feasibility of human-in-the-loop minimum error rate training Leonardville Kansas

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feasibility of human-in-the-loop minimum error rate training Leonardville, Kansas

WordNet is not available for Indo-Aryan languages except Hindi and there are not many sources available for extracting clean mono-lingual data. Differing provisions from the publisher's actual policy or licence agreement may be applicable.This publication is from a journal that may support self archiving.Learn more © 2008-2016 researchgate.net. Crowdsourcing marketplaces (e.g., Amazon Mechanical Turk) are human computation systems that coordinate workers to perform tasks in exchange for monetary rewards. Overall we outperformed the baseline system having no semantic information by the increase in word accuracy of 1.6\% for the Hindi ASR in English-Hindi system.

All rights reserved.About us · Contact us · Careers · Developers · News · Help Center · Privacy · Terms · Copyright | Advertising · Recruiting We use cookies to give you the best possible experience on ResearchGate. This thesis addresses problems of data-sparsity and translation quality of a SMT system for English-Hindi and Indo-Aryan language pairs. Please try the request again. Our method utilizes a local attention-based model that generates each word of the summary conditioned on the input sentence.

Generated Sat, 15 Oct 2016 17:50:44 GMT by s_ac15 (squid/3.5.20) ERROR The requested URL could not be retrieved The following error was encountered while trying to retrieve the URL: http://0.0.0.7/ Connection There are various genres of human computation applications that exist today. With the growth of the Web, human computation systems can now leverage the abilities of...https://books.google.de/books/about/Human_Computation.html?hl=de&id=bF7ePcj-cUMC&utm_source=gb-gplus-shareHuman ComputationMeine BücherHilfeErweiterte BuchsucheE-Book kaufen - 23,99 €Nach Druckexemplar suchenAmazon.deBuch.de - €33,70Buchkatalog.deLibri.deWeltbild.deIn Bücherei suchenAlle Händler»Human ComputationEdith Law, Luis ZaidanRead moreDiscover moreData provided are for informational purposes only.

The system returned: (22) Invalid argument The remote host or network may be down. ZaidanChris Callison-BurchRead moreConference PaperData Issues in English-to-Hindi Machine Translation.October 2016Ondřej BojarPavel StraňákDaniel ZemanRead moreConference PaperJoshuaOctober 2016Zhifei LiChris Callison-BurchChris Dyer+5 more authors…Omar F. We use ZMERT (Zaidan, 2009 ) for weights optimization . The ones marked * may be different from the article in the profile.DoneDuplicate citationsThe following articles are merged in Scholar.

Your cache administrator is webmaster. morefromWikipedia Tools and Resources Save to Binder Export Formats: BibTeX EndNote ACMRef Share: | Author Tags algorithms design languages learning paradigms machine learning model development and analysis model verification and validation Generated Sat, 15 Oct 2016 17:50:44 GMT by s_ac15 (squid/3.5.20) ERROR The requested URL could not be retrieved The following error was encountered while trying to retrieve the URL: http://0.0.0.10/ Connection With the growth of the Web, human computation systems can now leverage the abilities of an unprecedented number of people via the Web to perform complex computation.

The ACM Guide to Computing Literature All Tags Export Formats Save to Binder Cookies helfen uns bei der Bereitstellung unserer Dienste. Although carefully collected, accuracy cannot be guaranteed. Table of Contents: Introduction / Human Computation Algorithms / Aggregating Outputs / Task Routing / Understanding Workers and Requesters / The Art of Asking Questions / The Future of Human Computation rgreq-4c1c789eeff970214fe5020d76afef63 false ERROR The requested URL could not be retrieved The following error was encountered while trying to retrieve the URL: http://0.0.0.6/ Connection to 0.0.0.6 failed.

As triangulation technique explores additional multi parallel data, it provides us with separately estimated phrase-tables which could be further smoothed using smoothing methods. See all ›64 CitationsSee all ›8 ReferencesShare Facebook Twitter Google+ LinkedIn Reddit Request full-text Z-MERT: A Fully Configurable Open Source Tool for Minimum Error Rate Training of Machine Translation SystemsArticle · January 2009 with 12 Generated Sat, 15 Oct 2016 17:50:44 GMT by s_ac15 (squid/3.5.20) ERROR The requested URL could not be retrieved The following error was encountered while trying to retrieve the URL: http://0.0.0.8/ Connection For this step we use Z-MERT (Zaidan, 2009).

We establish that Z-MERT is extremely efficient, making it well-suited for time-sensitive pipelines. e experiments also provide an insight into the tool's runtime in terms of several variables (size of the morefromWikipedia Machine translation Machine translation, sometimes referred to by the abbreviation MT (not to be confused with computer-aided translation, machine-aided human translation MAHT and interactive translation) is a sub-field of computational Please try the request again. Although carefully collected, accuracy cannot be guaranteed.

tasks to workers techniques true answer Turkers users visual Wikipedia workers and requestersBibliografische InformationenTitelHuman ComputationSynthesis digital library of engineering and computer scienceBand 13 von Synthesis lectures on artificial intelligence and machine Their combined citations are counted only for the first article.DoneMerge duplicatesCitations per yearScholarFollowEmailFollow new articlesFollow new citationsCreate alertCancelOmar F. Your cache administrator is webmaster. A topological space whose topology can be described by a metric is called metrizable.

In this work, we have improved the performance of speech recognition of a translator speaking in the target language, taking the advantage of source language string and synset information from WordNet. It ran on Digital Equipment Corporation PDP-11 computers (models 11/45 and 11/70). We have used phrase table triangulation instead of sentence based triangulation as it gives better translations. While the model is structurally simple, it can easily be trained end-to-end and scales to a large amount of training data.

The major challenge to identify such closely related bilingual news articles is how to take full advantage of various information sources such as length, translation equivalence and publishing date. The system returned: (22) Invalid argument The remote host or network may be down. Firstly, we explore the use of distributed representations in a language model in a Recurrent neural network based Language Model (RNNLM) framework with different linguistic features and secondly, we explore the Your cache administrator is webmaster.

Try again later.Show moreDates and citation counts are estimated and are determined automatically by a computer program.Help Privacy Terms Provide feedback Get my own profile For full functionality of ResearchGate it In addition to being an open source tool that is extremely easy to compile and run, Z-MERT is also agnostic regarding the evaluation metric, fully configurable, and requires no modification to The subsequent approach explores the various system combination techniques through which these triangulated systems can be combined to improve the translations. MT systems for other Indo-Aryan language pairs which are trained on small parallel corpora are improved using various recently developed techniques in the field of SMTs.

Accordingly, we propose a discriminative model for bilingual news alignment, which is capable of incorporating arbitrary information sources as features. Triangulation is the process of using an intermediate language as a pivot to translate a source language to a target language. rgreq-1e82b0d24c50c82ea701127b249f939c false For full functionality of ResearchGate it is necessary to enable JavaScript. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Reader QuickTime Windows Media Player Real Player Did you know the ACM DL App is

Triangulation is a technique which has been found to be very useful in improving the translations when multilingual parallel corpora are present. This book is aimed at achieving four goals: (1) defining human computation as a research area; (2) providing a comprehensive review of existing work; (3) drawing connections to a wide variety All rights reserved.About us · Contact us · Careers · Developers · News · Help Center · Privacy · Terms · Copyright | Advertising · Recruiting We use cookies to give you the best possible experience on ResearchGate. Your cache administrator is webmaster.

Generated Sat, 15 Oct 2016 17:50:44 GMT by s_ac15 (squid/3.5.20) Generated Sat, 15 Oct 2016 17:50:44 GMT by s_ac15 (squid/3.5.20) ERROR The requested URL could not be retrieved The following error was encountered while trying to retrieve the URL: http://0.0.0.9/ Connection Your cache administrator is webmaster. Multi-Environment Real-Time was created in the 1970s at Bell Labs, and was a spinoff of Unix.

Here are the instructions how to enable JavaScript in your web browser. Games with a purpose (e.g., the ESP Game) specifically target online gamers who generate useful data (e.g., image tags) while playing an enjoyable game. Zaidan Johns Hopkins University, Baltimore, MD Chris Callison-Burch Johns Hopkins University, Baltimore, MD Published in: ·Proceeding EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume In this work, we propose a fully data-driven approach to abstractive sentence summarization.

Read our cookies policy to learn more.OkorDiscover by subject areaRecruit researchersJoin for freeLog in EmailPasswordForgot password?Keep me logged inor log in with An error occurred while rendering template. We use a complex recaser combining a Moses-based recasing model and in-house rulebased algorithms based on source text information and word alignments. "Conference Paper · Jan 2016 Alexander MolchanovFedor BykovReadA Neural SMT depends heavily on parallel training data available for a language pair. In identity verification tasks, users perform computation in order to gain access to some online content; an example is reCAPTCHA, which leverages millions of users who solve CAPTCHAs every day to

Experiments on Chinese-English data show that our method significantly outperforms two strong baseline systems by 12.7% and 2.5%, respectively.Do you want to read the rest of this chapter?Request full-text CitationsCitations1ReferencesReferences13Malay Named