theoretical

FrameNet-assisted Noun Compound Interpretation

Given a noun compound (NC), we address the problem of predicting the appropriate semantic label linking the constituents of the NC. This problem is called Noun Compound Interpretation (NCI). We use FrameNet as a semantic label repository. For …

Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages

Cognates are variants of the same lexical form across different languages; for example 'fonema' in Spanish and 'phoneme' in English are cognates, both of which mean 'a unit of sound'. The task of automatic detection of cognates among any two …

A Survey on Using Gaze Behaviour for Natural Language Processing

Gaze behaviour has been used as a way to gather cognitive information for a number of years. In this paper, we discuss the use of gaze behaviour in solving different tasks in natural language processing (NLP) without having to record it at test time. …

"A Passage to India": Pre-trained Word Embeddings for Indian Languages

Dense word vectors or 'word embeddings' which encode semantic properties of words, have now become integral to NLP tasks like Machine Translation (MT), Question Answering (QA), Word Sense Disambiguation (WSD), and Information Retrieval (IR). In this …

Challenge Datasets of Cognate and False Friend Pairs for Indian Languages

Cognates are present in multiple variants of the same text across different languages (e.g., hund in German and hound in English language mean dog). They pose a challenge to various Natural Language Processing (NLP) applications such as Machine …

Recommendation Chart of Domains for Cross-Domain Sentiment Analysis: Findings of A 20 Domain Study

Cross-domain sentiment analysis (CDSA) helps to address the problem of data scarcity in scenarios where labelled data for a domain (known as the target domain) is unavailable or insufficient. However, the decision to choose a domain (known as the …

Strategies of Effective Digitization of Commentaries and Sub-commentaries: Towards the Construction of Textual History

This paper describes additional aspects of a digital tool called the ‘Textual History Tool’. We describe its various salient features with special reference to those of its features that may help the philologist digitize commentaries and …

"Keep Your Dimensions on a Leash": True Cognate Detection using Siamese Deep Neural Networks

Automatic Cognate Detection helps NLP tasks of Machine Translation, Information Retrieval, and Phylogenetics. Cognate words are defined as word pairs across languages which exhibit partial or full lexical similarity and mean the same (e.g., …

Harnessing Deep Cross-lingual Word Embeddings to Infer Accurate Phylogenetic Trees

Establishing language relatedness by inferring phylogenetic trees has been a topic of interest in the area of diachronic linguistics. However, existing methods face meaning conflation deficiency due to the usage of lexical similarity-based measures. …

Utilizing Word Embeddings based Features for Phylogenetic Tree Generation of Sanskrit Texts

Tracing the root of a text i.e., the original version of the text, by inferring phylogenetic trees has been a topic of interest in philological studies. However, existing methods face meaning conflation deficiency due to the usage of lexical …