Latest Articles for Computational Linguistics

A new framework enhances structured prediction tasks in NLP using prompts and inference.

Explore how the x-elm approach enhances multilingual language processing.

This study evaluates how well LLMs remember structured knowledge from ontologies.

A new system aims to improve the analysis of Arabic nominals.

Research enhances translation quality using context-aware methods and sequence shortening techniques.

This study reveals key factors influencing translation performance for underrepresented languages.

This model improves sentence analysis for morphologically rich languages through joint segmentation and parsing.

EoT prompting enhances reasoning capabilities of language models through diverse prompt generation.

Investigating the impact of different optimizers on NLP tasks.

This study examines if learned speech symbols mimic word frequency patterns.

Introducing a faster method for high-quality speech synthesis using diffusion models.

Study reveals how Data Contamination affects LLM performance in SQL translation tasks.

This article examines how restart-incremental models improve language understanding amidst local ambiguities.

A new method to convert natural language into Corpus Query Language for linguistic research.

A new method enhances fine-tuning efficiency for language models across diverse tasks.

New method improves sentence embeddings using multiple prompts for better accuracy.

Discover why tokenization is key for computers to understand human language.

A look into how LLaMA-2 processes language using structured reasoning.

This article explores how paraphrasing improves language model performance in text classification.

This research reveals privacy threats in simpler topic models like LDA.

This study focuses on enhancing grammatical error correction using synthetic errors.

Exploring how language models induce syntactic structures without direct supervision.

A new method enhances parsing efficiency and accuracy for Hebrew language processing.

EXPLORER combines neural and symbolic reasoning to enhance AI in text-based games.

This article examines the structure and representation of numeric properties in language models.

New dataset and methods enhance NER for Bavarian dialect recognition.

A detailed approach to assessing machine translation quality with Multidimensional Quality Metrics.

This study compares SES methods for improved lemmatization across multiple languages.

Study reveals key factors influencing back-translation effectiveness.

This study investigates how language models grasp uncommon grammar structures.

An automated method for aligning discourse relations from different labeling systems.

This study focuses on refining smaller language models for South Slavic languages.

Examining how similar subwords affect language model learning and performance.

An overview of tokenization's role in language processing.

This work focuses on improving translation between German and Bavarian languages.

SpaceByte offers a byte-level approach to improve language model performance.

This article discusses methods for generating word sequences using various models.

Research shows potential of prior tokens in improving language model outputs.

An examination of how language models determine the truth of statements.

A new model improves translation accuracy by predicting coreference features.