Transliteration Mining
Report of NEWS 2010 Transliteration Mining Shared Task
... literation Mining Shared Task that was run as a part of the Named Entities Workshop (NEWS 2010), an ACL 2010 ...featured mining of name translite- rations from the paired Wikipedia titles in 5 different ...
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QCRI MES Submission at WMT13: Using Transliteration Mining to Improve Statistical Machine Translation
... either transliteration pairs or non-transliteration ...not transliteration of each ...etc. Transliteration mining extracts transliteration pairs from the list of word ...
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An Algorithm for Unsupervised Transliteration Mining with an Application to Word Alignment
... our transliteration mining algorithm on three tasks: transliteration mining from Wikipedia InterLanguage Links, transliteration mining from parallel corpora, and word alignment ...
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Improved Transliteration Mining Using Graph Reinforcement
... Generally iterative graph reinforcement was able to induce unseen mappings in training data – improving recall. Link reweighting favored precision over recall counterbalancing the effect of graph reinforcement. The ...
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Improving Transliteration Mining by Integrating Expert Knowledge with Statistical Approaches
... generative transliteration model was trained using limited resources by using two methods: phonetic conflation and iterative training of the transliteration ...tested transliteration from five source ...
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Statistical Models for Unsupervised, Semi Supervised Supervised Transliteration Mining
... Supervised transliteration mining systems (Nabende 2010; Noeman and Madkour 2010; El-Kahki et ...of transliteration pairs that is automatically aligned at the character ...of transliteration ...
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Arabizi Detection and Conversion to Arabic
... Arabizi is Arabic text that is written using Latin characters. Arabizi is used to present both Mod- ern Standard Arabic (MSA) or Arabic dialects. It is commonly used in informal settings such as so- cial networking sites ...
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Robust Transliteration Mining from Comparable Corpora with Bilingual Topic Models
... Figure 5 shows the precision-recall curve for the SVM hybrid model over the test set. We vary recall by ranking the hybrid model scores for all test pairs and selecting only the highest scoring fraction to evaluate. This ...
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Language Independent Transliteration Mining System Using Finite State Automata Framework
... We propose the use of MOSES framework 1 for PBSMT training which was applied on the 1k par- allel seed data. The proposed approach depends on the formulation of the transliteration problem us- ing the PBSMT ...
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A Statistical Model for Unsupervised and Semi supervised Transliteration Mining
... for transliteration min- ing and then describe a previously defined unsuper- vised ...hundred transliteration pairs or of just a few carefully selected transliteration ...on transliteration ...
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Brahmi Net: A transliteration and script conversion system for languages of the Indian subcontinent
... sive transliteration and script conversion solution for all languages of the Indian ...supervised transliteration mining and leveraging the phonetic and scriptural similarities between the lan- ...
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Punjabi Machine Transliteration
... Machine Transliteration (PMT) system is an effort to bridge the written communication gap between the two scripts for the benefit of the mil- lions of Punjabis around the ...
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Some Experiments in Mining Named Entity Transliteration Pairs from Comparable Corpora
... such transliteration candidates are culled from the Tamil corpus for a given NE in English, we further cull out unlikely candidates, by re-ranking them using frequency cues from the aligned comparable ...possible ...
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Hindi to Urdu Machine Translation through Transliteration
... We used our knowledge of the Hindi and Urdu scripts to define the initial character mapping. The mapping was further extended by looking into available Hindi-Urdu transliteration systems [5,6] and other resources ...
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Transliteration as Constrained Optimization
... English-Hebrew transliteration pairs, and used an- other 250 different samples for training the ...300 transliteration pairs out of all the pos- sible transliteration ...evaluating ...
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NEWS 2018 Whitepaper
... languages. Transliteration of Named Entities (NEs) is a necessary subtask in many applica- tions, such as machine translation, cor- pus alignment, cross-language IR, infor- mation extraction and automatic lexicon ...
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Transliteration Alignment
... studies transliteration align- ment, its evaluation metrics and applica- ...for transliteration alignment at phoneme and grapheme ...In transliteration validation application, we achieve ...
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Issues in Hindi to English and Marathi to English Machine Transliteration of Named Entities
... machine transliteration of Hindi to English and Marathi to English which are previously less studied language ...Machine transliteration is usually used to support the machine translation (MT) and ...
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A Hybrid Transliteration Model for Chinese/English Named Entities —BJTU NLP Report for the 5th Named Entities Workshop
... machine transliteration system based on the fusion multiple ...for transliteration (Koehn et ...of transliteration can be described as follows: for a given source language name s find the optimal ...
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MINT: A Method for Effective and Scalable Mining of Named Entity Transliterations from Large Comparable Corpora
... CLIR systems have been studied in several works (Ballesteros and Croft, 1998; Kraiij et al, 2003). The limited coverage of dictionaries has been recognized as a problem in CLIR and MT (Demner-Fushman & Oard, 2002; ...
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