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Found 17 papers, 0 papers with code
A Machine Translation-Powered Chatbot for Public Administration
This paper is about a multilingual chatbot developed for public administration within the CEF funded project ENRICH4ALL.
Towards Improving the Performance of Pre-Trained Speech Models for Low-Resource Languages Through Lateral Inhibition
With the rise of bidirectional encoder representations from Transformer models in natural language processing, the speech community has adopted some of their development methodologies.
An Open-Domain QA System for e-Governance
The paper will present the QA system and its integration with the Romanian language technologies portal RELATE, the COVID-19 data set and different evaluations of the QA performance.
Human-Machine Interaction Speech Corpus from the ROBIN project
The paper contains a detailed description of the acquisition process, corpus statistics as well as an evaluation of the corpus influence on a low-latency ASR system as well as a dialogue component.
A Processing Platform Relating Data and Tools for Romanian Language
This paper presents RELATE (http://relate. racai. ro), a high-performance natural language platform designed for Romanian language.
TermEval 2020: RACAI's automatic term extraction system
This paper describes RACAI{'}s automatic term extraction system, which participated in the TermEval 2020 shared task on English monolingual term extraction.
MWSA Task at GlobaLex 2020: RACAI's Word Sense Alignment System using a Similarity Measurement of Dictionary Definitions
This paper describes RACAI{'}s word sense alignment system, which participated in the Monolingual Word Sense Alignment shared task organized at GlobaLex 2020 workshop.
Collection and Annotation of the Romanian Legal Corpus
We present the Romanian legislative corpus which is a valuable linguistic asset for the development of machine translation systems, especially for under-resourced languages.
The MARCELL Legislative Corpus
This article presents the current outcomes of the MARCELL CEF Telecom project aiming to collect and deeply annotate a large comparable corpus of legal documents.
RACAI's System at PharmaCoNER 2019
This paper describes the Named Entity Recognition system of the Institute for Artificial Intelligence {``}Mihai Dr{\u{a}}g{\u{a}}nescu{''} of the Romanian Academy (RACAI for short).
Adapting the TTL Romanian POS Tagger to the Biomedical Domain
This paper presents the adaptation of the Hidden Markov Models-based TTL part-of-speech tagger to the biomedical domain.
PEXACC: A Parallel Sentence Mining Algorithm from Comparable Corpora
Extracting parallel data from comparable corpora in order to enrich existing statistical translation models is an avenue that attracted a lot of research in recent years.
ROMBAC: The Romanian Balanced Annotated Corpus
This article describes the collecting, processing and validation of a large balanced corpus for Romanian.
