Ancient languages preserve the cultures and histories of the past. However, their study is
fraught with difficulties, and experts must tackle a range of challenging text-based tasks, from …

Cross-lingual dependency parsing approaches have been employed to develop
dependency parsers for the languages for which little or no treebanks are available using …

We propose an integrated deep learning model for morphological segmentation, morpheme
tagging, part-of-speech (POS) tagging, and syntactic parsing onto dependencies, using …

Treebank selection for parsing evaluation and the spurious effects that might arise from a
biased choice have not been explored in detail. This paper studies how evaluating on a …

Over the last several years, the field of Structured prediction in NLP has had seen huge
advancements with sophisticated probabilistic graphical models, energy-based networks …

State-of-the-art approaches to most Natural Language Processing (NLP) tasks have
achieved near human performance. This recent progress has positively impacted millions of …

In agglutinating languages, there is a strong relationship between morphology and syntax.
Inflectional and derivational suffixes have a significant role while determining the syntactic …