[PDF] Top 20 A Challenge Set Approach to Evaluating Machine Translation
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A Challenge Set Approach to Evaluating Machine Translation
... a challenge set of difficult examples that are designed using expert linguistic knowl- edge to probe an MT system’s ...test set from “real text,” which remains necessary in order to predict ... See full document
11
Evaluating the morphological competence of Machine Translation Systems
... As an attempt to evaluate the error margin of our evaluation results, we have run a manual check of our evaluation measures. For this, we have taken all 500 sentence pairs reflecting past tense (A-set), as well as ... See full document
13
Comparing a Hand crafted to an Automatically Generated Feature Set for Deep Learning: Pairwise Translation Evaluation
... of machine translation (MT) has proven to be a very significant research ...statistical machine translation (SMT) model and the other from a neural machine translation (NMT) ... See full document
9
Evaluating Discourse Phenomena in Neural Machine Translation
... test set results, which can only give high scores when target-side context is used, the contextual information of the type studied in this paper seems to be best exploited when chan- nelled through the recurrent ... See full document
10
Evaluating the Impact of Using a Domain-specific Bilingual Lexicon on the Performance of a Hybrid Machine Translation Approach
... in machine translation, a docu- ment corresponds to a ...language) translation candidates from an indexed monolingual ...same set of words (Salton and McGill, ... See full document
9
Retrieval Effectiveness of News Search Engines: A Theoretical Framework
... for evaluating the retrieval effectiveness of news search ...supervised machine learning approach for evaluating therefore we performed retrieval effectiveness tests on a small data set ... See full document
7
Rule Based Approach for English to Sanskrit Machine Translation and Synthesizer System
... • Token Generator: This module splits the given sentence into chunks of str ings delimited by spaces. These strings may be simple words or compound words coalesced by the rule of English Grammar. By applying the r ules ... See full document
6
Crowdsourcing for Evaluating Machine Translation Quality
... crowdsourcing approach to achieve high-quality and low cost ...for translation evalua- tion based on the usage of translations: translation-score, sentence-score, and ...of machine ... See full document
8
Non-Autoregressive Machine Translation with Auxiliary Regularization
... The challenge, though, is how to improve the quality of decoder representa- tions to address the two problems identified above while still keeping the benefit of efficient inference of the NAT ...this ... See full document
8
Evaluating Neural Machine Translation in English Japanese Task
... we set the bias of forget gate to 1 before training (Jozefowicz, Zaremba, and Sutskever, ...the translation, we set beam size to 20, if no valid translation is obtained, then another trail ... See full document
8
Evaluating Domain Adaptation for Machine Translation Across Scenarios
... From the original data, we extracted around 2000 segments as development sets per domain, to serve as either tuning sets for SMT systems or validation sets for NMT systems. As test sets, for each domain we extracted 3 ... See full document
10
PROTEST: A Test Suite for Evaluating Pronouns in Machine Translation
... disambiguation approach as for “you” ...similar translation problems to those posed by “it” and “you” and in order to keep the number of pronoun tokens manage- able when it comes to manual evaluation, ... See full document
8
Re evaluating the Role of Bleu in Machine Translation Research
... automatic translation evaluation metrics do a much better job at incorporating re- call than Bleu ...measures translation accu- racy in terms of precision and recall directly rather than precision and a ... See full document
8
A Machine Learning Approach to the Automatic Evaluation of Machine Translation
... appropriate set of features has been selected and tools to automatically extract those features are in place, classifiers can be built and evaluated ...automated approach is essential when dealing with an ... See full document
8
Evaluating Machine Translation in a Usage Scenario
... than translation, has not (yet) been established as a major research ...on translation of newspaper texts, which does not readily lend itself to task- based ...for evaluating the eventual bene- fit ... See full document
8
Approach to Selecting Best Development Set for Phrase-Based Statistical Machine Translation
... As we do in the phrase-based method, we want to find sentences which have the structures can cover the great mass of the test set. So we firstly parse all the source language sentences (including the development ... See full document
10
Evaluating Gender Bias in Machine Translation
... first challenge set and eval- uation protocol for the analysis of gender bias in machine translation ...gender-biased translation errors for all tested target ... See full document
6
Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers
... five translation tasks: Machine Translation of News, Machine Translation of IT domain, Biomedical Translation, Multimodal Machine Translation, and Cross-lingual ... See full document
28
A Framework of Translator From English Speech To Sanskrit Text
... The approach represents the current state of ...new approach to the challenging problem of conversational speech recognition has emerged, holding a promise to overcome some fundamental limitations of the ... See full document
9
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... for translation is much larger than one ...repetitive translation and improvements by human annotators and translators contribute significantly to any MT ... See full document
8
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