[PDF] Top 20 Machine Translation for Multilingual Summary Content Evaluation
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Machine Translation for Multilingual Summary Content Evaluation
... model summary is evaluated against two other models, and each non-model summary is evaluated three times, each time against a different couple of models, and these three scores are averaged out (the ... See full document
9
Domain Specific Query Translation for Multilingual Information Access using Machine Translation Augmented With Dictionaries Mined from Wikipedia
... query translation for CLIA uses an existing MT system to provide automatic ...trieval evaluation workshops have often shown it to be competitive with other translation ...Effective translation ... See full document
8
Translation Crowdsourcing: Creating a Multilingual Corpus of Online Educational Content
... providing machine translation solutions for the educational content available in MOOCs, thus enhancing access to online ...The content genre varies from video lecture subtitles, slides, ... See full document
5
Paraphrases as Foreign Languages in Multilingual Neural Machine Translation
... Qualitative evaluation shows many cases where rhetoric trans- lation is improved by training on diverse sets of ...rhetorical translation ties closely with the diversity of parallel paraphrases ...rhetoric ... See full document
10
Multilingual Sentiment Analysis using Machine Translation?
... distinct Machine Translation (MT) systems - Bing, Google and ...tensive evaluation scenarios show that SMT systems are mature enough to be reliably em- ployed to obtain training data for languages ... See full document
9
Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation
... In the TAC summarization track, human judges scored each model and candidate summary with a readability score from 1 to 5 (5 means most read- able). Thus in our setting, instead of a pair of texts, the training ... See full document
9
Two Multilingual Corpora Extracted from the Tenders Electronic Daily for Machine Learning and Machine Translation Applications
... racy of the classifier is 98%). The raw text is created for each available language by converting the XML into text records. In case of any error in this step, the text is down- loaded directly from the TED’s website or ... See full document
5
Multilingual Subjectivity Analysis Using Machine Translation
... subjective content may be easier to learn in Romanian versus ...a machine learn- ing algorithm may not be able to identify the same amount of information on subjective content in an English versus a ... See full document
9
Machine Translation for Multilingual Troubleshooting in the IT Domain: A Comparison of Different Strategies
... deep translation approach. We focus on translation from English to Portuguese of short sentences taken from real-usage scenarios, where user questions are followed by answers from an IT ...human ... See full document
10
Phrase Based Evaluation for Machine Translation
... facilitate evaluation of machine transla- ...on evaluation take great effects to evaluate translation quality on content relevance and readability, we further introduce high-level ... See full document
10
Rationale for a multilingual corpus for machine translation evaluation
... The evaluation of machine translation output has played a crucial role in the development of MT systems since their emergence over five decades ...the evaluation of part-of-speech taggers, ... See full document
11
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... of translation into three ...corresponding translation fragments and 3) Re-combination that generates the target text in surface form of the target ...transfer translation of new ...two ... See full document
8
From Bilingual to Multilingual Neural Machine Translation by Incremental Training
... stest2013 were used as validation and test sets, respectively. These sets provide parallel data be- tween the four languages that allow for zero-shot evaluation. Preprocessing consisted of a pipeline of ... See full document
7
Massively Multilingual Neural Machine Translation
... “more multilingual” than the data available from all previous WMT news translation shared task evaluations through- out the years – the latest being Bojar et ... See full document
11
Google’s Multilingual Neural Machine Translation System: Enabling Zero Shot Translation
... machine translation. To explicitly improve the zero-shot translation quality, we explore two ways of adding available parallel data and find that small additional amounts are sufficient to reach ... See full document
14
A Richly Annotated, Multilingual Parallel Corpus for Hybrid Machine Translation
... years, machine translation (MT) research has focused on investigating how hybrid machine translation as well as system combination approaches can be designed so that the resulting hybrid ... See full document
5
Improving Statistical Machine Translation with a Multilingual Paraphrase Database
... 5.2 Impact of OOVs: Oracle experiment This oracle experiment shows that translation of OOVs beyond named entities, dates, etc. is poten- tially very useful in improving output translation. We trained a SMT ... See full document
12
Learning Joint Multilingual Sentence Representations with Neural Machine Translation
... The performance of these vanilla seq2seq mod- els substantially degrades with the sequence length since it is difficult to encode long sequences into a single, fixed-size representation. A plausi- ble solution is the ... See full document
11
Natural language processing
... a summary of texts, to populate databases, fill-in slots in frames, identify keywords and phrase for information retrieval, and so ...An evaluation of five text categorization systems has been reported by ... See full document
39
Evaluation of Machine Translation
... EVALUATION OF MACHINE TRANSLATION E V A L U A T I O N O F M A C H I N E T R A N S L A T I O N John S White, Theresa A O'Connell P R C Inc M c L e a n , V A 2 2 1 0 2 a n d Lynn M Carlson D o D A B S T[.] ... See full document
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