Malta

Punctuation restoration is a crucial step after Automatic Speech Recognition (ASR) systems to enhance transcript readability and facilitate subsequent NLP tasks. Nevertheless, conventional lexical-based approaches are inadequate for solving the punctuation restoration task in Spanish, where ambiguity can be often found between unpunctuated declaratives and questions. In this study, we propose a novel hybrid acoustic-lexical punctuation restoration system for Spanish transcription, which consolidates acoustic and lexical signals through a modular process. Our experiment results show that the proposed system can effectively improve F1 score of question marks and overall punctuation restoration on both public and internal Spanish conversational datasets. Additionally, benchmark comparison against LLMs (Large Language Model) indicates the superiority of our approach in accuracy, reliability and latency. Furthermore, we demonstrate that the Word Error Rate (WER) of the ASR module also benefits from our proposed system.

EACL 2024

Resolving Transcription Ambiguity in Spanish: A Hybrid Acoustic-Lexical System for Punctuation Restoration

acoustic-lexical

hybrid system

punctuation restoration

spanish

workshop paper

Welcome to the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL). Continuing its mission of expanding and involving the science community of all European countries, EACL has selected the Malta community for the 18th EACL. Considering the importance of physical interaction among researchers, the conference will be held at the Hotel Radisson Blu, St. Julians, in Malta, from 17 to 22 of March, 2024. The conference will also feature the possibility to participate virtually. As the flagship European conference in the field of computational linguistics, EACL welcomes European and international researchers covering a broad spectrum of research areas that are concerned with computational approaches to natural language. 
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As the flagship European conference in the field of computational linguistics, EACL welcomes European and international researchers covering a broad spectrum of research areas that are concerned with computational approaches to natural language.

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Assessing the Significance of Encoded Information in Contextualized Representations to Word Sense Disambiguation

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Below the Sea (with the Sharks): Probing Textual Features of Implicit Sentiment in a Literary Case-study

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Exploiting Large Language Models and Prompt Engineering Techniques to detect and classify implicit content in Italian political discourse.

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Colour Me Uncertain: Representing Vagueness with Probabilistic Semantics

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- modelling meaning change, based on the results of the above; and
- evaluation.

The tutorial will provide an introduction to lexical semantic change and an overview of the resources available (corpora, pre-trained diachronic models and data sets). We will highlight issues related to the creation and use of diachronic corpora and different procedures for annotating data. We will then present the current state of the art in automatic detection of LSC, provide a hands-on section on available systems and tools, and open the floor for discussion on possible applications.

Computational Modeling of Semantic Change

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Resolving Transcription Ambiguity in Spanish: A Hybrid Acoustic-Lexical System for Punctuation Restoration

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