N07-1046 gives an example of the difference named entity transliteration can make . Shown are the original
W03-1508 order to obtain a clean corpus of Named Entity transliterations we performed the following steps
W10-2408 <authors></authors> Abstract We propose a Named Entities transliteration mining system using Finite State
N09-1034 constraints driven approach to named entity transliteration . In doing it we show that romanization
E09-1091 similar news content are rich in Named Entity Transliteration Equivalents ( NETEs ) . Our mining
P07-1015 Abstract In this paper we investigate named entity transliteration based on a phonetic scoring method
P07-3005 that the work done on automatic named entity transliteration often crosses paths with the
W03-1502 Experiment Result and Discussion 4.1 Named Entity Transliteration Three sets of experiments are
W03-1508 possible errors . 4.1 Extracting Named Entity Transliteration Pairs for Translation Model Training
P08-2014 <title> Active Sample Selection for Named Entity Transliteration </title> Dan Goldwasser Dan Roth
N10-1073 information retrieval to mine named entity transliterations from large comparable corpora
P06-1010 insightful comments . <title> Named Entity Transliteration with Comparable Corpora </title>
W03-1502 minimization . We presented a named entity transliteration model and iteratively extracted
W03-1502 minimization strategy . We present a named entity transliteration model and iteratively extract
D12-1002 large body of the literature in named entity transliteration , so we will describe only the
W05-0712 overcome NE identifiers errors . 4.3 Named Entity Transliteration NE transliteration is essential
P12-2026 Kwok et al. ( 2005 ) focus on named entity transliteration and implemented a cross-language
N06-1011 reviewers for their comments . <title> Named Entity Transliteration and Discovery from Multilingual
W06-1630 words in text . 2 Previous Work Named entity transliteration is the problem of pro- ducing
W03-1502 the following sections . 3.1 . Named Entity Transliteration Cost " to " Sarajevo " ) and
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