Publication

Are ACT's scores increasing with better translation quality?

2013
Conference Papers

Abstract

This paper gives a detailed description of the ACT (Accuracy of Connective Translation) metric, a reference-based metric that assesses only connective translations. ACT relies on automatic word-level alignment (using GIZA++) between a source sentence and respectively the reference and candidate translations, along with other heuristics for comparing translations of discourse connectives. Using a dictionary of equivalents, the translations are scored automatically or, for more accuracy, semi-automatically. The accuracy of the ACT metric was assessed by human judges on sample data for English/French, English/Arabic, English/Italian and English/German translations; the ACT scores are within 2-5% of human scores. The actual version of ACT is available only for a limited language pairs. Consequently, we are participating only for the English/French and English/German language pairs. Our hypothesis is that ACT metric scores increase with better translation quality in terms of human evaluation.

Official source

https://infoscience.epfl.ch/entities/publication/3fdf5c69-2f20-4701-9c05-51e95f46b1d1

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

2013
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/3fdf5c69-2f20-4701-9c05-51e95f46b1d1

About this result

Related concepts (32)

Translation

Translation is the communication of the meaning of a source-language text by means of an equivalent target-language text. The English language draws a terminological distinction (which does not exist in every language) between translating (a written text) and interpreting (oral or signed communication between users of different languages); under this distinction, translation can begin only after the appearance of writing within a language community.

Machine translation

Machine translation is use of either rule-based or probabilistic (i.e. statistical and, most recently, neural network-based) machine learning approaches to translation of text or speech from one language to another, including the contextual, idiomatic and pragmatic nuances of both languages. History of machine translation The origins of machine translation can be traced back to the work of Al-Kindi, a ninth-century Arabic cryptographer who developed techniques for systemic language translation, including cryptanalysis, frequency analysis, and probability and statistics, which are used in modern machine translation.

Translation criticism

Translation criticism is the systematic study, evaluation, and interpretation of different aspects of translated works. It is an interdisciplinary academic field closely related to literary criticism and translation theory. It includes marking of student translations, and reviews of published translations. The concept itself of "translation criticism" has the following meanings: Quality assessment of the target text, especially of its semantic and pragmatic equivalence regarding the source text.