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Tesis sobre el tema "Bigrama"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 1 de febrero de 2022

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1

Grigaitytė, Justina. "BNS informacinių žinučių analizė teminiu aspektu." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2010. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20100617_111801-05840.

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Darbe nagrinėjamas temų identifikavimo uždavinys, kuris siejamas su teksto klasifikavimu į tam tikras kategorijas, t.y. įvairių tekstinių duomenų grupavimas pagal atitinkamas temas. Žinutės naujienų agentūrose yra skirstomos į atskiras grupes ir pogrupius pagal temas. Šis darbas atliekamas rankomis, t.y. perskaitomas tekstas ir priskiriamas kokiai nors temai. Vis dėlto, vystantis žiniasklaidai ir kuriantis įvairiems naujienų portalams, aktualu naujienas skirstyti ne rankiniu, o automatiniu būdu, todėl galimybė automatizuoti šį procesą galėtų būti naudinga įvairiems naujienų portalams, padedant

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2

Palinski, Amy M. "Investigating the Role of Open Bigrams in Visual Word Perception." Cleveland State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=csu1464265892.

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3

Teline, Maria Fernanda. ""Avaliação de métodos para a extração automática de terminologia de textos em português"." Universidade de São Paulo, 2004. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-25052004-012204/.

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Nas últimas décadas, o grande avanço da ciência e tecnologia com suas invenções, novos materiais, equipamentos e métodos gerou a necessidade da criação de novos nomes, chamados aqui de termos, e alterações nos seus significados, para nomear adequadamente esses avanços, principalmente em áreas dinâmicas como a Ciência da Computação, a Genética e a Medicina. Dado que o desenvolvimento de repertórios terminológicos é um trabalho difícil quando realizado manualmente, lingüistas computacionais, lingüistas aplicados, tradutores, intérpretes, jornalistas científicos têm se interessado pela extração a

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4

Teng, Yan. "Objective speech intelligibility assessment using speech recognition and bigram statistics with application to low bit-rate codec evaluation." Laramie, Wyo. : University of Wyoming, 2007. http://proquest.umi.com/pqdweb?did=1456283581&sid=5&Fmt=2&clientId=18949&RQT=309&VName=PQD.

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5

Comez, Murat Ali. "Large Vocabulary Continuous Speech Recogniton For Turkish Using Htk." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1205491/index.pdf.

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This study aims to build a new language model that can be used in a Turkish large vocabulary continuous speech recognition system. Turkish is a very productive language in terms of word forms because of its agglutinative nature. For such languages like Turkish, the vocabulary size is far from being acceptable. From only one simple stem, thousands of new word forms can be generated using inflectional or derivational suffixes. In this thesis, words are parsed into their stems and endings. One ending includes the suffixes attached to the associated root. Then the search network based on bigrams i

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6

Al-Muhtaseb, Husni Abdulghani. "Arabic text recognition of printed manuscripts : efficient recognition of off-line printed Arabic text using Hidden Markov Models, Bigram Statistical Language Model, and post-processing." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4426.

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Arabic text recognition was not researched as thoroughly as other natural languages. The need for automatic Arabic text recognition is clear. In addition to the traditional applications like postal address reading, check verification in banks, and office automation, there is a large interest in searching scanned documents that are available on the internet and for searching handwritten manuscripts. Other possible applications are building digital libraries, recognizing text on digitized maps, recognizing vehicle license plates, using it as first phase in text readers for visually impaired peop

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7

Al-Muhtaseb, Husni A. "Arabic text recognition of printed manuscripts. Efficient recognition of off-line printed Arabic text using Hidden Markov Models, Bigram Statistical Language Model, and post-processing." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4426.

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Arabic text recognition was not researched as thoroughly as other natural languages. The need for automatic Arabic text recognition is clear. In addition to the traditional applications like postal address reading, check verification in banks, and office automation, there is a large interest in searching scanned documents that are available on the internet and for searching handwritten manuscripts. Other possible applications are building digital libraries, recognizing text on digitized maps, recognizing vehicle license plates, using it as first phase in text readers for visually impaired peop

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8

Sahin, Serkan. "Language Modeling For Turkish Continuous Speech Recognition." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/2/1223254/index.pdf.

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This study aims to build a new language model for Turkish continuous speech recognition. Turkish is very productive language in terms of word forms because of its agglutinative nature. For such languages like Turkish, the vocabulary size is far from being acceptable from only one simple stem, thousands of new words can be generated using inflectional and derivational suffixes. In this work, word are parsed into their stem and endings. First of all, we consider endings as words and we obtained bigram probabilities using stem and endings. Then, bigram probabilities are obtained using only the st

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9

Jančík, Zdeněk. "Modelování dynamiky prosodie pro rozpoznávání řečníka." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2008. http://www.nusl.cz/ntk/nusl-235929.

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Most current automatic speaker recognition system extract speaker-depend features by looking at short-term spectral information. This approach ignores long-term information. I explored approach that use the fundamental frequency and energy trajectories for each speaker. This approach models prosody dynamics on single fonemes or syllables. It is known from literature that prosodic systems do not work as well the acoustic one but it improve the system when fusing. I verified this assumption by fusing my results with state of the art acoustic system from BUT. Data from standard evaluation campaig

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10

Braga, Ígor Assis. "Aprendizado semissupervisionado multidescrição em classificação de textos." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-02062010-160019/.

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Algoritmos de aprendizado semissupervisionado aprendem a partir de uma combinação de dados rotulados e não rotulados. Assim, eles podem ser aplicados em domínios em que poucos exemplos rotulados e uma vasta quantidade de exemplos não rotulados estão disponíveis. Além disso, os algoritmos semissupervisionados podem atingir um desempenho superior aos algoritmos supervisionados treinados nos mesmos poucos exemplos rotulados. Uma poderosa abordagem ao aprendizado semissupervisionado, denominada aprendizado multidescrição, pode ser usada sempre que os exemplos de treinamento são descritos por dois

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11

Stefanova, Spassova Maria. "El potencial discriminatorio de las secuencias de categorías gramaticales en la atribución forense de autoría de textos en español." Doctoral thesis, Universitat Pompeu Fabra, 2009. http://hdl.handle.net/10803/7512.

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The main objective of this dissertation is to evaluate the discriminatory capacity of n-grams - i.e. combinations of sequences of parts of speech- as potential markers of authorship for the purposes of the forensic comparison of Spanish written texts. The focus is on two particular types of n-grams, namely bigrams and trigrams.<br/>The principle hypotheses of the present dissertation are, on the one hand, that n-grams have a high potential to discriminate between the written productions of different authors (inter author variation). On the other hand, it is also hypothesized that the frequency

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12

Packer, Thomas L. "Surface Realization Using a Featurized Syntactic Statistical Language Model." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1195.pdf.

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13

Lee, Chun-Ming, and 李俊民. "Vector Information Retrieval Technique with Word Bigram Relation Model." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/96919424018156173137.

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碩士<br>大同大學<br>資訊經營學系(所)<br>93<br>“Telephone Center” has become enterprises’ major service window and important information source for customer relationship management (CRM). Customer service operators are dealing with similar questions for most of time, and by agents could improve their service quality and efficiency. if automatic agents could apply to replace part of their complicate works, they could deal with more specialized problems and reduce manpower to improve process efficiency. Therefore, for agents’ capability to undertake information, this thesis researches the improvement of gener

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14

Ho-ChuanHoh and 何浩川. "DGA Botnet Detection Using Bigram Analysis of Domain Names." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/7pqmte.

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15

Yang, Yu-Ching, and 楊育菁. "A Firest Study on Mandarin Word-class Bigram Language Model." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/67953155051135893818.

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碩士<br>國立交通大學<br>電信工程研究所<br>86<br>In this thesis, a word-class bigram of Chinese is discussed for speech-to-text conversion . An algorithm is first proposed to partition all words of a large lexicon containing 111246 word entries into several hundreds of word classes. It considers many linguists features of word inchuding part-of-speech, prefix, suffix, and length to make words with same characteristics being clustered together. Then a word-class bigram model is constructed using a text-corpus containing 9 million wors.Performance of the proposed word-class bigram model was examined by simula

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16

Chen, Wei-Hung, and 陳緯宏. "Book Records Retrieval Using Bigram Index Features and Performance Improvement Applying Particle Swarm Optimization Clustering." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/79321444399107238917.

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碩士<br>大同大學<br>資訊經營學系(所)<br>100<br>In recent years, the library automation system has become an important part of library inter-cooperation, and cross-regional, cross-county municipal joint bibliographic search function is an extremely important part. However, some bibliographic may be due to different habits of library cataloging inconsistent, or the different standards, or typing errors, etc., user can't directly use the bibliographic keyword to find the similar but not identical bibliographic. In this study, We the basis CMARC format based on the original bibliographic data of the National L

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