Search Results - "Bentivogli, Luisa"

Gender Bias in Machine Translation by Savoldi, Beatrice, Gaido, Marco, Bentivogli, Luisa, Negri, Matteo, Turchi, Marco

“…Machine translation (MT) technology has facilitated our daily tasks by providing accessible shortcuts for gathering, processing, and communicating information…”
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Good, but not always Fair: An Evaluation of Gender Bias for three Commercial Machine Translation Systems by Piazzolla, Silvia Alma, Savoldi, Beatrice, Bentivogli, Luisa

“…Machine Translation (MT) continues to make significant strides in quality and is increasingly adopted on a larger scale. Consequently, analyses have been…”
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MuST-C: A multilingual corpus for end-to-end speech translation by Cattoni, Roldano, Di Gangi, Mattia Antonino, Bentivogli, Luisa, Negri, Matteo, Turchi, Marco

“…•Problem: end-to-end speech translation requires large corpora to train neural models.•Contribution: MuST-C is a large multilingual corpus built from English…”
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Neural versus phrase-based MT quality: An in-depth analysis on English–German and English–French by Bentivogli, Luisa, Bisazza, Arianna, Cettolo, Mauro, Federico, Marcello

“…•Evaluation through high quality post-edits performed by professional translators.•Focus on English–German and English–French language directions.•Neural MT…”
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SICK through the SemEval glasses. Lesson learned from the evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment by Bentivogli, Luisa, Bernardi, Raffaella, Marelli, Marco, Menini, Stefano, Baroni, Marco, Zamparelli, Roberto

“…This paper is an extended description of SemEval-2014 Task 1, the task on the evaluation of Compositional Distributional Semantics Models on full sentences…”
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Creating a ground truth multilingual dataset of news and talk show transcriptions through crowdsourcing by Sprugnoli, Rachele, Moretti, Giovanni, Bentivogli, Luisa, Giuliani, Diego

“…This paper describes the development of a multilingual and multigenre manually annotated speech dataset, freely available to the research community as ground…”
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On the Evaluation of Adaptive Machine Translation for Human Post-Editing by Bentivogli, Luisa, Bertoldi, Nicola, Cettolo, Mauro, Federico, Marcello, Negri, Matteo, Turchi, Marco

“…We investigate adaptive machine translation (MT) as a way to reduce human workload and enhance user experience when professional translators operate in…”
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The first Automatic Translation Memory Cleaning Shared Task by Barbu, Eduard, Escartín, Carla Parra, Bentivogli, Luisa, Negri, Matteo, Turchi, Marco, Orasan, Constantin, Federico, Marcello

“…This paper reports on the organization and results of the first Automatic Translation Memory Cleaning Shared Task. This shared task is aimed at finding…”
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Good, but not always Fair: An Evaluation of Gender Bias for three commercial Machine Translation Systems by Piazzolla, Silvia Alma, Savoldi, Beatrice, Bentivogli, Luisa

“…Hermes Journal of Language and Communication in Business no 63 2023 Machine Translation (MT) continues to make significant strides in quality and is…”
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What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study by Savoldi, Beatrice, Papi, Sara, Negri, Matteo, Guerberof, Ana, Bentivogli, Luisa

“…Gender bias in machine translation (MT) is recognized as an issue that can harm people and society. And yet, advancements in the field rarely involve people,…”
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SimulSeamless: FBK at IWSLT 2024 Simultaneous Speech Translation by Papi, Sara, Gaido, Marco, Negri, Matteo, Bentivogli, Luisa

“…This paper describes the FBK's participation in the Simultaneous Translation Evaluation Campaign at IWSLT 2024. For this year's submission in the…”
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StreamAtt: Direct Streaming Speech-to-Text Translation with Attention-based Audio History Selection by Papi, Sara, Gaido, Marco, Negri, Matteo, Bentivogli, Luisa

“…Streaming speech-to-text translation (StreamST) is the task of automatically translating speech while incrementally receiving an audio stream. Unlike…”
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SBAAM! Eliminating Transcript Dependency in Automatic Subtitling by Gaido, Marco, Papi, Sara, Negri, Matteo, Cettolo, Mauro, Bentivogli, Luisa

“…Subtitling plays a crucial role in enhancing the accessibility of audiovisual content and encompasses three primary subtasks: translating spoken dialogue,…”
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Enhancing Gender-Inclusive Machine Translation with Neomorphemes and Large Language Models by Piergentili, Andrea, Savoldi, Beatrice, Negri, Matteo, Bentivogli, Luisa

“…Machine translation (MT) models are known to suffer from gender bias, especially when translating into languages with extensive gendered morphology…”
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How do Hyenas deal with Human Speech? Speech Recognition and Translation with ConfHyena by Gaido, Marco, Papi, Sara, Negri, Matteo, Bentivogli, Luisa

“…The attention mechanism, a cornerstone of state-of-the-art neural models, faces computational hurdles in processing long sequences due to its quadratic…”
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Speech Translation with Speech Foundation Models and Large Language Models: What is There and What is Missing? by Gaido, Marco, Papi, Sara, Negri, Matteo, Bentivogli, Luisa

“…The field of natural language processing (NLP) has recently witnessed a transformative shift with the emergence of foundation models, particularly Large…”
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A Prompt Response to the Demand for Automatic Gender-Neutral Translation by Savoldi, Beatrice, Piergentili, Andrea, Fucci, Dennis, Negri, Matteo, Bentivogli, Luisa

“…Gender-neutral translation (GNT) that avoids biased and undue binary assumptions is a pivotal challenge for the creation of more inclusive translation…”
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Test Suites Task: Evaluation of Gender Fairness in MT with MuST-SHE and INES by Savoldi, Beatrice, Gaido, Marco, Negri, Matteo, Bentivogli, Luisa

“…As part of the WMT-2023 "Test suites" shared task, in this paper we summarize the results of two test suites evaluations: MuST-SHE-WMT23 and INES. By focusing…”
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How To Build Competitive Multi-gender Speech Translation Models For Controlling Speaker Gender Translation by Gaido, Marco, Fucci, Dennis, Negri, Matteo, Bentivogli, Luisa

“…When translating from notional gender languages (e.g., English) into grammatical gender languages (e.g., Italian), the generated translation requires explicit…”
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No Pitch Left Behind: Addressing Gender Unbalance in Automatic Speech Recognition through Pitch Manipulation by Fucci, Dennis, Gaido, Marco, Negri, Matteo, Cettolo, Mauro, Bentivogli, Luisa

“…Automatic speech recognition (ASR) systems are known to be sensitive to the sociolinguistic variability of speech data, in which gender plays a crucial role…”
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