Search Results for author: Chiraag Lala

Found 6 papers, 3 papers with code

MultiSubs: A Large-scale Multimodal and Multilingual Dataset

1 code implementation LREC 2022 Josiah Wang, Pranava Madhyastha, Josiel Figueiredo, Chiraag Lala, Lucia Specia

The dataset will benefit research on visual grounding of words especially in the context of free-form sentences, and can be obtained from https://doi. org/10. 5281/zenodo. 5034604 under a Creative Commons licence.

Multimodal Lexical Translation Multimodal Text Prediction +2

Grounded Word Sense Translation

no code implementations WS 2019 Chiraag Lala, Pranava Madhyastha, Lucia Specia

Recent work on visually grounded language learning has focused on broader applications of grounded representations, such as visual question answering and multimodal machine translation.

Grounded language learning Multimodal Machine Translation +3

Sheffield Submissions for WMT18 Multimodal Translation Shared Task

no code implementations WS 2018 Chiraag Lala, Pranava Swaroop Madhyastha, Carolina Scarton, Lucia Specia

For task 1b, we explore three approaches: (i) re-ranking based on cross-lingual word sense disambiguation (as for task 1), (ii) re-ranking based on consensus of NMT n-best lists from German-Czech, French-Czech and English-Czech systems, and (iii) data augmentation by generating English source data through machine translation from French to English and from German to English followed by hypothesis selection using a multimodal-reranker.

Data Augmentation Multimodal Machine Translation +4

Findings of the Third Shared Task on Multimodal Machine Translation

1 code implementation WS 2018 Lo{\"\i}c Barrault, Fethi Bougares, Lucia Specia, Chiraag Lala, Desmond Elliott, Stella Frank

In this task a source sentence in English is supplemented by an image and participating systems are required to generate a translation for such a sentence into German, French or Czech.

Multimodal Machine Translation Sentence +1

The Visualization of Change in Word Meaning over Time using Temporal Word Embeddings

no code implementations18 Oct 2014 Chiraag Lala, Shay B. Cohen

We describe a visualization tool that can be used to view the change in meaning of words over time.

Word Embeddings

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