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   Articles with "cross lingual" as a keyword



Cross-lingual sentiment transfer with limited resources

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recommendations! 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… read more here.

Keywords: lingual sentiment; sentiment transfer; machine translation; sentiment ... See more keywords

Cross-lingual embedding for cross-lingual question retrieval in low-resource community question answering

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recommendations! 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,… read more here.

Keywords: cqa systems; retrieval; question; model ... See more keywords
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Exploring Implicit Semantic Constraints for Bilingual Word Embeddings

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recommendations! 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… read more here.

Keywords: word; word embeddings; semantic constraints; implicit semantic ... See more keywords

New treebank or repurposed? On the feasibility of cross-lingual parsing of Romance languages with Universal Dependencies†

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recommendations! 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… read more here.

Keywords: romance languages; cross lingual; romance; lingual parsing ... See more keywords

Ad astra or astray: Exploring linguistic knowledge of multilingual BERT through NLI task

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recommendations! 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… read more here.

Keywords: training data; astra astray; task; fine tuning ... See more keywords

AraTraditions10k bridging cultures with a comprehensive dataset for enhanced cross lingual image annotation retrieval and tagging

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-02894-z

Abstract: The exponential growth of multimedia content in the digital age has necessitated the development of advanced cross-lingual systems capable of understanding and interpreting visual information across different languages. However, current efforts have predominantly been focused… read more here.

Keywords: dataset; annotation retrieval; lingual image; image annotation ... See more keywords

Siamese-Based Architecture for Cross-Lingual Plagiarism Detection in English-Hindi Language Pairs

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recommendations! 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… read more here.

Keywords: model; lingual plagiarism; language; cross lingual ... See more keywords

Cross-Lingual Voice Conversion With Controllable Speaker Individuality Using Variational Autoencoder and Star Generative Adversarial Network

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recommendations! 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… read more here.

Keywords: voice; cross lingual; speaker; model ... See more keywords

Bangla Speech Emotion Recognition and Cross-Lingual Study Using Deep CNN and BLSTM Networks

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recommendations! 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… read more here.

Keywords: emotion recognition; study; cross lingual; speech emotion ... See more keywords

Implicit Cross-Lingual Word Embedding Alignment for Reference-Free Machine Translation Evaluation

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recommendations! 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… read more here.

Keywords: lingual word; word embedding; word; reference free ... See more keywords

Unveiling the Linguistic Capabilities of a Self-Supervised Speech Model Through Cross-Lingual Benchmark and Layer- Wise Similarity Analysis

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3428364

Abstract: Self-supervised learning (SSL), an unsupervised representation learning technique, has received widespread attention across various modalities. Speech, with its inherent complexity encompassing acoustic (e.g., speaker, phoneme, and paralinguistic cues) and linguistic (e.g., words, semantics, and syntax)… read more here.

Keywords: ssl; language; ssl models; similarity analysis ... See more keywords