO, 2000. http://sunzi.lib.hku.hk/hkuto/record/B3620769X.

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Thesis (B.Sc)--University of Hong Kong, 2000.<br>"A dissertation submitted in partial fulfilment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, May 10, 2000." Also available in print.

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Combrinck, Hendrik Petrus. "A cost, complexity and performance comparison of two automatic language identification architectures." Pretoria : [s.n.], 2006. http://upetd.up.ac.za/thesis/available/etd-12212006-141335/.

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Esquierdo, Jennifer Joy. "Early identification of Hispanic English language learners for gifted and talented programs." Diss., Texas A&M University, 2003. http://hdl.handle.net/1969.1/3944.

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The exponential growth of the Hispanic student population and the controversial educational issue surrounding the assessment of English language learners are the two fundamental topics of this study. Due to the uncertainty and ambiguity surrounding the assessment of the escalating Hispanic student population, the underrepresentation of Hispanics in gifted and talented (GT) programs has developed into a critical educational concern (Bernal, 2002; Irby & Lara-Alecio, 1996; Ortiz & Gonzalez, 1998). The research questions that guided this study focused on finding validated assessments for early id

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Segers, Vaughn Mackman. "The efficacy of the Eigenvector approach to South African sign language identification." Thesis, University of the Western Cape, 2010. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_2697_1298280657.

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<p>The communication barriers between deaf and hearing society mean that interaction between these communities is kept to a minimum. The South African Sign Language research group, Integration of Signed and Verbal Communication: South African Sign Language Recognition and Animation (SASL), at the University of the Western Cape aims to create technologies to bridge the communication gap. In this thesis we address the subject of whole hand gesture recognition. We demonstrate a method to identify South African Sign Language classifiers using an eigenvector ap- proach. The classifiers researched w

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Van, Der Merwe Ruan Henry. "Triplet entropy loss: improving the generalisation of short speech language identification systems." Master's thesis, Faculty of Science, 2021. http://hdl.handle.net/11427/33953.

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Spoken language identification systems form an integral part in many speech recognition tools today. Over the years many techniques have been used to identify the language spoken, given just the audio input, but in recent years the trend has been to use end to end deep learning systems. Most of these techniques involve converting the audio signal into a spectrogram which can be fed into a Convolutional Neural Network which can then predict the spoken language. This technique performs very well when the data being fed to model originates from the same domain as the training examples, but as soo

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