Marktechpost

MARCH 7, 2024

In the ever-evolving landscape of computational linguistics, bridging language barriers has led to remarkable innovations, particularly in regions characterized by a rich tapestry of languages. Southeast Asia, with its linguistic diversity, presents a unique challenge for language technology.

Computational Linguistics 130

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Marktechpost

JANUARY 30, 2024

Language Agents represent a transformative advancement in computational linguistics. In conclusion, the Uncertainty-Aware Language Agent methodology marks a significant leap forward in computational linguistics. They leverage large language models (LLMs) to interact with and process information from the external world.

Computational Linguistics 127

Computational Linguistics OpenAI Large Language Models LLM 127

Marktechpost

MARCH 10, 2024

In the ever-evolving field of computational linguistics, the quest for models that can seamlessly generate human-like text has led researchers to explore innovative techniques beyond traditional frameworks.

Computational Linguistics 125

Computational Linguistics Artificial Intelligence Artificial Intelligence ML 125

Marktechpost

APRIL 20, 2024

Exploring the synergy between reinforcement learning (RL) and large language models (LLMs) reveals a vibrant area of computational linguistics.

Machine Learning 136

Machine Learning Computational Linguistics Large Language Models LLM 136

Allen AI

JULY 7, 2023

In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 1115–1127, Seattle, United States. Association for Computational Linguistics. Association for Computational Linguistics.

Computational Linguistics 98

Computational Linguistics Artificial Intelligence Artificial Intelligence AI 98

Marktechpost

JANUARY 22, 2024

As technology advances, solutions like Marlin play an important role in pushing the boundaries of what’s possible in computational linguistics. Its innovative techniques and optimizations make it a standout performer, capable of handling large-scale language understanding tasks with remarkable speed and reliability.

LLM 131

LLM Computational Linguistics Large Language Models Artificial Intelligence 131

Marktechpost

MARCH 2, 2024

The emergence of Large Language Models (LLMs) has notably enhanced the domain of computational linguistics, particularly in multi-agent systems. Despite the significant advancements, developing multi-agent applications remains a complex endeavor.

Computational Linguistics 138

Computational Linguistics Large Language Models AI AI 138

Marktechpost

MAY 11, 2024

The ability to construct and evaluate theories regarding language phenomena within computational models is made possible by linguistic expertise, which closes the gap between theoretical linguistics and real-world NLP applications. Study of language: Linguistic expertise is essential to developing NLP’s language study.

Large Language Models 128

Large Language Models NLP Data Scarcity Computational Linguistics 128

Marktechpost

JANUARY 15, 2024

The success of AlignInstruct in enhancing machine translation for low-resource languages is a testament to the importance of innovative approaches in computational linguistics. The results showed that AlignInstruct significantly outperformed baseline models, especially when combined with MTInstruct.

Large Language Models 130

Large Language Models Data Scarcity Computational Linguistics Natural Language Processing 130

Towards AI

JULY 8, 2024

They serve as the building blocks for more complex models and algorithms in the field of computational linguistics. The 2-gram model with more text, we can provide Example Output 2: bigram model, also known as the basics of computational linguistics. By using more context, it should improve its predictive accuracy.

Computational Linguistics 108

Computational Linguistics Natural Language Processing Auto-complete Deep Learning 108

Marktechpost

MAY 12, 2024

Quantization, a method integral to computational linguistics, is essential for managing the vast computational demands of deploying large language models (LLMs). It simplifies data, thereby facilitating quicker computations and more efficient model performance.

Large Language Models 117

Large Language Models Computational Linguistics Algorithm LLM 117

Marktechpost

FEBRUARY 2, 2024

In computational linguistics and artificial intelligence, researchers continually strive to optimize the performance of large language models (LLMs). For instance, models like GPT-3, with 175 billion parameters, require substantial GPU memory, highlighting a need for more memory-efficient and high-performance computational methods.

Large Language Models 134

Large Language Models LLM Computational Linguistics Artificial Intelligence 134

Unite.AI

NOVEMBER 21, 2023

Speech Recognition and Processing Speech Recognition and Processing is a subfield of AI and computational linguistics that focuses on developing systems capable of recognizing and interpreting human speech. Other types of sensory input include the following.

Robotics 211

Robotics Computer Vision Computational Linguistics AI 211

Towards AI

DECEMBER 28, 2023

It combines statistics and mathematics with computational linguistics. Last Updated on December 30, 2023 by Editorial Team Author(s): Davide Nardini Originally published on Towards AI.

Natural Language Processing 105

Natural Language Processing Python Computational Linguistics NLP 105

Marktechpost

MARCH 12, 2024

The advent of large language models (LLMs) has ushered in a new era in computational linguistics, significantly extending the frontier beyond traditional natural language processing to encompass a broad spectrum of general tasks.

Chatbots 128

Chatbots Computational Linguistics Large Language Models LLM 128

Marktechpost

MAY 13, 2024

Tokenization is essential in computational linguistics, particularly in the training and functionality of large language models (LLMs). This process involves dissecting text into manageable pieces or tokens, which is foundational for model training and operations.

Automation 108

Automation Computational Linguistics Large Language Models Natural Language Processing 108

Marktechpost

APRIL 29, 2024

In computational linguistics, much research focuses on how language models handle and interpret extensive textual data. These models are crucial for tasks that require identifying and extracting specific information from large volumes of text, presenting a considerable challenge in ensuring accuracy and efficiency.

Artificial Intelligence 113

Artificial Intelligence Artificial Intelligence Computational Linguistics Data Extraction 113

Marktechpost

MAY 14, 2024

Research in computational linguistics continues to explore how large language models (LLMs) can be adapted to integrate new knowledge without compromising the integrity of existing information.

Categorization 104

Categorization Computational Linguistics Large Language Models Machine Learning 104

Marktechpost

JANUARY 4, 2024

The development of Large Language Models (LLMs), such as GPT and BERT, represents a remarkable leap in computational linguistics. The computational intensity required and the potential for various failures during extensive training periods necessitate innovative solutions for efficient management and recovery.

Computational Linguistics 120

Computational Linguistics Large Language Models LLM BERT 120

Machine Learning Research at Apple

AUGUST 8, 2024

Apple is sponsoring the annual meeting of the Association for Computational Linguistics (ACL), which takes place in person from August 11 to 16, in Bangkok, Thailand.

Computational Linguistics 52

Computational Linguistics 52

Ehud Reiter

JUNE 6, 2023

So I hope more researchers consider submitting papers to TACL or other journals such as Computational Linguistics !

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Computational Linguistics Algorithm NLP Python 173

deepsense.ai

MAY 4, 2023

deepsense.ai’s research paper “TrelBERT: A pre-trained encoder for Polish Twitter” has been accepted for presentation at the 9th Biennial Workshop on Slavic NLP (SlavNLP-2023), a part of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL).

NLP 52

NLP Computational Linguistics Natural Language Processing 52

Marktechpost

AUGUST 12, 2023

This innovative tool was presented at the 2023 Association for Computational Linguistics (ACL) conference. The Text to Image Association Test offers a structured approach to assessing biases across several dimensions, such as gender, race, career, and religion.

Computational Linguistics 98

Computational Linguistics Software Engineer Generative AI AI Researcher 98

Analytics Vidhya

AUGUST 5, 2020

Overview Text analytics is becoming easier with many people working day and night on each aspect of Natural Language Processing We list a set. The post People to Follow in the field of Natural Language Processing (NLP) appeared first on Analytics Vidhya.

Natural Language Processing 358

Natural Language Processing NLP Text Analytics Computational Linguistics 358

NLP People

MAY 18, 2018

Cluster of Excellence on “Multimodal Computing and Interaction”, Saarland University MMCI Cluster of Excellence is a collaborative top-research facility, bringing together computer science, software systems, and computational linguistics. in Computational Linguistics, and PhD opportunities.

NLP 52

NLP Computational Linguistics Data Mining Natural Language Processing 52

NYU Center for Data Science

JULY 24, 2024

Ravfogel holds a BSc in both Computer Science and Chemistry from Bar-Ilan University, as well as an MSc in Computer Science from the same institution. This multidisciplinary foundation has informed his unique approach to computational linguistics and machine learning. By Stephen Thomas

Natural Language Processing 73

Natural Language Processing Computational Linguistics Neural Network Machine Learning 73

Marktechpost

JULY 15, 2023

This year, a paper presented at the Association for Computational Linguistics (ACL) meeting delves into the importance of model scale for in-context learning and examines the interpretability of LLM architectures. These models, which are trained on extensive amounts of data, can learn in context, even with minimal examples.

Large Language Models 98

Large Language Models AI Researcher AI Research Computational Linguistics 98

Ehud Reiter

SEPTEMBER 8, 2024

Computational Linguistics. ( [link] ) S Ballocu et al (2024). I also briefly described six recent (2024) evaluation research papers which I really liked: C Thomson et al (2024). Common Flaws in Running Human Evaluation Experiments in NLP. Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs.

NLP 141

NLP LLM Computational Linguistics Prompt Engineer 141

Ehud Reiter

OCTOBER 10, 2023

BLEU survey: better presentation of results Another example is my 2018 paper which presented a structured survey of the validity of BLEU; this was published in Computational Linguistics journal. In short, by insisting that we do a proper evaluation, the reviewers massively improved our paper.

Computational Linguistics 111

Computational Linguistics Software Development Artificial Intelligence Artificial Intelligence 111

Analytics Vidhya

SEPTEMBER 22, 2019

Overview How do search engines like Google understand our queries and provide relevant results? Learn about the concept of information extraction We will apply. The post How Search Engines like Google Retrieve Results: Introduction to Information Extraction using Python and spaCy appeared first on Analytics Vidhya.

Python 302

Python Natural Language Processing Computational Linguistics NLP 302

NYU Center for Data Science

JANUARY 24, 2025

The paper will be presented at the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL2025).

Computational Linguistics 68

Computational Linguistics Large Language Models Neural Network Computer Vision 68

NLP People

APRIL 10, 2019

It’s Institute of Computational Linguistics , which includes the Phonetics Laboratory , lead by Martin Volk and Volker Dellwo, as well as the URPP Language and Space perform research in NLP topics, such as machine translation, sentiment analysis, speech recognition and dialect detection.

NLP 52

NLP Computational Linguistics Natural Language Processing Data Mining 52

ODSC - Open Data Science

APRIL 3, 2023

She is currently the president of the Association of Computational Linguistics. Euro) in 2021. Iryna is co-director of the NLP program within ELLIS, a European network of excellence in machine learning.

Neural Network 117

Neural Network Natural Language Processing NLP Computational Linguistics 117

Explosion

JUNE 11, 2024

in computational linguistics from the Univ. Get ready for an enlightening journey into the world of AI and natural language understanding with Dr. Matthew Honnibal, Founder of Explosion.ai In our latest podcast episode, Dr. Honnibal, armed with a Ph.D.

Computational Linguistics 40

Computational Linguistics AI AI 40

NLP People

OCTOBER 9, 2018

Example: You hired and successfully integrated a PhD in Computational Linguistics and can grant her the freedom to design new solutions for your business issues — she will likely be motivated to enrich the IP portfolio of your company. The folks here often split into two camps — the mathematicians and the linguists.

NLP 52

NLP Computational Linguistics Data Scientist Algorithm 52

Google Research AI blog

FEBRUARY 17, 2023

In “ FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation ”, accepted for publication in Transactions of the Association for Computational Linguistics , we present an evaluation dataset used to measure MT systems’ ability to support regional varieties through a case study on Brazilian vs. European Portuguese and Mainland vs.

Data Scarcity 117

Data Scarcity Computational Linguistics Software Engineer Categorization 117

AssemblyAI

SEPTEMBER 18, 2023

These feats of computational linguistics have redefined our understanding of machine-human interactions and paved the way for brand-new digital solutions and communications. From self-driving cars to personalized online shopping experiences, these solutions are just in their infancy—and the sky is the limit.

Large Language Models 130

Large Language Models BERT Auto-complete LLM 130