[PDF] Top 20 Some Experiments in Mining Named Entity Transliteration Pairs from Comparable Corpora

... However, some signatures, such as ஐஸ்வர்஬ோ (aiSvaryaa), correspond to an equiva- lence class in which every element is a morpholog- ical variation of the ...pure. Some signatures represent only a subset of ... See full document

... of experiments investigated the effectiveness of Stage 1 of MINT on comparable corpora that are constituted by pairs of similar articles, where the pairing information between the articles is ... See full document

... data from comparable corpora in order to enrich existing statistical translation models is an avenue that attracted a lot of research in recent ...are experiments that convincingly show how ... See full document

... have some errors espe- cially for out-of-vocabulary (OOV) words which are segmented to single Chinese characters in most ...to some faults for keyword ...our experiments, we set ... See full document

... of some type, ...our experiments, this naive multi-type prop- agation still leads to an unsatisfactory F1-score of ...London” from “Mandelson visited the WTO”, to stop false propagations, which ... 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 corpus to their counterparts on the other. We use a Discrete Fourier Transform ... See full document

... modern transliteration engines are based on machine learning approaches (see, ...mine transliteration pairs, only named entities (NEs), from comparable ...Starting from an ... See full document

... or transliteration alone), on those Chinese words that have translations in the English part of the comparable ...a named entity recognizer and noun phrase chunker to extract English names and ... See full document

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

... linear transliteration model. We first train a transliteration model on single- word ...ranked transliteration candidates in another lan- ...NE. Pairs of NEs and the best candidates are then ... See full document

... name transliteration using compa- rable corpora, corpora where texts in the two languages deal in some of the same topics — and therefore share references to named entities — but are ... See full document

... results from the Named Entity Transliteration Shared Task conducted as part of The Seventh Named Enti- ties Workshop (NEWS 2018) held at ACL 2018 in Melbourne, ...name ... See full document

... for named entity (NE) recognition task, which are (1) revising the results of the exist- ing NE recognizer and (2) annotating NEs only by ...The experiments revealed that the semi-automatic ... See full document

... Kuntschick, Albert Weichselbraun, and Lyn- don J.B. Nixon. 2018. Framing named entity linking error types. In Nicoletta Calzolari, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Koiti ... See full document

... Model ensembling Model ensembling leads to consistent improvements for NMT (Sutskever et al., 2014; Sennrich et al., 2016a; Denkowski and Neu- big, 2017). An ensemble of independent models usually outperforms an ensemble ... See full document

... Next we compared these vectors and calculated the similarity of their time series distributions across different news sources. Our basic strategy was to use the cosine similarity of two vectors as the likeli- hood of the ... See full document

... machine transliteration, which is a generative Hidden Markov Model (HMM) that directly maps the source names into target names via passing them through a trained source ... See full document

... (apart from the fact that short vowels are no represented) the script is fairly ...ranges from zero upwards; the score is used to rank can- didate transliterations, with the candidate having the lowest cost ... 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

... our transliteration scheme since: (i) it can be entered using Roman keyboard characters, (ii) the Roman character mappings map to Indic script characters in a phonetically intuitive ...for some characters ... See full document