Cross-lingual representations of words enable us to reason about word meaning in
multilingual contexts and are a key facilitator of cross-lingual transfer when developing …

We introduce GroundNet, a neural network for referring expression recognition---the task of
localizing (or grounding) in an image the object referred to by a natural language …

While cross-lingual word embeddings have been studied extensively in recent years, the
qualitative differences between the different algorithms remain vague. We observe that …

We present a novel, count-based approach to obtaining inter-lingual word representations
based on inverted indexing of Wikipedia. We present experiments applying these …

Ugarit is a public web-based tool for manual annotation of parallel texts for generating word-
level translation alignment. We aimed to develop a user-friendly interactive interface to …

Multilingual pretrained language models (mPLMs) have shown their effectiveness in
multilingual word alignment induction. However, these methods usually start from mBERT or …

This paper presents a workflow to systematically compare translations of Ancient Greek into
English and Persian through the analysis of parallel corpora aligned manually at word level …

This paper introduces the novel concept of a Multilingual Paraphrasary addressing its need
for paraphrasing and translation. The multilingual paraphrasary is an ongoing work carried …

This paper presents EvAlign, a visual analytics framework for quantitative and qualitative
evaluation of automatic translation alignment models. EvAlign offers various visualization …

This article presents a study of several parallel corpora of historical languages and their
translations. The aligned corpora are the result of a large crowdsourcing project, named …