MTIL2017: Machine Translation Using Recurrent Neural Network on Statistical Machine Translation
Machine translation (MT) is the automatic translation of the source language to its target language by a computer system. In the current paper, we propose an approach of using recurrent neural networks (RNNs) over traditional statistical MT (SMT).
Mahata Sainik Kumar +2 more
doaj +1 more source
This study presents a method to analyze social media interactions and their relationship with investor decisions and stock market movements. It explores three questions: (1) the best method for classifying stock-related social media posts, (2) the ...
PAOLA BONGINI +3 more
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Characterizing Attribution and Fluency Tradeoffs for Retrieval-Augmented Large Language Models [PDF]
Renat Aksitov +4 more
openalex +1 more source
Crawling the Internal Knowledge-Base of Language Models [PDF]
Roi Cohen +3 more
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Helium Speech Recognition Method Based on Spectrogram with Deep Learning
With the development of the marine economy and the increase in marine activities, deep saturation diving has gained significant attention. Helium speech communication is indispensable for saturation diving operations and is a critical technology for deep
Yonghong Chen, Shibing Zhang, Dongmei Li
doaj +1 more source
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing [PDF]
Edoardo Maria Ponti +7 more
openalex +1 more source
Prompting Large Language Models to Power Educational Chatbots
Juan Carlos Farah +4 more
openalex +2 more sources
Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis [PDF]
Ruiyang Qin +7 more
openalex +1 more source
WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse [PDF]
Manaal Faruqui +3 more
openalex +1 more source
A Full Morphosyntactic Annotation of the State Archives of Assyria Letter Corpus
The dataset consists of a full morphosyntactic annotation of the normalized letter corpus of the State Archives of Assyria online (SAAo), plus associated metadata regarding sender, recipient, estimated date of composition, script, and dialect of Akkadian
Matthew Ong
doaj +1 more source

