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Found 17 papers, 3 papers with code
Love Thy Neighbor: Combining Two Neighboring Low-Resource Languages for Translation
Low-resource languages sometimes take on similar morphological and syntactic characteristics due to their geographic nearness and shared history.
The Nós Project: Opening routes for the Galician language in the field of language technologies
The development of language technologies (LTs) such as machine translation, text analytics, and dialogue systems is essential in the current digital society, culture and economy.
Cultural Vocal Bursts Intensity Prediction
Machine Translation
+2
WordNet-QU: Development of a Lexical Database for Quechua Varieties
In the effort to minimize the risk of extinction of a language, linguistic resources are fundamental.
Lexicography Saves Lives (LSL): Automatically Translating Suicide-Related Language
Previous work has used English dictionaries related to suicide to translate into different target languages due to lack of other available resources.
The First Multilingual Model For The Detection of Suicide Texts
Suicidal ideation is a serious health problem affecting millions of people worldwide.
Is Peer-Reviewing Worth the Effort?
How effective is peer-reviewing in identifying important papers?
Semantic Role Labeling of NomBank Partitives
This article is about Semantic Role Labeling for English partitive nouns (5%/REL of the price/ARG1; The price/ARG1 rose 5 percent/REL) in the NomBank annotated corpus.
The Role of Handling Attributive Nouns in Improving Chinese-To-English Machine Translation
Translating between languages with drastically different grammatical conventions poses challenges, not just for human interpreters but also for machine translation systems.
NLP Case Study on Predicting the Before and After of the Ukraine-Russia and Hamas-Israel Conflicts
Our results show that through the use of advanced NLP techniques (both supervised and unsupervised) toxicity and other attributes about language before and after a conflict is predictable with a low error of nearly 1. 2 percent for both conflicts.
On Translating Technical Terminology: A Translation Workflow for Machine-Translated Acronyms
The typical workflow for a professional translator to translate a document from its source language (SL) to a target language (TL) is not always focused on what many language models in natural language processing (NLP) do - predict the next word in a series of words.
Predicting Anchored Text from Translation Memories for Machine Translation Using Deep Learning Methods
Many CAT tools offer a fuzzy-match algorithm to locate segments (s) in the TM that are close in distance to s'.
Nollywood: Let's Go to the Movies!
Nollywood, based on the idea of Bollywood from India, is a series of outstanding movies that originate from Nigeria.
Evaluating Self-Supervised Speech Representations for Indigenous American Languages
The application of self-supervision to speech representation learning has garnered significant interest in recent years, due to its scalability to large amounts of unlabeled data.
Classification of US Supreme Court Cases using BERT-Based Techniques
We compare our results for two classification tasks: (1) a broad classification task with 15 categories and (2) a fine-grained classification task with 279 categories.
Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models
However, the languages most in need of automatic alignment are low-resource and, thus, not typically included in the pretraining data.
Addressing Distribution Shift at Test Time in Pre-trained Language Models
However, PLMs have been found to degrade in performance under distribution shift, a phenomenon that occurs when data at test-time does not come from the same distribution as the source training set.
Enhancing Networking Cipher Algorithms with Natural Language
This work provides a survey of several networking cipher algorithms and proposes a method for integrating natural language processing (NLP) as a protective agent for them.
