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[PDF] Top 20 A Joint Source Channel Model for Machine Transliteration

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A Joint Source Channel Model for Machine Transliteration

A Joint Source Channel Model for Machine Transliteration

... the source language, say E, into an intermediate phonemic representation P, and then convert the phonemic representation into the target language, say Chinese ...E2C transliteration, the phoneme-based ... See full document

8

Statistical Machine Transliteration with Multi to Multi Joint Source Channel Model

Statistical Machine Transliteration with Multi to Multi Joint Source Channel Model

... for transliteration. First, the distortion model, one of the major components in a stan- dard PBSMT system, is redundant for transliter- ...unnecessary model expands the search space and makes it ... See full document

5

Boosting English Chinese Machine Transliteration via High Quality Alignment and Multilingual Resources

Boosting English Chinese Machine Transliteration via High Quality Alignment and Multilingual Resources

... Machine transliteration is often modelled as a se- quence labelling problem in previous ...classical joint source-channel model (Li et ...Markov Model (HMM), which allows ... See full document

5

Joint Alignment and Artificial Data Generation: An Empirical Study of Pivot based Machine Transliteration

Joint Alignment and Artificial Data Generation: An Empirical Study of Pivot based Machine Transliteration

... for machine transliteration, which learns a source-pivot model from source-pivot data and a pivot-target model from pivot-target data, ...a source name to N-best pivot ... See full document

9

An Ensemble Model of Word based and Character based Models for Japanese and Chinese Input Method

An Ensemble Model of Word based and Character based Models for Japanese and Chinese Input Method

... as machine transliteration, letter-to-phoneme conversion, language modeling, or machine translation share similar problems and solutions with input ...noisy channel model (Mori et ... See full document

14

Jointly Optimizing a Two Step Conditional Random Field Model for Machine Transliteration and Its Fast Decoding Algorithm

Jointly Optimizing a Two Step Conditional Random Field Model for Machine Transliteration and Its Fast Decoding Algorithm

... a joint optimization method of a two-step conditional random field (CRF) model for machine transliter- ation and a fast decoding algorithm for the proposed ...CRF model, the first CRF segments ... See full document

6

A Modified Joint Source Channel Model for Transliteration

A Modified Joint Source Channel Model for Transliteration

... Most machine transliteration systems transliterate out of vocabulary (OOV) words through intermediate phonemic ...modified joint sourcechannel model along with a number of ... See full document

8

Transliteration Using a Phrase Based Statistical Machine Translation System to Re Score the Output of a Joint Multigram Model

Transliteration Using a Phrase Based Statistical Machine Translation System to Re Score the Output of a Joint Multigram Model

... the source language directly into to sequences of tokens in the ...statistical machine translation (SMT), and a joint multi- gram ...The joint multigram model was used to generate an ... See full document

5

LDGM Codes for Channel Coding and Joint Source-Channel Coding of Correlated Sources

LDGM Codes for Channel Coding and Joint Source-Channel Coding of Correlated Sources

... correlation model is not avail- able at the decoder, it is still possible to estimate it jointly with the decoding process (in many occasions with little per- formance ...of joint ... See full document

12

English to Chinese Machine Transliteration using Accessor Variety Features of Source Graphemes

English to Chinese Machine Transliteration using Accessor Variety Features of Source Graphemes

... the source side to 8, and sets the “maxY” parameter for the maximum size of sub- alignments in the target side to 1 (denoted as X8Y1 in short), since one of the well known a priori of Chinese is that almost all ... See full document

5

Sangam: A Perso Arabic to Indic Script Machine Transliteration Model

Sangam: A Perso Arabic to Indic Script Machine Transliteration Model

... Indic transliteration model developed by us is shown in Figure ...The source text is in S1 script while the target text is in script ...complete transliteration system is divided into three ... See full document

8

Soft and Joint Source Channel Decoding of Quasi Arithmetic Codes

Soft and Joint Source Channel Decoding of Quasi Arithmetic Codes

... sulting model. For the sake of clarity, we have considered simple source models in the ...higher-order source models. The state model of the coding and decod- ing process is of finite ... See full document

19

Joint Source-Channel Coding Optimized On End-to-End Distortion for Multimedia Source

Joint Source-Channel Coding Optimized On End-to-End Distortion for Multimedia Source

... variable-rate source encoder generates one-bit stream for each of the possible encoding ...our model, the variable rate encoder is used because of its better performance compared to an embedded ...DPCM ... See full document

107

Distributed joint source channel coding for relay systems exploiting source relay correlation and source memory

Distributed joint source channel coding for relay systems exploiting source relay correlation and source memory

... Markov source in a one-way single relay system, based on ...the source-relay correlation as well as the source memory structure simultaneously to achieve additional coding ...‘System model’ ... See full document

13

English-Korean Machine Transliteration by Combining Statistical Model and Web Search

English-Korean Machine Transliteration by Combining Statistical Model and Web Search

... hybrid machine translit- eration method, which combines statistical model and web search for transliterating names in various ...statistical machine translation ...non- source languages, the ... See full document

6

Joint Source, Channel Coding, and Secrecy

Joint Source, Channel Coding, and Secrecy

... of joint compression and security has also been ...probability model, as shown in [5]. The main problem of joint compression and security is to make sure that security does not decrease the ... See full document

7

Phrase based Machine Transliteration

Phrase based Machine Transliteration

... with machine translation in mind, and the input to our system is likely to consist of out-of-vocabulary ...Graehl’s model models the pronunciation of the source word sequences using a pronunciation ... See full document

6

Issues in Hindi to English and Marathi to English Machine Transliteration of Named Entities

Issues in Hindi to English and Marathi to English Machine Transliteration of Named Entities

... a source language to a target language is mostly considered to be a problem of generation of target language ...for transliteration can be broadly classified into two categories, viz grapheme-based and ... See full document

8

Machine Transliteration: Leveraging on Third Languages

Machine Transliteration: Leveraging on Third Languages

... statistical-based machine transliteration is the lack of the training data, ...the transliteration performance by generating more alternative pivot results as the inputs of the second ...the ... See full document

9

Analyzing Probability Vectors for Named Entity Statistical Machine Transliteration

Analyzing Probability Vectors for Named Entity Statistical Machine Transliteration

... Markov model is a statistical model in which the system being modeled is supposed to be a Markov process with unobserved ...Markov model is a finite-state automaton where transition between states is ... See full document

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