Challenges in Translating Technical Lectures: Insights from the NPTEL
- URL: http://arxiv.org/abs/2602.08698v1
- Date: Mon, 09 Feb 2026 14:15:42 GMT
- Title: Challenges in Translating Technical Lectures: Insights from the NPTEL
- Abstract summary: This study examines the practical applications and methodological implications of Machine Translation in Indian languages.<n>The choice of languages prioritized in this study is motivated by a triangulation of linguistic diversity.<n>The curation of a spontaneous speech corpora that accounts for lucid delivery of technical concepts is crucial in a diverse country like India.
- Score: 2.5859637119452548
- License: http://creativecommons.org/licenses/by-sa/4.0/
- Abstract: This study examines the practical applications and methodological implications of Machine Translation in Indian Languages, specifically Bangla, Malayalam, and Telugu, within emerging translation workflows and in relation to existing evaluation frameworks. The choice of languages prioritized in this study is motivated by a triangulation of linguistic diversity, which illustrates the significance of multilingual accommodation of educational technology under NEP 2020. This is further supported by the largest MOOC portal, i.e., NPTEL, which has served as a corpus to facilitate the arguments presented in this paper. The curation of a spontaneous speech corpora that accounts for lucid delivery of technical concepts, considering the retention of suitable register and lexical choices are crucial in a diverse country like India. The findings of this study highlight metric-specific sensitivity and the challenges of morphologically rich and semantically compact features when tested against surface overlapping metrics.
Related papers
- Shaping Schema via Language Representation as the Next Frontier for LLM Intelligence Expanding [88.11781604392606]
This paper defines language representation as the linguistic and symbolic constructs used to map and model the real world.<n>We argue that shaping schemas through advanced language representation is the next frontier for expanding Large Language Models.
arXiv Detail & Related papers (2026-05-10T02:42:29Z) - Predicate-Argument Structure Divergences in Chinese and English Parallel Sentences and their Impact on Language Transfer [6.834698677197089]
Cross-lingual Natural Language Processing offers practical solutions in low-resource settings.<n> linguistic divergences hinder language transfer, especially among typologically distant languages.<n>We present an analysis of predicate-argument structures in parallel Chinese and English sentences.
arXiv Detail & Related papers (2025-11-12T22:55:29Z) - Bridging Gaps in Natural Language Processing for Yorùbá: A Systematic Review of a Decade of Progress and Prospects [0.6554326244334868]
This review highlights the scarcity of annotated corpora, limited availability of pre-trained language models, and linguistic challenges like tonal complexity and diacritic dependency as significant obstacles.<n>The findings reveal a growing body of multilingual and monolingual resources, even though the field is constrained by socio-cultural factors such as code-switching and desertion of language for digital usage.
arXiv Detail & Related papers (2025-02-24T17:41:48Z) - LEVOS: Leveraging Vocabulary Overlap with Sanskrit to Generate Technical Lexicons in Indian Languages [39.08623113730563]
We propose a novel use-case of Sanskrit-based segments for linguistically informed translation of technical terms.<n>Our approach uses character-level segmentation to identify meaningful subword units.<n>We observe consistent improvements in two experimental settings for technical term translation using Sanskrit-derived segments.
arXiv Detail & Related papers (2024-07-08T18:50:13Z) - Multilingual Evaluation of Semantic Textual Relatedness [0.0]
Semantic Textual Relatedness (STR) goes beyond superficial word overlap, considering linguistic elements and non-linguistic factors like topic, sentiment, and perspective.
Prior NLP research has predominantly focused on English, limiting its applicability across languages.
We explore STR in Marathi, Hindi, Spanish, and English, unlocking the potential for information retrieval, machine translation, and more.
arXiv Detail & Related papers (2024-04-13T17:16:03Z) - Understanding Cross-Lingual Alignment -- A Survey [52.572071017877704]
Cross-lingual alignment is the meaningful similarity of representations across languages in multilingual language models.
We survey the literature of techniques to improve cross-lingual alignment, providing a taxonomy of methods and summarising insights from throughout the field.
arXiv Detail & Related papers (2024-04-09T11:39:53Z) - A Survey on Lexical Ambiguity Detection and Word Sense Disambiguation [0.0]
This paper explores techniques that focus on understanding and resolving ambiguity in language within the field of natural language processing (NLP)
It outlines diverse approaches ranging from deep learning techniques to leveraging lexical resources and knowledge graphs like WordNet.
The research identifies persistent challenges in the field, such as the scarcity of sense annotated corpora and the complexity of informal clinical texts.
arXiv Detail & Related papers (2024-03-24T12:58:48Z) - Natural Language Processing for Dialects of a Language: A Survey [56.93337350526933]
State-of-the-art natural language processing (NLP) models are trained on massive training corpora, and report a superlative performance on evaluation datasets.<n>This survey delves into an important attribute of these datasets: the dialect of a language.<n>Motivated by the performance degradation of NLP models for dialectal datasets and its implications for the equity of language technologies, we survey past research in NLP for dialects in terms of datasets, and approaches.
arXiv Detail & Related papers (2024-01-11T03:04:38Z) - Igniting Language Intelligence: The Hitchhiker's Guide From
Chain-of-Thought Reasoning to Language Agents [80.5213198675411]
Large language models (LLMs) have dramatically enhanced the field of language intelligence.
LLMs leverage the intriguing chain-of-thought (CoT) reasoning techniques, obliging them to formulate intermediate steps en route to deriving an answer.
Recent research endeavors have extended CoT reasoning methodologies to nurture the development of autonomous language agents.
arXiv Detail & Related papers (2023-11-20T14:30:55Z) - Quantifying the Dialect Gap and its Correlates Across Languages [69.18461982439031]
This work will lay the foundation for furthering the field of dialectal NLP by laying out evident disparities and identifying possible pathways for addressing them through mindful data collection.
arXiv Detail & Related papers (2023-10-23T17:42:01Z) - A Corpus for Sentence-level Subjectivity Detection on English News Articles [49.49218203204942]
We use our guidelines to collect NewsSD-ENG, a corpus of 638 objective and 411 subjective sentences extracted from English news articles on controversial topics.
Our corpus paves the way for subjectivity detection in English without relying on language-specific tools, such as lexicons or machine translation.
arXiv Detail & Related papers (2023-05-29T11:54:50Z) - An Inclusive Notion of Text [69.36678873492373]
We argue that clarity on the notion of text is crucial for reproducible and generalizable NLP.
We introduce a two-tier taxonomy of linguistic and non-linguistic elements that are available in textual sources and can be used in NLP modeling.
arXiv Detail & Related papers (2022-11-10T14:26:43Z) - AM2iCo: Evaluating Word Meaning in Context across Low-ResourceLanguages
with Adversarial Examples [51.048234591165155]
We present AM2iCo, Adversarial and Multilingual Meaning in Context.
It aims to faithfully assess the ability of state-of-the-art (SotA) representation models to understand the identity of word meaning in cross-lingual contexts.
Results reveal that current SotA pretrained encoders substantially lag behind human performance.
arXiv Detail & Related papers (2021-04-17T20:23:45Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.