While most machine translation systems to date are trained on large parallel corpora, humans learn language in a different way: by being grounded in an environment and interacting with other humans. In this work, we propose a communication game where two agents, native speakers of their own respective languages, jointly learn to solve a visual referential task. We find that the ability to under...

While most machine translation systems to date are trained on large parallel corpora, humans learn language in a different way: by being grounded in an environment and interacting with other humans. In this work, we propose a communication game where two agents, native speakers of their own respective languages, jointly learn to solve a visual referential task. We find that the ability to under...

In audiovisual translation, the multimodality of textual content is each a project and useful resource for subtitlers. This paper illustrates how multimodes provide facts that help subtitlers gain better understanding meaning-making practices so it will impact them to make decision-making in translating sure verbal content. Subtitlers may also restate texts based on multi-modes as visible visua...

FRUCTUOUS LIAISONS: THEORIES OF FRENCH SEMIOTICIANS AS A SOURCE INSPIRATION FOR POLISH RESEARCHERS IN INTERSEMIOTIC TRANSLATION
 Today, reflection on film adaptation and intersemiotic translation oscillates between two extremes: “one-off” analyses of concrete works the one hand, global multimodal nature new media, other. From this perspective, intersemioticity is conceived as a quality “hi...

The aim of this article is to report on recent findings concerning the use Google Translate outputs in multimodal contexts. Development and evaluation machine translation often focus verbal mode, but accounts by area exploration text-image relations documents translated automatically are rare. Thus, work seeks describe just what such how them, organized two parts: firstly, exploring problem thr...

Machine translation makes it easy for people to communicate across languages. Multimodal machine is also one of the important directions research in translation, which uses feature information such as images and audio assist models obtaining higher quality target However, vast majority current work has been conducted on basis commonly used corpora English, French, German, less done low-resource...