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example-based translation systems

Example Based Machine Translation: An Adaptation Guided Retrieval Approach

Example Based Machine Translation: An Adaptation Guided Retrieval Approach

... corpus based approach to MT fundamentally requires a parallel-aligned corpus, that is, a text together with its ...of translation, as for instance when parts of the source text do not make their way into ...

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Multi level Similar Segment Matching Algorithm for Translation Memories and Example Based Machine Translation

Multi level Similar Segment Matching Algorithm for Translation Memories and Example Based Machine Translation

... In Translation Memory (TM) or Example-Based Machine Translation (EBMT) systems, one of the decisive tasks is to retrieve from the database, the example that best approaches the ...

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DESIGN AND IMPLEMENTATION OF EXAMPLE BASED ENGLISH-HINDI MACHINE TRANSLATION SYSTEM

DESIGN AND IMPLEMENTATION OF EXAMPLE BASED ENGLISH-HINDI MACHINE TRANSLATION SYSTEM

... Information Systems; Accounting Theory & Practice; Auditing; Behavioral Accounting; Behavioral Economics; Corporate Finance; Cost Accounting; Econometrics; Economic Development; Economic History; Financial ...

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Example-Based Machine Translation Using a Dictionary of Word Pairs

Example-Based Machine Translation Using a Dictionary of Word Pairs

... not based on individual words but on pairs of ...machine translation is then seen as a combinatorial problem: For all word pairs in a source sentence all possible translations are retrieved from the lexicon ...

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Approximate Sentence Retrieval for Scalable and Efficient Example Based Machine Translation

Approximate Sentence Retrieval for Scalable and Efficient Example Based Machine Translation

... are based on the edit distance (ED), also known as Levenshtein distance (LD) (Levenshtein, ...the example base. EBMT systems can usually only handle a moderate size example base in the ...

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KyotoEBMT: An Example Based Dependency to Dependency Translation Framework

KyotoEBMT: An Example Based Dependency to Dependency Translation Framework

... similar systems, it does not rely on precompu- tation of translation ...of translation examples before extracting trans- lation rules ...combining translation rules, while re- taining the ...

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English to Kashmiri Translation System:Using Example Based Machine Translation Approach

English to Kashmiri Translation System:Using Example Based Machine Translation Approach

... Machine translation (MT) is automated translation. It is the process by which computer software is used to translate a text from one natural language (such as English) to another (such as Kashmiri). India ...

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Edinburgh’s Syntax Based Machine Translation Systems

Edinburgh’s Syntax Based Machine Translation Systems

... An example is the rule X → W yY Zz for which there are at most O(n 2 ) appli- cation contexts, given that the terminals will have a fixed position and will play the role of anchors in the sentence for the ...

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Urdu to English Machine Translation using Bilingual Evaluation Understudy

Urdu to English Machine Translation using Bilingual Evaluation Understudy

... machine translation between languages with significant word order differences ...the Example Based Machine Translation (EBMT) that translates input text by matching examples from large amount ...

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DFKI Hybrid Machine Translation System for WMT 2011   On the Integration of SMT and RBMT

DFKI Hybrid Machine Translation System for WMT 2011 On the Integration of SMT and RBMT

... Machine translation (MT), in particular the statisti- cal approach to it, has undergone incremental im- provements in recent ...chine translation (RBMT) maintains competitive- ness in human ...is ...

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Fluency enhancement : applications to machine translation : thesis for Master of Engineering in Information & Telecommunications Engineering, Massey University, Palmerston North, New Zealand

Fluency enhancement : applications to machine translation : thesis for Master of Engineering in Information & Telecommunications Engineering, Massey University, Palmerston North, New Zealand

... the translation result since I am incapable of doing any adequate post ...MT systems need to change; often their one glove fits all solution falls short for many ...MT systems tell the end user how ...

181

Task-based Example Miner for Intelligent Tutoring Systems

Task-based Example Miner for Intelligent Tutoring Systems

... all example solutions represented as syntax trees and the sequence in which lessons are ...each example using syntax trees (similar to ELM-ART and WebEx) and uses them to automatically derive the learning ...

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Offering a New Approach for Approximate Pattern Matching in Example-Based Machine Translation

Offering a New Approach for Approximate Pattern Matching in Example-Based Machine Translation

... To determine matched semantic load for different parts of the sentence, first the value shall be determined for verbs. This way the scores for other parts can be allocated correctly. To determine these scores, we ...

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N gram based Machine Translation

N gram based Machine Translation

... the translation system proposed here with other phrase-based translation systems is available through the results of the second shared task of the ACL 2005 workshop on “Building and using ...

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Sublexical Translations for Low Resource Language

Sublexical Translations for Low Resource Language

... WordNet provide related word for nouns, proper Antonymy (opposing-name) is also a symmetric semantic relation between word forms, especially important in organizing the meanings of adjectives and adverbs. For some OOV we ...

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An Efficient Execution Method for Rule Based Machine Translation

An Efficient Execution Method for Rule Based Machine Translation

... An Efficient Execution Method for Rule Based Machine Translation An Efficient Execution Method for Rule Based Machine Translation Hiroyuki KAJI Systems Development Laboratory~ Hitachi Ltdo 1099 Ohzenj[.] ...

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Application of Analogical Modelling to Example Based Machine Translation

Application of Analogical Modelling to Example Based Machine Translation

... # # 41#,QWURGXFWLRQ# ,GHDOO\/# DQ# (%07# V\VWHP# PXVW# GHWHUPLQH# FRUUHVSRQGHQFHV#DW#D#VXE0VHQWHQFH#OHYHO#LI#RSWLPDO# DGDSWDWLRQ#RI#PDWFKLQJ#IUDJPHQWV#LV#WR#EH#DFKLHYHG# +&ROOLQV/#%1/#)#&XQQLQJKDP/#31[.] ...

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MATREX: The DCU MT System for WMT 2010

MATREX: The DCU MT System for WMT 2010

... Koehn, P., Hoang, H., Birch, A., Callison-Burch, C., Federico, M., Bertoldi, N., Cowan, B., Shen, W., Moran, C., Zens, R., Dyer, C., Bo- jar, O., Constantin, A., and Herbst, E. (2007). Moses: Open Source Toolkit for ...

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An Example based Decoder for Spoken Language Machine Translation

An Example based Decoder for Spoken Language Machine Translation

... an example-based decoder for the spoken language machine ...the translation models in the SMT, the exam- ple-based decoder obtains an improvement over the baseline phrase-based SMT ...

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CTM: An Example Based Translation Aid System

CTM: An Example Based Translation Aid System

... CTM An Example Based Translation Aid System C, TM An Exmnt)le Based Translation Aid System Satoshi SATO * School of Information Science Japan Institute of Science and Technology, lqokuriku Tat, stmoku[.] ...

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