Software Requirement Specification (SRS) describes a software system to be developed
that captures the functional, non-functional, and technical aspects of the stakeholder's …

The tremendous development in Natural Language Processing (NLP) has enabled the
detection of bilingual and multilingual textual similarity. One of the main challenges of the …

Word translation is a natural language processing task that provides translation between the
words of a source and a target language. As a task, it reduces to the induction of a bilingual …

This paper focuses on dataset class imbalances to address Named Entity Recognition
(NER) difficulties in low-resource languages like Malayalam. The main goal is to draw …

Automatic detection of grammatical aspect of Russian verbs based on their morphological
properties Page 1 hhu.de Automatic detection of grammatical aspect of Russian verbs based …

In the past decade, text classification has been a popular research field for automatically
categorizing documents into relevant categories. Predicting classes for input samples based …

In this paper we focus upon building on the existing methods of using persona and auxiliary
information on improving and humanizing a conversational model as there are still …

Abstract Named Entity Recognition (NER) is a subclass of Information Extraction (IE) activity
that captures text information and meaning of words from unstructured input. NER's goal is to …

Human-computer interaction has increased drastically over the last decade. Large
Language models hold immense potential in revolutionizing these interactions by …

Many languages lack sufficient data to train qualitative translation systems, particularly those
based on the cutting-edge neural machine translation architectures. Recently, it has been …