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Published in 2017 at "Machine Translation"
DOI: 10.1007/s10590-017-9202-6
Abstract: We describe two transfer approaches for building sentiment analysis systems without having gold labeled data in the target language. Unlike previous work that is focused on using only English as the source language and a…
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Keywords:
lingual sentiment;
sentiment transfer;
machine translation;
sentiment ... See more keywords
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Published in 2020 at "Machine Translation"
DOI: 10.1007/s10590-020-09257-7
Abstract: In today’s digital world people are keen on finding the knowledge they need by surfing the internet to find the answers to their questions. To this aim, many Community Question Answering (CQA) systems are established,…
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Keywords:
cqa systems;
retrieval;
question;
model ... See more keywords
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Published in 2017 at "Neural Processing Letters"
DOI: 10.1007/s11063-017-9762-8
Abstract: Bilingual word embeddings (BWEs) have proven to be useful in many cross-lingual natural language processing tasks. Previous studies often require bilingual texts or dictionaries that are scarce resources. As a result, in these studies, the…
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Keywords:
word;
word embeddings;
semantic constraints;
implicit semantic ... See more keywords
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Published in 2017 at "Natural Language Engineering"
DOI: 10.1017/s1351324917000377
Abstract: Abstract This paper addresses the feasibility of cross-lingual parsing with Universal Dependencies (UD) between Romance languages, analyzing its performance when compared to the use of manually annotated resources of the target languages. Several experiments take…
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Keywords:
romance languages;
cross lingual;
romance;
lingual parsing ... See more keywords
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Published in 2022 at "Natural Language Engineering"
DOI: 10.1017/s1351324922000225
Abstract: Abstract Recent research has reported that standard fine-tuning approaches can be unstable due to being prone to various sources of randomness, including but not limited to weight initialization, training data order, and hardware. Such brittleness…
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Keywords:
training data;
astra astray;
task;
fine tuning ... See more keywords
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Published in 2022 at "Big data"
DOI: 10.1089/big.2020.0243
Abstract: The cross-lingual plagiarism detection (CLPD) is a challenging problem in natural language processing. Cross-lingual plagiarism is when a text is translated from any other language and used as it is without proper acknowledgment. Most of…
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Keywords:
model;
lingual plagiarism;
language;
cross lingual ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3063519
Abstract: This paper proposes a non-parallel cross-lingual voice conversion (CLVC) model that can mimic voice while continuously controlling speaker individuality on the basis of the variational autoencoder (VAE) and star generative adversarial network (StarGAN). Most studies…
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Keywords:
voice;
cross lingual;
speaker;
model ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2021.3136251
Abstract: In this study, we have presented a deep learning-based implementation for speech emotion recognition (SER). The system combines a deep convolutional neural network (DCNN) and a bidirectional long-short term memory (BLSTM) network with a time-distributed…
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Keywords:
emotion recognition;
study;
cross lingual;
speech emotion ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3260835
Abstract: As we know, cross-lingual word embedding alignment is critically important for reference-free machine translation evaluation, where source texts are directly compared with system translations. In this paper, it is revealed that multilingual knowledge distillation for…
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Keywords:
lingual word;
word embedding;
word;
reference free ... See more keywords
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Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3051005
Abstract: The cross-lingual sentiment analysis (CLSA) aims to leverage label-rich resources in the source language to improve the models of a resource-scarce domain in the target language, where monolingual approaches based on machine learning usually suffer…
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Keywords:
cross lingual;
sentiment;
transfer;
knowledge ... See more keywords
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Published in 2019 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2019.2896494
Abstract: This paper contributes to cross-lingual image annotation and retrieval in terms of data and baseline methods. We propose COCO-CN, a novel dataset enriching MS-COCO with manually written Chinese sentences and tags. For effective annotation acquisition,…
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Keywords:
retrieval;
cross lingual;
coco;
lingual image ... See more keywords