The interplay between language similarity and script on a novel multi-layer Algerian dialect corpus
Recent years have seen a rise in interest for cross-lingual transfer between languages with similar typology, and between languages of various scripts. However, the interplay between language similarity and difference in script on cross-lingual transfer is a less studied problem. We explore this interplay on cross-lingual transfer for two supervised tasks, namely part-of-speech tagging and sentiment analysis. We introduce a newly annotated corpus of Algerian user-generated comments comprising parallel annotations of Algerian written in Latin, Arabic, and code-switched scripts, as well as annotations for sentiment and topic categories. We perform baseline experiments by fine-tuning multi-lingual language models. We further explore the effect of script vs. language similarity in cross-lingual transfer by fine-tuning multi-lingual models on languages which are a) typologically distinct, but use the same script, b) typologically similar, but use a distinct script, or c) are typologically similar and use the same script. We find there is a delicate relationship between script and typology for part-of-speech, while sentiment analysis is less sensitive.
Code (1)
Tasks
Cross-Lingual TransferPart-Of-Speech TaggingSentiment AnalysisSimilar Papers 제목 키워드 기반
Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor
Text-based visual descriptors--ranging from simple class names to more descriptive phrases--are widely used in visual concept discovery and image classification with vision-language models (VLMs). Their effectiveness, ho…
Descriptiveimage-classificationImage ClassificationImage Pivoting for Learning Multilingual Multimodal Representations
In this paper we propose a model to learn multimodal multilingual representations for matching images and sentences in different languages, with the aim of advancing multilingual versions of image search and image unders…
Image DescriptionImage RetrievalSemantic Textual SimilarityScene Graph Generation with Role-Playing Large Language Models
Current approaches for open-vocabulary scene graph generation (OVSGG) use vision-language models such as CLIP and follow a standard zero-shot pipeline -- computing similarity between the query image and the text embeddin…
DescriptiveGraph GenerationScene Graph GenerationPhotoBot: Reference-Guided Interactive Photography via Natural Language
We introduce PhotoBot, a framework for fully automated photo acquisition based on an interplay between high-level human language guidance and a robot photographer. We propose to communicate photography suggestions to the…
Language ModelingLanguage ModellingLarge Language ModelSemantic Similarity+1SAGE: Spatial-visual Adaptive Graph Exploration for Efficient Visual Place Recognition
Visual Place Recognition (VPR) requires robust retrieval of geotagged images despite large appearance, viewpoint, and environmental variation. Prior methods focus on descriptor fine-tuning or fixed sampling strategies ye…
parameter-efficient fine-tuningVisual Place Recognition