Named Entity Transliteration
Report of NEWS 2018 Named Entity Transliteration Shared Task
... The organizers of the NEWS 2018 Shared Task would like to thank the Institute for Infocomm Research (Singapore), National University of Singapore, Artificial Intelligence Laboratory at the Ho Chi Minh City University of ...
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A HYBRID APPROACH OF ENGLISH- HINDI NAMED-ENTITY TRANSLITERATION
... Named Entity Transliteration is a process of converting an input named-entity from source language to target ...its transliteration will be “ हनी स िंह ”. Hence in order to ...
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Some Experiments in Mining Named Entity Transliteration Pairs from Comparable Corpora
... Parallel Named Entity pairs are important resources in several NLP tasks, such as, CLIR and MT ...training transliteration systems, if they are transliterations of each ...parallel named ...
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Neural Machine Translation Techniques for Named Entity Transliteration
... Transliterating named entities from one lan- guage into another can be approached as neural machine translation (NMT) prob- lem, for which we use deep attentional RNN encoder-decoder ...strong ...
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Named Entity Transliteration Generation Leveraging Statistical Machine Translation Technology
... Different considerations need to be paid atten- tion to depending on the transliteration direction. Transliterating Arabic names into English is dif- ferent from transliterating English names into Ara- bic. For ...
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Weakly Supervised Named Entity Transliteration and Discovery from Multilingual Comparable Corpora
... We introduce an algorithm we call co-ranking which exploits these observations simultaneously to match NEs on one side of the bilingual cor- pus to their counterparts on the other. We use a Discrete Fourier Transform ...
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Cluster specific Named Entity Transliteration
... Existing named entity (NE) transliteration approaches often exploit a general model to transliterate NEs, regardless of their ...train transliteration and language mod- els for each cluster ...
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Mitigating Problems in Analogy-based EBMT with SMT and vice versa: A Case Study with Named Entity Transliteration
... taken named entity (NE) transliteration as a case study because NEs are typically ...unknown named entities (NEs) in an English-Hindi transliteration ...
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NCU IISR English Korean and English Chinese Named Entity Transliteration Using Different Grapheme Segmentation Approaches
... In the shared task for NEWS 2015, we focus on English-Korean and English-Chinese transliter- ation. We adopt the M2M-aligner and DirecTL+ to map substrings and predict transliteration re- sults. Jiampojamarn et ...
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Named Entity Transliteration with Comparable Corpora
... pinyin transliteration of the ...sible transliteration pairs we are less lenient than standard estimation techniques in that we are will- ing to assign zero probability to some correspon- ...
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Named Entity Transliteration and Discovery from Multilingual Comparable Corpora
... single entity may be represented by multiple transliteration ...English entity may be acceptable, as long as they are phonetically similar to the ...
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Applying Neural Networks to English Chinese Named Entity Transliteration
... English-Chinese transliteration, multiple En- glish letters are usually mapped into one sin- gle Chinese ...of transliteration units on the English ...
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Unsupervised Named Entity Transliteration Using Temporal and Phonetic Correlation
... rors in second language pronunciation are deter- mined by the difference in the phonological sys- tem of learner’s first and second language. The same substitution/deletion/insertion patterns in the second language ...
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Marathi/Hindi to English Transliteration of Named Entity using WEKA Tool
... In this paper, we put forward the Hindi/Marathi to English machine transliteration using WEKA tool. We have used SMO algorithm of WEKA tool as machine learning algorithm for classification purpose. As SMO creates ...
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Joint Parsing and Named Entity Recognition
... and named entity ...and named entity recognition modestly im- proved performance on both ...and named entity spans, and does a better job at both tasks than separate models with ...
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Named Entity Recognition with Bilingual Constraints
... monolingual named entity annotated data (NE-mono) is necessary to train a monolingual NER ...tagger. Named entity annotated bitext (NE-bitext) is used to evaluate our bilingual ...
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Biomedical Named Entity Recognition: A Review
... Supervised machine learning techniques aim at enabling computers to predict the state of a particular instance using a predefined set that contains examples [15]. The key characteristic behind these techniques lies in ...
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Joint Learning of Named Entity Recognition and Entity Linking
... only entity disambiguation of previ- ously detected ...candidate entity representation, a mention representation, and a representation of the mention’s context (Sun et ...
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Proactive Learning for Named Entity Recognition
... The goal of active learning is to minimise the cost of producing an annotated dataset, in which annotators are assumed to be per- fect, i.e., they always choose the correct la- bels. However, in practice, annotators are ...
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A Joint Named Entity Recognition and Entity Linking System
... As outlined in section 1.2, the input for the stan- dard EL task consists in sets of entity mentions from a number of documents, sent as queries to a linking system. Our current task differs in that we aim at both ...
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