| ★ |  80/20 rule in linguistic word corpus, domain specific language, nlp, natural language processing | | — | India | |
| 1 |  document structure, sentence boundary detection, code switching, sentence segmentation approaches | | — | India | 78 |
| 3 |  generative, descriminative, local classification methods, text tiling methods for topic segmentation | | — | India | 78 |
| 5 |  parsing techniques, constituency, dependency, top down, bottom up, chart, cyk, probabilistic parsing | | — | India | 77 |
| 8 |  word morphology, morphemes, words & components, root, prefix, suffix, stem, lemma, word vs morpheme | | — | India | 76 |
| 9 |  what are multilingual issues in syntactic analysis | nlp unit 2 | natural language processing | | — | India | 75 |
| 10 |  morphological parsing and modeling, morphological ambiguity, productivity and irregularities in NLP | | — | India | 75 |
| 11 |  tokens, clitics, lexemes, allomorphs in nlp with examples | natural language processing | unit 1 | | — | India | 74 |
| 13 |  extensions for global modelling in sentence segmentation, sentence segmentation in speech, text, nlp | | — | India | 73 |
| 18 |  One Word Substitution - English Grammar | MCQ Class | All Exams | LDC & CET 2026 | Lal Singh Sir | Utkarsh Rajasthan Exams @utkarshrajasthanexams | — | India | 67 |
| 16 |  English Grammar | Most Important Questions (Part-3) | LDC, CET & All Exams 2026 | Lal Singh Sir | Utkarsh Rajasthan Exams @utkarshrajasthanexams | 7.3K | India | 69 |
| 12 |  Natural language processing | NLP | complete unit 1 | Btech | NLP Subject unit 1 | | 3.2K | India | 73 |
| 14 |  English Grammar | Most Important Questions (Part-2) | LDC, CET & All Exams 2026 | Lal Singh Sir | Utkarsh Rajasthan Exams @utkarshrajasthanexams | 1.5K | India | 70 |
| 15 |  English Grammar | Most Important Questions (Part-1) | LDC, CET & All Exams 2026 | Lal Singh Sir | Utkarsh Rajasthan Exams @utkarshrajasthanexams | 1.3K | India | 70 |
| 17 |  Idiom and Phrases - English Grammar | MCQ Class | All Exams | LDC & CET 2026 | Lal Singh Sir | Utkarsh Rajasthan Exams @utkarshrajasthanexams | 1.1K | India | 68 |
| 7 |  enumerative, finite state, dictionary as a morphological model, finite state transducers in nlp | | 1.0K | India | 77 |
| 2 |  natural language processing, applications, challenges, spectrum of natural language, example | NLP | | 819 | India | 78 |
| 20 |  CLASS 07 | Articles in English Grammar | Definite & Indefinite Articles with Examples | GOVIND SIR | | 521 | India | 67 |
| 19 |  CLASS 05 | Articles in English Grammar | Definite & Indefinite Articles with Examples | GOVIND SIR | | 269 | India | 67 |
| 4 |  typology, analytic typology, isolating ,synthetic, agglutinative, fusional, non linear languages | | 178 | India | 77 |
| 6 |  automatic topic boundary segmentation, local, global classification, generative descriminative model | | 62 | India | 77 |