Expanding the European Parliament Translation and Interpreting Corpus: A Modular Pipeline for the Construction of Complex Corpora
The present paper introduces an expanded version of the European Parliament Translation and Interpreting Corpus (EPTIC), a multimodal parallel corpus comprising speeches delivered at the European Parliament along with their official interpretations and translations (see Bernardini et al., 2016; Bernardini et al., 2018). Constructing multimodal and parallel corpora for translation and interpreting studies (TIS) has been acknowledged as a “formidable task” (Bernardini et al., 2018), which – if automated, as we propose – involves a number of subtasks such as automatic speech recognition (ASR), multilingual sentence alignment, and forced alignment, each of which poses its own challenges. Yet tackling these subtasks also offers a unique way to evaluate state-of-the-art natural language processing (NLP) tools against a unique, multilingual benchmark. In this paper we discuss the development of a modular pipeline adaptable for each of these subtasks and address the broader implications of this work for the field of corpus construction.
Sep 15, 2024
🎉 Paper accepted at JTDH, the 14th Conference on Language Technologies and Digital Humanities
Expanding the European Parliament Translation and Interpreting Corpus: A Modular Pipeline for the Construction of Complex Corpora
Jul 5, 2024
A Corpus for Sentence-Level Subjectivity Detection on English News Articles
We develop novel annotation guidelines for sentence-level subjectivity detection, which are not limited to language-specific cues. We use our guidelines to collect NewsSD-ENG, a corpus of 638 objective and 411 subjective sentences extracted from English news articles on controversial topics. Our corpus paves the way for subjectivity detection in English and across other languages without relying on language-specific tools, such as lexicons or machine translation. We evaluate state-of-the-art multilingual transformer-based models on the task in mono-, multi-, and cross-language settings. For this purpose, we re-annotate an existing Italian corpus. We observe that models trained in the multilingual setting achieve the best performance on the task.
May 25, 2024
✅ Started working on EPTIC, the European Parliament Translation and Interpreting Corpus
The aim of the project is to design a pipeline to expand the existing data and experiment with speech recognition models
Oct 1, 2023