|
|
|
Hermilo Santiago-Benito , Diana-Margarita Córdova-Esparza , Noé-Alejandro Castro-Sánchez , Teresa García-Ramirez , Julio-Alejandro Romero-González and Juan Terven
This paper introduces a novel method for collecting and translating texts from the Mixtec to the Spanish language. The method comprises four primary steps. First, we collected a Mixtec?Spanish corpus that includes 4568 sentences from educational and reli...
ver más
|
|
|
|
|
|
|
Atnafu Lambebo Tonja, Olga Kolesnikova, Alexander Gelbukh and Grigori Sidorov
Despite the many proposals to solve the neural machine translation (NMT) problem of low-resource languages, it continues to be difficult. The issue becomes even more complicated when few resources cover only a single domain. In this paper, we discuss the...
ver más
|
|
|
|
|
|
|
Ridwan Ilyas, Masayu Leylia Khodra, Rinaldi Munir, Rila Mandala and Dwi Hendratmo Widyantoro
The paraphrase generator for citation sentences is used to produce several sentence alternatives to avoid plagiarism. Furthermore, the generation results need to pay attention to semantic similarity and lexical divergence standards. This study proposed t...
ver más
|
|
|
|
|
|
|
Frederick Gyasi and Tim Schlippe
French is a strategically and economically important language in the regions where the African language Twi is spoken. However, only a very small proportion of Twi speakers in Ghana speak French. The development of a Twi?French parallel corpus and corres...
ver más
|
|
|
|
|
|
|
Zhenping Li, Zhen Cao, Pengfei Li, Yong Zhong and Shaobo Li
The task of multi-hop question generation (QG) seeks to generate questions that require a complex reasoning process that spans multiple sentences and answers. Beyond the conventional challenges of what to ask and how to ask, multi-hop QG necessitates sop...
ver más
|
|
|
|
|
|
|
Deepika Kumar, Varun Srivastava, Daniela Elena Popescu and Jude D. Hemanth
Image captioning is oriented towards describing an image with the best possible use of words that can provide a semantic, relatable meaning of the scenario inscribed. Different models can be used to accomplish this arduous task depending on the context a...
ver más
|
|
|
|
|
|
|
Séamus Lankford, Haithem Afli and Andy Way
In this study, a human evaluation is carried out on how hyperparameter settings impact the quality of Transformer-based Neural Machine Translation (NMT) for the low-resourced English?Irish pair. SentencePiece models using both Byte Pair Encoding (BPE) an...
ver más
|
|
|
|
|
|
|
Mourad Sarrouti, Asma Ben Abacha and Dina Demner-Fushman
Visual Question Generation (VQG) from images is a rising research topic in both fields of natural language processing and computer vision. Although there are some recent efforts towards generating questions from images in the open domain, the VQG task in...
ver más
|
|
|
|
|
|
|
Sreela S R and Sumam Mary Idicula
Due to the rapid growth of deep learning technologies, automatic image description generation is an interesting problem in computer vision and natural language generation. It helps to improve access to photo collections on social media and gives guidance...
ver más
|
|
|
|
|
|
|
Md. Nawab Yousuf Ali, Md. Lizur Rahman and Golam Sorwar
The people in Bangladesh and two states (i.e., Tripura and West Bengal) in India, which is about 230 million of the world population, use Bangla as their first dialect. However, very few numbers of resources and tools are available for this language. Thi...
ver más
|
|
|
|