Latest Articles for Computational Linguistics

A new method blends data strategies for enhanced text generation in AI.

Research investigates stacked layers in language models for enhanced performance.

A new method for enhancing soft prompt tuning efficiency and performance.

A new method enhances understanding of deverbal nouns in language processing.

A novel approach improves understanding and performance of word embeddings.

Examining how noise affects the understanding of language models.

CFG enhances language model performance by focusing on user prompts.

Efficient techniques for improving Earley parsing in natural language processing.

AutoHint improves prompt quality for better language model performance.

MorphPiece improves tokenization by focusing on linguistic structure for better NLP performance.

This article discusses enhancing speech recognition using confidence-based ensemble methods.

A new method enhances translation accuracy for low-resource languages.

Explores the importance of tokenization methods in enhancing natural language processing models.

This article discusses improving sentiment analysis using semantic role information.

SelfSeg offers a faster approach to handling rare words in translation.

Developing a parser for Middle High German using limited resources and Modern German data.

New methods boost efficiency in training text classification models across languages.

This study merges technology and tradition to analyze Sanskrit poetry.

Introducing PCRL, a technique for effective prompt compression in language models.

Compact word representations improve language model performance and efficiency.

A new method for guiding language models efficiently.

This study investigates how authorship representations capture writing styles using deep learning methods.

Enhancing how TinyBERT learns from BERT for better language processing.

A new approach combines traditional and neural methods for effective document ranking.

A method to enhance language models' performance on lengthy text generation.

Examining the evolution and future of multilingual language models.

New methods improve efficiency and accuracy in processing the Hungarian language.

A new approach improves unsupervised chunking in NLP using a hierarchical model.

A novel approach enhances pronoun resolution using BERT and syntactic information.

An overview of difficulties in discourse parsing and approaches to improve accuracy.

WISeR improves language meaning representation for better understanding and processing.

DebCSE framework enhances sentence embeddings by reducing biases during training.

SLIDE improves machine translation assessments by incorporating broader context during evaluation.

A look into contextual grammars and their role in language creation.

Explore the unique features and implications of signed grammars in language generation.

Research shows NMT models can adapt quickly with minimal examples.

A study on 13 transformer models specifically designed for the Russian language.

A look into new methods for translating languages using technology.

A study on how language models learn and recover grammatical structures.

The updated Spanish Resource Grammar improves language analysis and learning.