Two languages, one treebank: building a Turkish–German code-switching treebank and its challenges
Ö Çetinoğlu, Ç Çöltekin - Language Resources and Evaluation, 2023 - Springer
This paper presents the SAGT Turkish–German code-switching treebank, and observations
and annotation challenges we encountered during its development. The treebank consists …
and annotation challenges we encountered during its development. The treebank consists …
[HTML][HTML] Language augmentation approach for code-mixed text classification
G Takawane, A Phaltankar, V Patwardhan… - Natural Language …, 2023 - Elsevier
The usage of more than one language in the same text is referred to as Code Mixed. It is
evident that there is a growing degree of adaption of the use of code-mixed data, especially …
evident that there is a growing degree of adaption of the use of code-mixed data, especially …
[PDF][PDF] Sentiment Analysis of Code-mixed Social Media Data on Philippine UAQTE using Fine-tuned mBERT Model
Education (UAQTE) marks a significant policy change in the Philippines. While the
program's objective is to offer free higher education and tertiary education subsidies to …
program's objective is to offer free higher education and tertiary education subsidies to …
Leveraging language identification to enhance code-mixed text classification
G Takawane, A Phaltankar, V Patwardhan… - arXiv preprint arXiv …, 2023 - arxiv.org
The usage of more than one language in the same text is referred to as Code Mixed. It is
evident that there is a growing degree of adaption of the use of code-mixed data, especially …
evident that there is a growing degree of adaption of the use of code-mixed data, especially …
Multimodal approach for code-mixed speech sentiment classification
S Keshav, G Jyothish Lal, B Premjith - Advances in Signal Processing …, 2023 - Springer
Sentiment analysis is a natural language processing (NLP) technique used to classify a
statement into three polarities, namely, positive negative and neutral. Thus, speech …
statement into three polarities, namely, positive negative and neutral. Thus, speech …
Mixed-Distil-BERT: Code-mixed Language Modeling for Bangla, English, and Hindi
One of the most popular downstream tasks in the field of Natural Language Processing is
text classification. Text classification tasks have become more daunting when the texts are …
text classification. Text classification tasks have become more daunting when the texts are …
Cross-lingual Search for e-Commerce based on Query Translatability and Mixed-Domain Fine-Tuning
J Perez-Martin, J Gomez-Robles… - … Proceedings of the …, 2023 - dl.acm.org
Online stores in the US offer a unique scenario for Cross-Lingual Information Retrieval
(CLIR) due to the mix of Spanish and English in user queries. Machine Translation (MT) …
(CLIR) due to the mix of Spanish and English in user queries. Machine Translation (MT) …
Transfer learning based code-mixed part-of-speech tagging using character level representations for Indian languages
AK Madasamy, SK Padannayil - Journal of Ambient Intelligence and …, 2023 - Springer
Massive amounts of unstructured content have been generated day-by-day on social media
platforms like Facebook, Twitter and blogs. Analyzing and extracting useful information from …
platforms like Facebook, Twitter and blogs. Analyzing and extracting useful information from …
Cross-lingual Sentiment Analysis of Code-Mixed Corpus based on Cross-lingual Word Embedding
RR Frias, RP Medina, AM Sison - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Bilingualism is a common linguistic phenomenon that causes a challenge in opinion mining.
The early methods in Cross-lingual Sentiment Analysis (CLSA), based on machine …
The early methods in Cross-lingual Sentiment Analysis (CLSA), based on machine …
Code-Mixed Language Understanding Using BiLSTM-BERT Multi-attention Fusion Mechanism
M Wankhade, N Jain, ACS Rao - International Conference on Machine …, 2023 - Springer
Code-mixed language, characterized by the seamless blending of multiple languages,
presents a formidable challenge for natural language understanding systems. In our work …
presents a formidable challenge for natural language understanding systems. In our work …