Using Broad Linguistic Complexity Modeling for Cross-Lingual Readability Assessment
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
The Roots of Performance Disparity in Multilingual Language Models: Intrinsic Modeling Difficulty or Design Choices?
Multilingual language models (LMs) promise broader NLP access, yet current systems deliver uneven performance across the world's languages. This survey examines why these gaps persist and whether they reflect intrinsic l…
CTAP for Italian: Integrating Components for the Analysis of Italian into a Multilingual Linguistic Complexity Analysis Tool
Linguistic complexity research being a very actively developing field, an increasing number of text analysis tools are created that use natural language processing techniques for the automatic extraction of quantifiable …
DiversityModeling the Readability of German Targeting Adults and Children: An empirically broad analysis and its cross-corpus validation
We analyze two novel data sets of German educational media texts targeting adults and children. The analysis is based on 400 automatically extracted measures of linguistic complexity from a wide range of linguistic domai…
Binary ClassificationCross-corpusInformation RetrievalText SimplificationA Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space
In cross-lingual language models, representations for many different languages live in the same space. Here, we investigate the linguistic and non-linguistic factors affecting sentence-level alignment in cross-lingual pr…
RetrievalSentenceMultilingual Pre-training with Universal Dependency Learning
The pre-trained language model (PrLM) demonstrates domination in downstream natural language processing tasks, in which multilingual PrLM takes advantage of language universality to alleviate the issue of limited resourc…
Dependency ParsingLanguage ModelingLanguage ModellingNatural Language Understanding+1