Nothing Special   »   [go: up one dir, main page]

Rahmath et al., 2021 - Google Patents

Pre-trained Word Embeddings for Malayalam Language: A Review

Rahmath et al., 2021

Document ID
17962361849423739522
Author
Rahmath K
Raj P
Rafeeque P
Publication year
Publication venue
2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS)

External Links

Snippet

Word embeddings are used to convert human language into a numerical form by encoding the semantic properties of words. Using it each word can be transformed to a set of N- dimensional vectors. It plays a vital role in processing of linguistic applications like natural …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
    • G06F17/30684—Query execution using natural language analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/3066—Query translation
    • G06F17/30669—Translation of the query language, e.g. Chinese to English
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/28—Processing or translating of natural language
    • G06F17/2809—Data driven translation
    • G06F17/2827—Example based machine translation; Alignment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/28—Processing or translating of natural language
    • G06F17/2872—Rule based translation
    • G06F17/2881—Natural language generation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/27—Automatic analysis, e.g. parsing
    • G06F17/2705—Parsing
    • G06F17/271—Syntactic parsing, e.g. based on context-free grammar [CFG], unification grammars
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/27—Automatic analysis, e.g. parsing
    • G06F17/2785—Semantic analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/27—Automatic analysis, e.g. parsing
    • G06F17/2765—Recognition
    • G06F17/277—Lexical analysis, e.g. tokenisation, collocates
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/27—Automatic analysis, e.g. parsing
    • G06F17/2705—Parsing
    • G06F17/2715—Statistical methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/28—Processing or translating of natural language
    • G06F17/289—Use of machine translation, e.g. multi-lingual retrieval, server side translation for client devices, real-time translation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/21—Text processing
    • G06F17/22—Manipulating or registering by use of codes, e.g. in sequence of text characters
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/02—Knowledge representation
    • G06N5/022—Knowledge engineering, knowledge acquisition

Similar Documents

Publication Publication Date Title
Jain et al. Sarcasm detection in mash-up language using soft-attention based bi-directional LSTM and feature-rich CNN
Wang et al. Combining Knowledge with Deep Convolutional Neural Networks for Short Text Classification.
Althobaiti et al. AraNLP: A Java-based library for the processing of Arabic text
Svoboda et al. New word analogy corpus for exploring embeddings of Czech words
Rahimi et al. The impact of preprocessing on word embedding quality: A comparative study
Gaikwad et al. Adaptive glove and fasttext model for hindi word embeddings
Nazir et al. Toward the development of large-scale word embedding for low-resourced language
Jing et al. Stylized data-to-text generation: A case study in the e-commerce domain
Sitender et al. Sanskrit to universal networking language EnConverter system based on deep learning and context-free grammar
Sitender et al. Effect of GloVe, Word2Vec and fastText embedding on english and hindi neural machine translation systems
Afzal et al. Generative image captioning in Urdu using deep learning
Chimalamarri et al. Morphological segmentation to improve crosslingual word embeddings for low resource languages
Babanejad et al. The role of preprocessing for word representation learning in affective tasks
Arslan Application of BiLSTM-CRF model with different embeddings for product name extraction in unstructured Turkish text
Jong et al. Improving Performance of Automated Essay Scoring by Using Back‐Translation Essays and Adjusted Scores
Wu et al. Multi-Tasking for Aspect-Based Sentiment Analysis via Constructing Auxiliary Self-Supervision ACOP Task
Rahmath et al. Pre-trained Word Embeddings for Malayalam Language: A Review
CN116414988A (en) Graph convolution aspect emotion classification method and system based on dependency relation enhancement
Mahmoud et al. Similar meaning analysis for original documents identification in Arabic language
Yan Research on English Chinese Translation System for Tourism Based on Globish
Cao et al. End-to-end event factuality identification via hybrid neural networks
Goertzel et al. Guiding symbolic natural language grammar induction via transformer-based sequence probabilities
Choi et al. Korean erroneous sentence classification with Integrated Eojeol Embedding
Dwivedi et al. Semantic relations classification in Hindi compound nouns using embeddings
Ransing et al. A survey of different approaches for word sense disambiguation