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Found 22 papers, 6 papers with code
Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas
This paper presents the results of the 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas.
Some strategies for the improvement of a Spanish WordNet
Although there are currently several versions of Princeton WordNet for different languages, the lack of development of some of these versions does not make it possible to use them in different Natural Language Processing applications.
Experiments on a Guarani Corpus of News and Social Media
While Guarani is widely spoken in South America, obtaining a large amount of Guarani text from the web is hard.
Using Context to Improve the Spanish WordNet Translation
We present some strategies for improving the Spanish version of WordNet, part of the MCR, selecting new lemmas for the Spanish synsets by translating the lemmas of the corresponding English synsets.
Can We Use Word Embeddings for Enhancing Guarani-Spanish Machine Translation?
Machine translation for low-resource languages, such as Guarani, is a challenging task due to the lack of data.
Jojajovai: A Parallel Guarani-Spanish Corpus for MT Benchmarking
This work presents a parallel corpus of Guarani-Spanish text aligned at sentence level.
Translating Spanish into Spanish Sign Language: Combining Rules and Data-driven Approaches
This paper presents a series of experiments on translating between spoken Spanish and Spanish Sign Language glosses (LSE), including enriching Neural Machine Translation (NMT) systems with linguistic features, and creating synthetic data to pretrain and later on finetune a neural translation model.
Skill Check: Some Considerations on the Evaluation of Gamemastering Models for Role-playing Games
In role-playing games a Game Master (GM) is the player in charge of the game, who must design the challenges the players face and narrate the outcomes of their actions.
Overview of GUA-SPA at IberLEF 2023: Guarani-Spanish Code Switching Analysis
We present the first shared task for detecting and analyzing code-switching in Guarani and Spanish, GUA-SPA at IberLEF 2023.
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.
Don't Take it Personally: Analyzing Gender and Age Differences in Ratings of Online Humor
Computational humor detection systems rarely model the subjectivity of humor responses, or consider alternative reactions to humor - namely offense.
SemEval 2021 Task 7: HaHackathon, Detecting and Rating Humor and Offense
Our subtasks were binary humor detection, prediction of humor and offense ratings, and a novel controversy task: to predict if the variance in the humor ratings was higher than a specific threshold.
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages
Continued pretraining offers improvements, with an average accuracy of 44. 05%.
Statistical Deep Parsing for Spanish Using Neural Networks
This paper presents the development of a deep parser for Spanish that uses a HPSG grammar and returns trees that contain both syntactic and semantic information.
A Multi-level Annotated Corpus of Scientific Papers for Scientific Document Summarization and Cross-document Relation Discovery
Related work sections or literature reviews are an essential part of every scientific article being crucial for paper reviewing and assessment.
Development of a Guarani - Spanish Parallel Corpus
This paper presents the development of a Guarani - Spanish parallel corpus with sentence-level alignment.
HAHA 2019 Dataset: A Corpus for Humor Analysis in Spanish
This paper presents the development of a corpus of 30, 000 Spanish tweets that were crowd-annotated with humor value and funniness score.
RETUYT in TASS 2017: Sentiment Analysis for Spanish Tweets using SVM and CNN
This article presents classifiers based on SVM and Convolutional Neural Networks (CNN) for the TASS 2017 challenge on tweets sentiment analysis.
A Crowd-Annotated Spanish Corpus for Humor Analysis
Computational Humor involves several tasks, such as humor recognition, humor generation, and humor scoring, for which it is useful to have human-curated data.
What Sentence are you Referring to and Why? Identifying Cited Sentences in Scientific Literature
Current citation networks, which link papers by citation relationships (reference and citing paper), are useful to quantitatively understand the value of a piece of scientific work, however they are limited in that they do not provide information about what specific part of the reference paper the citing paper is referring to.
