Results 31 to 40 of about 1,389,721 (276)

Towards a Sentiment Analyser for Low-resource Languages [PDF]

, 2020
Twitter is one of the top influenced social media which has a million number of active users. It is commonly used for microblogging that allows users to share messages, ideas, thoughts and many more. Thus, millions interaction such as short messages or tweets are flowing around among the twitter users discussing various topics that has been happening ...
Indriani, Dian, Nasution, Arbi Haza, Monika, Winda, Nasution, Salhazan   +3 more
openaire   +2 more sources

Multilingual Projection for Parsing Truly Low-Resource Languages [PDF]

Transactions of the Association for Computational Linguistics, 2016
We propose a novel approach to cross-lingual part-of-speech tagging and dependency parsing for truly low-resource languages. Our annotation projection-based approach yields tagging and parsing models for over 100 languages. All that is needed are freely available parallel texts, and taggers and parsers for resource-rich languages.
Agic, Zeljko, Johannsen, Anders Trærup, Plank, Barbara, Martinez Alonso, Hector, Schluter, Natalie Elaine, Søgaard, Anders   +5 more
openaire   +5 more sources

Progress of the PRINCIPLE project: promoting MT for Croatian, Icelandic, Irish and Norwegian [PDF]

, 2020
This paper updates the progress made on the PRINCIPLE project, a 2-year action funded by the European Commission un-der the Connecting Europe Facility (CEF) programme.
Bago, Petra, Dunne, Jane, Gaspari, Federico, Kristmannsson, Gauti, Kåsen, Andre, McHugh, Helen, Olsen, Jon Arild, Sheridan, Dana D., Sheridan, Páraic, Tinsley, John, Way, Andy   +10 more
core  

An HPC-Ready, Wikidata-Based Workflow for Exploratory Geocoding of Unstructured Textual Corpora

Journal of Open Humanities Data
Geocoding, the task of linking place names in text to geographic coordinates, is a cornerstone of spatial humanities research, yet many existing tools assume structured data, contemporary toponyms, or commercial geocoding services that limit reuse ...
Annie K. Lamar
doaj   +1 more source

Survey on Data Processing and Data Augmentation in Low-resource Language Automatic Speech Recognition [PDF]

Jisuanji kexue
Due to the absence of transcribed speech,applying end-to-end ASR technology to low-resource language is challenging,making low-resource language ASR is a prominent research topic in NLP.Research on ASR in low-resource settings can be approached from two ...
YANG Jian, SUN Liu, ZHANG Lifang
doaj   +1 more source

Era- and Genre-Specific Stop Word Lists for Low-Resource Computational Research: A Classical Latin 'Exemplum'

Journal of Open Humanities Data
In this data paper, we argue that computational researchers—particularly those working in low-resource contexts—should consult with linguistic specialists to create targeted stop lists developed with specific eras, genres, authors, or contexts in mind ...
Rachel E. Dubit, Annie K. Lamar
doaj   +1 more source

Zero-shot Neural Transfer for Cross-lingual Entity Linking

, 2018
Cross-lingual entity linking maps an entity mention in a source language to its corresponding entry in a structured knowledge base that is in a different (target) language.
Carbonell, Jaime, Neubig, Graham, Rijhwani, Shruti, Xie, Jiateng   +3 more
core   +1 more source

Converse Attention Knowledge Transfer for Low-Resource Named Entity Recognition

International Journal of Crowd Science
In recent years, great success has been achieved in many tasks of natural language processing (NLP), e.g., named entity recognition (NER), especially in the high-resource language, i.e., English, thanks in part to the considerable amount of labeled ...
Shengfei Lyu, Linghao Sun, Huixiong Yi, Yong Liu, Huanhuan Chen, Chunyan Miao   +5 more
doaj   +1 more source

Extending Multilingual BERT to Low-Resource Languages [PDF]

Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Multilingual BERT (M-BERT) has been a huge success in both supervised and zero-shot cross-lingual transfer learning. However, this success has focused only on the top 104 languages in Wikipedia that it was trained on. In this paper, we propose a simple but effective approach to extend M-BERT (E-BERT) so that it can benefit any new language, and show ...
Wang, Zihan, K, Karthikeyan, Mayhew, Stephen, Roth, Dan   +3 more
openaire   +2 more sources

OdNER: NER resource creation and system development for low-resource Odia language

Natural Language Processing Journal
This work aims to enhance the usability of natural language processing (NLP) based systems for the low-resource Odia language by focusing on the development of effective named entity recognition (NER) system.
Tusarkanta Dalai, Anupam Das, Tapas Kumar Mishra, Pankaj Kumar Sa   +3 more
doaj   +1 more source