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    <abstract>This article presents a multi-faceted analysis of a subset of interpreted conference speeches from the WAW corpus for the English-Arabic language pair. We analyze several speakers and interpreters variables via manual annotation and automatic methods. We propose a new automatic method for calculating interpreters’ décalage based on Automatic Speech Recognition (ASR) and automatic alignment of named entities and content words between speaker and interpreter. The method is evaluated by two human annotators who have expertise in interpreting and Interpreting Studies and shows highly satisfactory results, accompanied with a high inter-annotator agreement. We provide insights about the relations of speakers’ variables, interpreters’ variables and décalage and discuss them from Interpreting Studies and interpreting practice point of view. We had interesting findings about interpreters behavior which need to be extended to a large number of conference sessions in our future research.</abstract>
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%0 Conference Proceedings
%T Human-Informed Speakers and Interpreters Analysis in the WAW Corpus and an Automatic Method for Calculating Interpreters’ Décalage
%A Temnikova, Irina
%A Abdelali, Ahmed
%A Djabri, Souhila
%A Hedaya, Samy
%S Proceedings of the Human-Informed Translation and Interpreting Technology Workshop (HiT-IT 2019)
%D 2019
%8 September
%I Incoma Ltd., Shoumen, Bulgaria
%C Varna, Bulgaria
%F temnikova-etal-2019-human
%X This article presents a multi-faceted analysis of a subset of interpreted conference speeches from the WAW corpus for the English-Arabic language pair. We analyze several speakers and interpreters variables via manual annotation and automatic methods. We propose a new automatic method for calculating interpreters’ décalage based on Automatic Speech Recognition (ASR) and automatic alignment of named entities and content words between speaker and interpreter. The method is evaluated by two human annotators who have expertise in interpreting and Interpreting Studies and shows highly satisfactory results, accompanied with a high inter-annotator agreement. We provide insights about the relations of speakers’ variables, interpreters’ variables and décalage and discuss them from Interpreting Studies and interpreting practice point of view. We had interesting findings about interpreters behavior which need to be extended to a large number of conference sessions in our future research.
%R 10.26615/issn.2683-0078.2019_013
%U https://aclanthology.org/W19-8713
%U https://doi.org/10.26615/issn.2683-0078.2019_013
%P 105-115

Markdown (Informal)

[Human-Informed Speakers and Interpreters Analysis in the WAW Corpus and an Automatic Method for Calculating Interpreters’ Décalage](https://aclanthology.org/W19-8713) (Temnikova et al., RANLP 2019)

• Human-Informed Speakers and Interpreters Analysis in the WAW Corpus and an Automatic Method for Calculating Interpreters’ Décalage (Temnikova et al., RANLP 2019)

ACL

• Irina Temnikova, Ahmed Abdelali, Souhila Djabri, and Samy Hedaya. 2019. Human-Informed Speakers and Interpreters Analysis in the WAW Corpus and an Automatic Method for Calculating Interpreters’ Décalage. In Proceedings of the Human-Informed Translation and Interpreting Technology Workshop (HiT-IT 2019), pages 105–115, Varna, Bulgaria. Incoma Ltd., Shoumen, Bulgaria.