… , or even sub-word level. In this paper, we address the problem of identifying language at
the word level in code-mixed texts using a sequence of characters and word embedding. We …

… This paper describes the application of the code mixed index in Indian social … language
identification for code-mixed text proposed in this paper is implemented using word embedding …

… a cross-lingual word embedding model based on code-mixed … We will call these embeddings
code-mixed word embeddings… Word embeddings for code-mixed language processing. In …

… code mixed dataset, to obtain Hinglish word embeddings. … vectors aligned with multilingual
word embeddings after generation using MUSE with FastText pre aligned word embeddings. …

… codemixed text for POS tagging. We develop an approach for scraping and building word
embeddings for codemixed … the perspectives of both Natural Language Processing (NLP) and …

… -lingual embeddings for solving the problem of code-mixed … We specifically investigate the
use of these embeddings for a … Word embeddings for code-mixed language processing. In …

… meta embedding with a transformer method for sentiment analysis on the Dravidian code-mixed …
Sitaram, Word embeddings for code-mixed language processing, in: Proceedings of the …

… used in each word is important for language processing. The major … language
identification for code-mixed text proposed in this paper is implemented using word embedding …

… embedding, sub-word embedding and closely related languages of languages in the code
mixed corpus to create a meta-embedding… from natural language processing experts and …

… of transliterated code mixed data. Alekseev et al. [10] Consider word embedding as an
efficient feature and proposed entity extraction for user profiling using word-embedding features. …