[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-490060-105":59,"doc-detail-490060-en":124},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":117,"head_meta":119,"extra_data":121,"updated_unix":123},105,"en","making-headlines-in-hindi-automatic-english-to-hindi-news-headline-translation","Making Headlines in Hindi - Automatic English to Hindi News Headline Translation","","News headlines exhibit stylistic peculiarities. This translation engine performs automatic English-to-Hindi news headline translation while retaining Hindi headline style. It combines a modified translation unit and a co-occurrence-based post-processing module. The translation unit offers phrase-based and factor-based MT models trained on in-domain data, and an optional co-occurrence replacement step can be enabled by users. Evaluation shows the system handles several Hindi headline linguistic phenomena.",{"@graph":69,"@context":116},[70,84,99],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":30,"@type":76,"position":81},"https://docshare.wps.com/document/technology/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/making-headlines-in-hindi-automatic-english-to-hindi-news-headline-translation/490060/",{"url":83,"name":65,"@type":85,"author":86,"headline":65,"publisher":89,"fileFormat":92,"inLanguage":63,"description":67,"dateModified":93,"datePublished":93,"encodingFormat":92,"isAccessibleForFree":94,"interactionStatistic":95},"DigitalDocument",{"name":87,"@type":88},"Oliver","Person",{"url":74,"name":90,"@type":91},"DocShare","Organization","application/pdf","2026-10-01",true,{"@type":96,"interactionType":97,"userInteractionCount":4},"InteractionCounter",{"@type":98},"ViewAction",{"@type":100,"mainEntity":101},"FAQPage",[102,108,112],{"name":103,"@type":104,"acceptedAnswer":105},"What is the main goal of the “Making Headlines in Hindi” translation engine?","Question",{"text":106,"@type":107},"It automatically translates English news headlines into Hindi while preserving Hindi news headline style and structure as much as possible.","Answer",{"name":109,"@type":104,"acceptedAnswer":110},"What are the two central modules in the engine?",{"text":111,"@type":107},"A modified translation unit (based on Moses) and an optional co-occurrence-based post-processing module.",{"name":113,"@type":104,"acceptedAnswer":114},"Which translation models does the modified translation unit provide?",{"text":115,"@type":107},"It provides phrase-based and factor-based machine translation models, trained using in-domain data.","https://schema.org",{"og:url":83,"og:type":118,"og:title":65,"og:site_name":90,"og:description":67},"article",{"robots":120,"canonical":83},"index,follow",{"doc_id":122,"site_id":62},490060,1790832173,{"code":4,"msg":5,"data":125},{"doc_id":122,"user_id":126,"nickname":87,"user_avatar":127,"doc_module":4,"category_id":29,"category_name":30,"doc_title":65,"doc_description":67,"doc_content":128,"file_id":129,"file_url":130,"file_type":131,"file_size":132,"view_count":4,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":19,"language":133,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":134,"faqs":135,"seo_title":136,"seo_description":67,"update_tm":123,"read_time":52},8796095461610,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","Making Headlines in Hindi: Automatic English to Hindi News Headline Translation  \nAditya Joshi1,2 Kashyap Popat2 Shubham Gautam2 Pushpak Bhattacharyya2  \n1IITB-Monash Research Academy, IIT Bombay  \n2Dept. of Computer Science and Engineering, IIT Bombay  \n{adityaj,kashyap,shubhamg,[pb](pb}@cse.iitb.ac.in)[}](pb}@cse.iitb.ac.in)[@cse.iitb.ac.in](pb}@cse.iitb.ac.in)  \nAbstract  \nNews headlines exhibit stylistic peculiarities. The goal of our translation engine `Making Headlines in Hindi'is to achieve automatic translation of English news headlines to Hindi while retaining the Hindi news headline styles. There are two central modules of our engine: the modified translation unit based on Moses and a co-occurrencebased post-processing unit. The modified translation unit provides two machine translation (MT) models: phrase-based and factor-based (both using in-domain data) . In addition, a co-occurrence-based post-processing option may be turned on by a user. Our evaluation shows that this engine handles some linguistic phenomena observed in Hindi news headlines.  \n1 Introduction  \n` Making Headlines in Hindi' is a web-based translation engine for English to Hindi news headline translation. Hindi 1 is a widely spoken Indian language and has several news publications. The aim of our translation engine is to translate English news headlines to Hindi preserving the content as well as Hindi news headline structure to the extent possible. The engine is based on Moses2 and has two central parts: modified translation unit and a cooccurrence based post-processing unit. The modified translation unit consists of phrasebased MT (Koehn et al., 2003)) and factorbased MT (Koehn et al., 2007) . The automatic post-processing module performs co-occurrencebased replacement for correct sense translation  \n1[https://en.wikipedia.org/wiki/Hindi](https://en.wikipedia.org/wiki/Hindi)  \n2[http://www.statmt.org/moses/](http://www.statmt.org/moses/)  \nof words by replacing translation of a word with the most frequently co-occurring translation candidate. This paper is organized as follows. Section 2 presents challenges of translating news headlines. Section 3 describes the UI layout. Section 4 discusses technical details of the modified translation unit while section 5 describes the post-processing module that uses cooccurrence-based replacement of words. Finally, Section 6 presents an evaluation of the engine while section 7 concludes our work.  \n2 Challenges of News Headline Translation  \nHindi news headlines have stylistic features that pose challenges to translation as follows:  \n1. S-V-O order: Hindi news headlines often follow the S-V-O order as opposed to SO-V as commonly seen in Hindi sentences. A common news headline is `ab EthAw j􀀃l m􀀃\\ Eb-V bnAe\\g􀀃 cOVAlA (ab tihaaDjel mein biskooT banayenge chauTala; Now Chautala will make biscuits in Tihar jail)' where the verb `bnAe\\g􀀃 (banayenge; will make)' preceeds the object `cOVAlA (chauTala; Chautala) ' .  \n2. Numbers for people: Use of numbers to indicate a group of people, like in the case of English news headlines, is also common in Hindi news headlines. For example, the word `Five' in `Five held for molesting woman'stands for five people.  \n3. Preferred choice of words: Words that are commonly used in news headlines are often different from accurate translations. For example, `RBI' (abbreviation for `Reserve Bank of India') is common in English news headlines - however, instead of using its transliterated form, news headlines tend to  \n21  \nThe Companion Volume of the Proceedings of IJCNLP 2013: System Demonstrations, pages 21–24,  \nNagoya, Japan, 14-18 October 2013 .  \ntranslate it to `Er)v􀀍 b{\\k (rizarv bank; Reserve Bank)' in Hindi news headlines.  \n4. Missing verbs: Often, verbs are also dropped as in the case of `mhA\\B m􀀃\\ a)b-g)bs\\to kF BFw (mahakumbh mein ajab-gajabsanton kii bheeD; Herds of fascinating saints in Mahakumbh (fair))' where a form of the word `be' has been dropped.  \nFigure 1: Making Hea","cbCairaT1YguhmAV","https://ap.wps.com/l/cbCairaT1YguhmAV","pdf",320882,"English","# Abstract\n# 1 Introduction\n# 2 Challenges of News Headline Translation\n# 3 UI Layout\n# 4 Modified Translation Unit\n## 4.1 Phrase-based Model","[{\"question\":\"What is the main goal of the “Making Headlines in Hindi” translation engine?\",\"answer\":\"It automatically translates English news headlines into Hindi while preserving Hindi news headline style and structure as much as possible.\"},{\"question\":\"What are the two central modules in the engine?\",\"answer\":\"A modified translation unit (based on Moses) and an optional co-occurrence-based post-processing module.\"},{\"question\":\"Which translation models does the modified translation unit provide?\",\"answer\":\"It provides phrase-based and factor-based machine translation models, trained using in-domain data.\"}]","Making Headlines in Hindi - Automatic English to Hindi News Headline Translation | PDF"]