Results 251 to 260 of about 3,331,987 (298)

Benchmarking Large Language Models for Persian: A Preliminary Study Focusing on ChatGPT

International Conference on Language Resources and Evaluation
This paper explores the efficacy of large language models (LLMs) for Persian. While ChatGPT and consequent LLMs have shown remarkable performance in English, their efficiency for more low-resource languages remains an open question.
Amirhossein Abaskohi, Sara Baruni, Mostafa Masoudi, Nesa Abbasi, Mohammad Hadi Babalou, Ali Edalat, Sepehr Kamahi, Samin Mahdizadeh Sani, Nikoo Naghavian, Danial Namazifard, Pouya Sadeghi, Yadollah Yaghoobzadeh   +11 more
semanticscholar   +1 more source

Persian Language Understanding in Task-Oriented Dialogue System for Online Shopping

Conference on Information and Knowledge Technology, 2020
Natural language understanding is a critical module in task-oriented dialogue systems. Recently, state-of-the-art approaches use deep learning methods and transformers to improve the performance of dialogue systems.
Zeinab Borhanifard, Hossein Basafa, S. Z. Razavi, Heshaam Faili   +3 more
semanticscholar   +1 more source

Persian sign language recognition using IMU and surface EMG sensors

, 2021
A sign language recognition (SLR) system has been broadly used by deaf individuals as a communicative tool. Progress of SLR systems paves the way for the development of Human–computer interaction (HCI) since sign language is the most structured form, and
Sara Askari Khomami, S. Shamekhi
semanticscholar   +1 more source

Machine Translation with Large Language Models: Prompt Engineering for Persian, English, and Russian Directions

arXiv.org
Generative large language models (LLMs) have demonstrated exceptional proficiency in various natural language processing (NLP) tasks, including machine translation, question answering, text summarization, and natural language understanding.
Nooshin Pourkamali, S. Sharifi
semanticscholar   +1 more source

Translation and validation of parental perspective questionnaire for children with cochlear implant in persian language

International Journal of Audiology, 2020
Objective: Parental views about the outcomes of implantation on the child’s quality of life are valuable sources of information for implantation specialists.
Toktam Maleki Shahmahmood, A. Ebadi, S. Rahmani, F. Aghaei, Fatemeh Haresabadi, Mohsen Rajati Haghi, Hamid Tayarani Niknezhad   +6 more
semanticscholar   +1 more source

FarSick: A Persian Semantic Textual Similarity And Natural Language Inference Dataset

International Conference on Computer and Knowledge Engineering, 2021
Semantic textual similarity(STS) and natural language inference(NLI) are important tasks in natural language processing(NLP) such as information retrieval, text classification, subject extraction, text summarization, machine translation and plagiarism ...
Zahra Ghasemi, M. Keyvanrad
semanticscholar   +1 more source

Persian Language Instruction

Middle East Studies Association Bulletin, 1972
This survey of Persian language instruction in the United States and Canada does not pretend to be exhaustive in coverage, or to present the most up-to-date and complete information in all aspects. A questionnaire was sent in June 1971 to some 28 institutions of higher learning where Persian was known or suspected to be taught at the time.
openaire   +1 more source

PersianMind: A Cross-Lingual Persian-English Large Language Model

arXiv.org
Large language models demonstrate remarkable proficiency in various linguistic tasks and have extensive knowledge across various domains. Although they perform best in English, their ability in other languages is notable too.
Pedram Rostami, Alireza Salemi, M. Dousti   +2 more
semanticscholar   +1 more source

Unsupervised aspect-based Sentiment Analysis in the Persian language: Extracting and clustering aspects

International Conference on Computer and Knowledge Engineering, 2020
Sentiment analysis is the field of natural language processing to analyze user feedback, preferences, and evaluations from the text. Different organizations in most social scopes use this context as an appropriate tool to find their strengths and ...
Reza Akhoundzade, Kourosh Hashemi Devin
semanticscholar   +1 more source

HOMPer: A new hybrid system for opinion mining in the Persian language

Journal of information science, 2019
Opinion mining is a subfield of data mining and natural language processing that concerns with extracting users’ opinion and attitude towards products or services from their comments on the Web.
Mohammad Ehsan Basiri, Arman Kabiri
semanticscholar   +1 more source