You're viewing the US edition You can switch to the UK, AU or IE homepage at any time using this menu. Transgender New York Times executive who was shot dead'by his in-laws' abused BOTH his young children and left them with head injuries, wife claims Female death row inmate set to be executed TOMORROW reveals'kinship' with Lindsay Clancy Madonna's family make intervention: After forgetful and embarrassing VMAs comeback, insiders reveal clash between'control freak' star and her team Nobody wants to say this about Cindy Crawford after her son Presley Gerber's death... but maybe someone should: MAUREEN CALLAHAN Taylor Swift's unreleased suicide note song: Tracks the world was never meant to hear... including one her co-writer said is'the most chilling he's ever heard' Trump's Canadian whiskey ban hits Americans TODAY as trade war escalates - but president faces brutal warning from US experts I see so many male patients whose sleep is ruined by constantly needing to pee at night. What many don't realise is that they don't have a bladder problem... but a curable breathing issue: DR PHILIPPA KAYE'Presley never felt good enough. It bothered him enormously': Modeling agency owner tells ROB SHUTER the nasty industry rumor that haunted Gerber as a teenager'What next, put food on plates?!': Meghan mocked over latest hosting tips advising hosts to'have as much prepped as possible before guests arrive' Married blonde psychiatrist's sessions with teen patient ended in forbidden sex: Naked selfies, explicit messages... and how she showered him with gifts right under lawyer husband's nose Candace Owens in crisis: As family begs her to'disappear' and prays she isn't KILLED, insiders reveal whispers of a foreign reconnaissance mission... and her links to secret military location My son took his own life at 24, months before his wedding. I felt him leave from miles away... then realised the signs were there during our final Mother's Day together Prince Harry'wants to reconcile with William' but 30th anniversary of Diana's death'won't make any difference' in healing their rift, Omid Scobie claims Truth behind Kevin Costner's rotation of blondes: Christine Baumgartner split left him so'burned', there was only one way to revive his spirit... now, insiders spill on his daring next steps Mortifying restaurant humiliation for Mica Miller's pastor husband John-Paul during date night with wife... before a VERY petty TripAdvisor review appeared I was a lifelong atheist... until I saw proof God is real.

You're viewing the US edition You can switch to the UK or AU homepage at any time using this menu. Trump puts a date on when he believes Iran war will end as he looks to rally sinking Republicans: 'They can't hold out' Amazon cargo plane captain, 55, was a US Army Black Hawk helicopter pilot who has chalked up 7,000 flying hours...but experts claim the Miami crash was a royal'screw up' Team Sussex hit back after Uganda pulls out of the Invictus Games over the'Harry-Meghan nonsense'... and claims the move is'clearly a consequence' of King's letter insisting they are'private citizens' The King has slapped down Harry and Meghan... but this is the biggest revelation from his public letter. Pastor and dad of five dies after suffering horror injury in cruise ship swimming pool while celebrating his son's wedding I spoke to Charlie Kirk the night before he died. Lindsay Clancy'copycat's' husband and family lay son, 2, to rest at funeral while she faces judge in court Explicit tour-bus security cam footage that sparked Nashville's latest A-list divorce: Country star'in deep s***' after humiliated wife'saw it all' Two measles patients who died from virus identified... as controversy over counting deaths continues Trump's travel halted as emergency plane slide deployed on problematic new Air Force One My boyfriend's sex request is so degrading... Trump lashes out over claim he made up 9/11 rescue story: 'She's unattractive inside and out' Kim Zolciak's jailed son KJ Biermann, 15, makes legal move in multiple-charge sexual assault case to avoid adult prison sentence Tom Brady's Las Vegas Raiders suffer major blow as star is ruled OUT on eve of new NFL season Truth about the Falling Man: Sister of anonymous 9/11 jumper who became symbol of America's grief tells the heartbreaking full story, clues that led to him... and why she knows God'caught his spirit' and carried it to Heaven Rapist stepson of Norway's new King is shunned by his step-grandmother Queen Sonja at her husband's funeral...and earns a glare from the Bishop Scientists make discovery that matches the Bible's account of how God created the heavens READ MORE: I bled to death. As an atheist, I expected oblivion... but I entered the afterlife for six minutes and saw proof of what God is REALLY like.

Using equations based on orbital speeds, distances in space and the physics of turbulence, Dr Nathanael-Israel Israel claimed he uncovered evidence that the biblical account of creation was literally true. His calculations suggested that the Earth formed in 2.82 days and that the sun and moon were completed in 3.69 days, figures he said closely mirrored the timeline laid out in Genesis. Israel clarified that his formula produced separate figures of 3.32 days for the moon and 3.69 days for the sun, placing the completion of both celestial bodies on the fourth day. Because he believed no other major religion offered the same sequence of events, he argued that his work pointed specifically to the existence of the Christian God. 'People say you can't prove God, but the question is, "How can you prove God?" I'm the first person in history to offer this mathematical framework,' Dr Israel told the Daily Mail.

Trump dollar coin design released by Treasury... and it's inspired by the most iconic political photo of the century Top plastic surgeons reveal secrets behind Taylor Swift's'changing' face: 'It is looking very full' Shroud of Turin mystery deepens as surgeon spots hidden detail that points to Jesus' resurrection Hollywood A-listers pay me $50,000 to cure their drug addicted nepo-babies because they can't afford for these secrets to go public I'm no longer sleeping with my husband - and never will again, says MOLLY RYDDELL. I love him, but counted down the moments until he climaxed. Then I couldn't bear it any more and the truth spilled out... so many women feel the same Lori Loughlin's husband Mossimo Giannulli seen with mystery brunette in tiny skirt day after shock split I'm a woman with autism... here are the signs you might be masking, even from yourself Diddy sentenced to 50 MONTHS in prison for prostitution offenses as he's branded a vile and unrepentant woman beater I've loved Taylor Swift for years. I was so happy after trying a trendy new cosmetic procedure. But 10 years later I suffered a devastating side effect... the doctor had lied The'middle-class kinks' saving marriages: Wives reveal the eight buzzy sex trends that revived their lagging libidos - including the fantasy husbands are secretly obsessed with Cake-faced 90s sitcom star looks unrecognizable as she ditches the heavy eyeshadow for an LA errand run can you guess who?

Language identification (LID) is a critical step in curating multilingual LLM pretraining corpora from web crawls. While many studies on LID model training focus on collecting diverse training data to improve performance, low-resource languages -- often limited to single-domain data, such as the Bible -- continue to perform poorly. To resolve these class imbalance and bias issues, we propose a novel supervised contrastive learning (SCL) approach to learn domain-invariant representations for low-resource languages. Through an extensive analysis, we show that our approach improves LID performance on out-of-domain data for low-resource languages by 3.2%, demonstrating its effectiveness in enhancing LID models.

Scientists have uncovered hidden patterns in the Bible that challenge ancient beliefs about its origins. Using artificial intelligence, they discovered'fingerprints' in text throughout the Old Testament, suggesting multiple people wrote the stories. The traditional Jewish and Christian understanding is that Moses wrote the first five books of the Old Testament, including stories about creation, Noah's flood and the Ark of the Covenant. The new study found three distinct writing styles with distinct vocabulary, tone and focus areas, suggesting multiple authors and sources contributed to the books over time. Researchers used AI analyzed for 50 chapters across five books, uncovering inconsistencies in language and content, repeated stories, shifts in tone and internal contradictions.

From books and paintings to movies and musical theatre, artists have often drawn on the stories of the Bible for inspiration. Now, social media users are putting a distinctly modern twist on this trend by using AI to imagine biblical characters as influencers. In these videos, characters such as Adam and Eve, Samson, and David appear to'vlog' their way through the events of the Bible. In one viral video posted to X, a smiling Jesus declares from the cross: 'Yo fam, they don't know that G-O-D is about to BRB.' In another clip, an AI-generated character says: 'Your boy David here. About to yeet this little stone at Goliath and see what happens.' These short AI-generated clips have proven to be wildly popular online, with one TikTok account named theaibibleofficial racking up 26.7 million likes.

Rhetorical devices are difficult to translate, but they are crucial to the translation of literary documents. We investigate the use of multilingual embedding spaces to characterize the preservation of intertextuality, one common rhetorical device, across human and machine translation. To do so, we use Biblical texts, which are both full of intertextual references and are highly translated works. We provide a metric to characterize intertextuality at the corpus level and provide a quantitative analysis of the preservation of this rhetorical device across extant human translations and machine-generated counterparts. We go on to provide qualitative analysis of cases wherein human translations over- or underemphasize the intertextuality present in the text, whereas machine translations provide a neutral baseline. This provides support for established scholarship proposing that human translators have a propensity to amplify certain literary characteristics of the original manuscripts.

In addition, we pre-train text-to-text transformer, T5 model for Yorùbá and showed that this model outperform several multilingually trained T5 models. Lastly, we showed that more data and larger models are better at diacritization for Yorùbá Introduction Yorùbá, a language spoken predominantly in West Africa, is renowned for its tonal nature which is characterized by a heavy use of diacritics to signify tone variations. In Yorùbá and many other languages, diacritics play a crucial role in disambiguating word meanings and in word pronunciation, making accurate diacritization essential for effective communication and language processing tasks (Skiredj & Berrada, 2024). However, manual diacritization is time-consuming and requires specialized linguistic expertise, motivating the development of automatic diacritization systems. In recent years, significant progress has been made in natural language processing (NLP) techniques, leading to the exploration of various approaches to automate the diacritization process for languages using diacritics (Náplava et al., 2018; Mubarak et al., 2019; Náplava et al., 2021; Stankevicius et al., 2022, inter alia) including Yorùbá (Orife, 2018; Orife et al., 2020).

Neural Machine Translation (NMT) systems built on multilingual sequence-to-sequence Language Models (msLMs) fail to deliver expected results when the amount of parallel data for a language, as well as the language's representation in the model are limited. This restricts the capabilities of domain-specific NMT systems for low-resource languages (LRLs). As a solution, parallel data from auxiliary domains can be used either to fine-tune or to further pre-train the msLM. We present an evaluation of the effectiveness of these two techniques in the context of domain-specific LRL-NMT. We also explore the impact of domain divergence on NMT model performance. We recommend several strategies for utilizing auxiliary parallel data in building domain-specific NMT models for LRLs.