Using machine translation to support multilingual content
Machine Translation for Multilingual Summary Content Evaluation
... The multilingual summarization pilot task at TAC’11 opened a lot of problems we are fac- ing when we try to evaluate summary qual- ity in different ...summary translation and summarizing ma- chine ...
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Multilingual Subjectivity Analysis Using Machine Translation
... fication is used. This could imply that a classifier cannot be so easily trained on the cues that humans use to express subjectivity, especially when they are not overtly expressed in the sentence and thus can be lost in ...
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Multilingual Sentiment Analysis using Machine Translation?
... Via E. Fermi 2749, Ispra, Italy alexandra.balahur, [email protected] Abstract The past years have shown a steady growth in interest in the Natural Language Process- ing task of sentiment analysis. The ...
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Multilingual Semantic Relatedness using lightweight machine translation
... generated using the SSpace Package [14], while W2V and GloVe were generated using the code shared by the respective ...measures using four human-annotated gold standard datasets: Miller & Charles ...
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A neural interlingua for multilingual machine translation
... a multilingual encoder-decoder neural machine translation (NMT) ...zero-shot translation (without using pivot translation), and by using the source sentence embeddings to ...
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Machine Translation as a Testbed for Multilingual Analysis
... below) using an alignment algorithm described in detail in Menezes and Richardson ...structural translation correspondences which are stored for use at runtime in the transfer ...
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Massively Multilingual Neural Machine Translation
... els, it is much better for the 50-to-50, 75-to-75 and 103-to-103 models. Given these results we can say that the balance between capacity and general- ization here favors the mid range 50-to-50 model, even when ...
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WordNet Gloss Translation for Under resourced Languages using Multilingual Neural Machine Translation
... of multilingual neural machine ...chine Translation (NMT) has recently been applied to many tasks in natural language processing, leading to state-of-the-art per- ...tained. Using training ...
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Rationale for a multilingual corpus for machine translation evaluation
... The main purpose of our survey was to gather information on the kinds of texts and topics most frequently translated using MT systems. Information obtained from this part of the survey is providing useful ...
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Multilingual Neural Machine Translation with Language Clustering
... Abstract Multilingual neural machine translation (NMT), which translates multiple languages using a single model, is of great practi- cal importance due to its advantages in simplifying the ...
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Active Learning for Multilingual Statistical Machine Translation
... systems support for our ex- ...a multilingual setting, a dif- ferent source language might be able to provide a good translation, thus saving annotation ...
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Query translation for multilingual content with semantic technique
... overcome using translation, synonym, and ...Malay translation of the relevant Quranic verses, 1 synonym which is Tamar and the rest are either the translation into English and Arabic or ...
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Large Scale Multilingual Broadcast Data Collection to Support Machine Translation and Distillation Technology Development
... address machine translation and distillation of multilingual broadcast data depends heavily on the collection of large volumes of material from modern data ...of content from several dozen ...
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Multilingual Neural Machine Translation with Task Specific Attention
... Abstract Multilingual machine translation addresses the task of translating between multiple source and target ...that using a target-specific model of attention provides consistent gains in ...
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Multilingual Neural Machine Translation for Low-Resource Languages
... of using multilingual models for pivoting unseen translation ...Pivoting using M4-NMT system showed to perform better in three out of four evaluations, from the RNN and transformer ...
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Paraphrases as Foreign Languages in Multilingual Neural Machine Translation
... two multilingual baselines 2 built on multilingual attentional NMT, Family and Span (Zhou et ...the multilingual baseline by adding one language family at a time, where on top of the French cor- pus ...
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Improving Statistical Machine Translation with a Multilingual Paraphrase Database
... large-scale multilingual paraphrase database such as PPDB can pivot through a large amount of data in many different ...to using the source language data for finding paraphrases which distinguishes it from ...
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Multilingual Annotation and Disambiguation of Discourse Connectives for Machine Translation
... Rue de Candolle 2, 1211 Geneva 4, Switzerland [email protected], [email protected] Abstract Many discourse connectives can signal several types of relations between sentences. Their automatic ...
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Learning Curricula for Multilingual Neural Machine Translation Training
... Low-resource Multilingual Neural Machine Translation (MNMT) is typically tasked with improving the translation performance on one or more language pairs with the aid of high- resource language ...
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A Multilingual System for Cyberbullying Detection: Arabic Content Detection using Machine Learning
... Cyberstalking: Repeated, intense harassment and denigration that includes threats or creates significant fear. Bullying and cyberbullying leave mental and physical effects on both the bully (predator) and the victim. ...
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