The MeMAD project is nearing completion. It is time to start looking at what we have accomplished. In the beginning of this year, we held a series of three webinars, in which we presented the MeMAD results and insight collected during the project from three different viewpoints: accessibility, research and media production. In addition, we…
Yle, the Finnish Broadcasting Company, has published a blog post about the experiments our project has done with the machine-translated subtitles. Four video examples used in our consumer evaluations are also embedded in the article, shedding extra light on the two previous blog posts here in the MeMAD blog. Read more (in Finnish): https://yle.fi/aihe/artikkeli/2021/01/14/korean-kriisi-ja-zombeja-tornadossa-ylen-kokemuksia-automaattisista …
The beginning of 2021 will bring a lot of interesting activities to tune in online! The MeMAD project will host three webinars to present the final results and findings of the project. The MeMAD presence will begin by co-hosting an event on Accessibility with the Goethe-Institut Finnland as a part of Night of Science today!…
Earlier this year, we published some early findings from focus groups where viewers discussed their reactions to machine-translated subtitles. In the past few months, we have conducted another two focus groups and a questionnaire study on the same topic. One of the focus groups consisted of Finnish-speakers who watched two Swedish-language clips subtitled in Finnish, and…
End-to-end named entity recognition for spoken Finnish Named entity recognition (NER) is a natural language processing task in which the system tries to find named entities and classify them in predefined categories, such as person, location, organization, date and product. NER is an integral part of other large natural language processing tasks, such as information…
MeMAD project partners Lingsoft and University of Helsinki have received funding in the first call for pilot projects of the European Language Grid (ELG). The project funding stage was fairly competitive: Ten projects out of 110 applications were funded, and two out of these ten are tightly linked with the MeMAD project! These two pilot projects will…
MeMAD project partners have received recognition for their accomplishments. Three project innovations were recognized by the European Commission’s Innovation Radar. Innovation Radar is a European Commission initiative that champions potential innovations and innovators in EU-funded research and innovation framework programmes. The innovations are categorised in four different levels of market maturity. Exploring: Innovations are actively exploring…
One of MeMAD’s objectives has been to produce fully automated subtitles that are created from source language speech with automatic speech recognition, automatic segmentation and machine translation. We have previously conducted user tests where professional translators at the Finnish public broadcaster Yle post-edit machine-translated subtitles. The purpose of these tests is to see how automated subtitles…
At the end of July, MeMAD featured in a volume of ground-breaking research in the field of multimedia accessibility with the publication of Innovation in Audio Description Research (Routledge), an edited collection of projects pitched at the cutting edge of audiovisual research. In Comparing human and automated approaches to visual storytelling (Braun, Starr & Laaksonen),…
Maaseudun Tulevaisuus published two articles about machine translation and the MeMAD project, interviewing our researcher Maarit Koponen from the University of Helsinki Read more (in Finnish): Machine can translate and interpret even voice in the future: “It can be fairly useful for a tourist soon”, says a researcher. Do you know how Google Translate works…