Word alignments are useful for tasks like statistical and neural machine translation (NMT)
and cross-lingual annotation projection. Statistical word aligners perform well, as do …

Linguistic typology aims to capture structural and semantic variation across the world's
languages. A large-scale typology could provide excellent guidance for multilingual Natural …

One central mystery of neural NLP is what neural models" know" about their subject matter.
When a neural machine translation system learns to translate from one language to another …

In recent years linguistic typology, which classifies the world's languages according to their
functional and structural properties, has been widely used to support multilingual NLP. While …

Abstract Interlinear Glossed Text (IGT) is a rich data type produced by linguists for the
purposes of presenting an analysis of a language\'s semantic and grammatical properties. I …

This paper explores the ways in which the field of natural language processing (NLP) can
and does benefit from work in linguistic typology. I describe the recent increase in interest in …

Word alignment has many applications including cross-lingual annotation projection,
bilingual lexicon extraction, and the evaluation or analysis of translation outputs. Recent …

After a period of decrease, interest in word alignments is increasing again for their
usefulness in domains such as typological research, cross-lingual annotation projection …

We present a case study of the methodology of using information extracted from interlinear
glossed text (IGT) to create of actual working HPSG grammar fragments using the Grammar …

We propose to bring together two kinds of linguistic resources—interlinear glossed text (IGT)
and a language-independent precision grammar resource—to automatically create …