[PDF] Top 20 Evaluation of Machine Translation Performance Across Multiple Genres and Languages
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Evaluation of Machine Translation Performance Across Multiple Genres and Languages
... different languages, we aim at developing a single classification procedure that can be used on any source document regardless of the lan- guage it is written ...three languages: Arabic, Chinese, and ... See full document
6
Character Level Machine Translation Evaluation for Languages with Ambiguous Word Boundaries
... (Translation Evaluation of Sentences with Linear-programming-based Analysis – Character-level Evaluation for Languages with Ambiguous word Bound- aries) for automatic machine ... See full document
9
Evaluation of a Machine Translation System for Low Resource Languages: METIS-II
... the performance of SYSTRAN is very stable for ES-EN and NL-EN, it shows a greater variation for the other two language ...the languages themselves and the degree of development of ... See full document
8
Finding Medical Term Variations using Parallel Corpora and Distributional Similarity
... statistical machine translation can be applied to collect translational variations across various languages which are then used to identify seman- tically related words and ...various ... See full document
10
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... 7,105 languages spoken in the world ...domain machine translation tool developed specifically for ...Urdu Machine translation ...Bilingual Evaluation Understudy (BLEU) and the ... See full document
8
Translation and Extension of Concepts Across Languages
... manual evaluation for 24 ...all languages, average precision (% of correct terms in concept) is above 80, and frequently above 90, and the aver- age number of extracted terms is above ...considering ... See full document
9
The NewSoMe Corpus: A Unifying Opinion Annotation Framework across Genres and in Multiple Languages
... Amazon Mechanical Turk, on the other hand, did not counted on any system for either dynamically training the annotators or controlling of the quality of the resulting data, but it allowed the user to evaluate the ... See full document
8
Detecting vandalism on Wikipedia across multiple languages
... (Bilingual Evaluation Understudy) score [Papineni et ...evaluating machine trans- lation system [Callison-Burch et ...a translation score of 1 [Papineni et ...set evaluation statistics and ... See full document
179
Comparing a Hand crafted to an Automatically Generated Feature Set for Deep Learning: Pairwise Translation Evaluation
... automatic evaluation of machine translation (MT) has proven to be a very significant research ...automatic evaluation methods focus on the evalua- tion of the output of MT as they compute ... See full document
9
Phrase Based Backoff Models for Machine Translation of Highly Inflected Languages
... the evaluation results on the dev ...both languages; BLEU improvements are significant in all conditions for Finnish and for the two smallest training sets for ...The evaluation results for the test ... See full document
8
Proceedings of the Third Conference on Machine Translation: Research Papers
... three translation tasks: Machine Translation of News, Biomedical Translation, and Multimodal Machine Translation, two evaluation tasks: Metrics and Quality Estimation, as ... See full document
30
Performance Analysis and Visualization of Machine Translation Evaluation
... of performance for the MT evaluation methods [ISLE ...conditions, genres, domains, ...possible across evaluators, or for equivalent inputs; 4) must be cheap to prepare; 5) must be cheap to ... See full document
18
Proceedings of the Human Informed Translation and Interpreting Technology Workshop (HiT IT 2019)
... Human-Informed Translation and Interpreting Technology (HiT-IT 2019) took place in Varna, Bulgaria and spanned over two days (5-6 September 2019), as a post-RANLP 2019 conference ...participants across all ... See full document
10
Annotating Attribution Relations across Languages and Genres
... Similarly to news, where the article attribution to its writer is not annotated, in SARC the relation between the speaker and each turn utterance in the dialogue is not annotated as an AR. While a dialogue in fiction or ... See full document
8
Truly Exploring Multiple References for Machine Translation Evaluation
... We believe the main reason is that data spar- sity of recurring n-grams at segment level is more severe than at document and system levels. The second possible cause is that the smoothed BLEU score is not based on actual ... See full document
8
Advertisements
... mantic phenomena in particular languages, and, especially, comparative and contrastive linguistics studies of such phenomena in sets of languages - machine translation as an application [r] ... See full document
9
Proceedings of the Second Conference on Machine Translation
... Jan-Thorsten Peter, Hermann Ney, Ondˇrej Bojar, Ngoc-Quan Pham, Jan Niehues, Alex Waibel, Franck Burlot, François Yvon, M¯arcis Pinnis, Valters Sics, Joost Bastings, Miguel Rios, Wilker Aziz, Philip Williams, Frédéric ... See full document
24
Machine Translation from an Intercomprehension Perspective
... similar languages, where all participant use their own native languages and still successfully understand each ...cial languages, even if these languages are mutu- ally ...chine ... See full document
5
Machine Translation Approaches and Survey for Indian Languages
... After the birth of computers Electrical Numerical Integrator and Calculator (ENIAC) in 1947, research began on using computers as aids for translating natural languages (Hutchins et al., 2005). The first public ... See full document
32
Optimizing Segmentation Strategies for Simultaneous Speech Translation
... high performance compared to the other ...higher performance than RP at all speed ...gin translation about two to three times faster than Punct-Predict while maintaining the same perfor- ... See full document
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