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Lexical Analysis
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Lexical analysis is the process of converting a sequence of characters into a sequence of tokens (strings with an assigned and thus identified meaning). (Source: Adapted from Wikipedia)
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups
Difficult for Whom? A Study of Japanese Lexical Complexity
Beyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary?
Automated Tone Transcription and Clustering with Tone2Vec
Polarization and Morality: Lexical Analysis of Abortion Discourse on Reddit
Computational lexical analysis of Flamenco genres
MultiLS-SP/CA: Lexical Complexity Prediction and Lexical Simplification Resources for Catalan and Spanish
MultiLS: A Multi-task Lexical Simplification Framework
Towards Lexical Analysis of Dog Vocalizations via Online Videos
Japanese Lexical Complexity for Non-Native Readers: A New Dataset
Leveraging Natural Language Processing For Public Health Screening On YouTube: A COVID-19 Case Study
Lexical Complexity Prediction: An Overview
Happy or grumpy? A Machine Learning Approach to Analyze the Sentiment of Airline Passengers' Tweets
Automatic Readability Assessment of German Sentences with Transformer Ensembles
American cultural regions mapped through the lexical analysis of social media
Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification
CV4Code: Sourcecode Understanding via Visual Code Representations
Effect and Analysis of Large-scale Language Model Rescoring on Competitive ASR Systems
Evaluating Persian Tokenizers
cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora
SemEval-2021 Task 1: Lexical Complexity Prediction
LAST at SemEval-2021 Task 1: Improving Multi-Word Complexity Prediction Using Bigram Association Measures
LCP-RIT at SemEval-2021 Task 1: Exploring Linguistic Features for Lexical Complexity Prediction
OCHADAI-KYOTO at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction
BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models
UPB at SemEval-2021 Task 1: Combining Deep Learning and Hand-Crafted Features for Lexical Complexity Prediction
IITK@LCP at SemEval 2021 Task 1: Classification for Lexical Complexity Regression Task
Predicting Lexical Complexity in English Texts: The Complex 2.0 Dataset
Visual Exploration and Knowledge Discovery from Biomedical Dark Data
N-LTP: An Open-source Neural Language Technology Platform for Chinese
CompLex: A New Corpus for Lexical Complexity Prediction from Likert Scale Data
An Intelligent Data Analysis for Hotel Recommendation Systems using Machine Learning
Rethinking Text Attribute Transfer: A Lexical Analysis
Recognizing Topic Change in Search Sessions of Digital Libraries based on Thesaurus and Classification System
A Comprehensive Analysis of Twitter Trending Topics
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