[PDF] Top 20 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 corpus to their counterparts on the other. We use a Discrete Fourier Transform ... See full document

... 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 ... See full document

... NETE discovery from comparable corpora using time series and transliteration model was proposed in (Klementiev and Roth, 2006), and extended for NETE mining for several languages in ... See full document

... gual named entity identification, we are interested in the problem of name transliteration across lan- guages that use different ...the discovery of named entities in “compara- ble” ... See full document

... machine transliteration has gained a center of attention for ...and transliteration are important for e-governance and web based online multilingual ...for named entities. Named ... See full document

... 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 ... See full document

... Identifying and understanding entities is a cru- cial step in understanding text. This task is more challenging in the presence of multilingual text, because translating named entities (NEs), such as ... See full document

... [6] adopted the context co-occurrence relations to extract bilingual lexicon in non-parallel corpora which was one of some early researches on non-parallel corpora. This approach is based on the assumption ... See full document

... the multilingual characteristics of Wikipedia can be utilized to annotate a large corpus of text with Named Entity Recognition (NER) tags requiring minimal human intervention and no linguistic ... See full document

... for Named Entity tagging by using synchronicity of names in com- parable ...a comparable corpus, which is a set of paraphrased ...automatically from parallel corpora (Barzilay and ... See full document

... Named entity (NE) equivalents are useful in many multilingual tasks including MT, transliteration, cross-language IR, ...equivalents from comparable ...(MWNEs) from a ... See full document

... of entity men- tions (rather than ...divergences from the reference annotation twice: if a predicted entity is otherwise correct but ...offset from a gold standard entity, the predicted ... See full document

... We express our gratitude to Ashutosh Marathe, Dean QA, Nitin Patki, Dean Examination, Dr. J S Umale, Dr. S T Patil, Priyadharshan Dhabe, S S Pawale, Rajashree Agarwal, P P Ghadekar, R N Patil, N Z Tarapore, G D Bhutkar, ... See full document

... We investigate the named entity recognition (NER) task. NER involves seeking to locate and classify elements in text into predefined cat- egories, such as the names of people, organiza- tions, and ... See full document

... Since transliteration is a sequence to sequence transcription, we stack a recurrent layer on top of the convolutional layer to handle the depen- dencies between the transliteration ...that ... See full document

... Today’s NEL evaluation tools automatically com- pare the performance of multiple NEL systems on various data sets using a wide variety of ex- periments (e.g., NER - Named Entity Recogni- tion, Entity ... See full document

... 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 ... See full document

... on multilingual named en- tity recognition (NER) proposes to participants to test their system under a multilingual ...entities from raw texts written in multiple ... See full document

... One important work that is concerned with entity-oriented coherence is Centering Theory (Grosz et al., 1995). This theory proposes to model the local mechanisms that create local coherence by operating on the ... See full document

... this transliteration shared task, we are aiming not only at addressing the name conversion process but also its practical utility for downstream applications, such as ma- chine translation and cross-language ... See full document