Document-level Neural MT: A Systematic Comparison

Each V1 cell is defined by a dynamic neuron entity, integrating in time the local motion information contained in the input stimulus together with the responses of neighboring

1 - Augustin(st), ), Oeuv.C.ST, De l’unité du baptême, L1, op cit.. 188 ؼثكملا دقعلا فإ ىلإ ؼديي فاك حجرلأا ىمع ةيسنكلا عماجممل ديحكت ةممك سئانك ايقيرفإ

Training topic models As in (Louis and Webber, 2014), we use Latent Dirichlet Allocation (LDA) (Blei et al., 2003) to train topic models on our monolingual biography data, taking

Each V1 cell is defined by a dynamic neuron entity, inte- grating in time the local motion information contained in the input stimulus together with the responses of neighbor- ing

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

Regarding the motion trajectories of markers (Fig. 4.1), the periodicities of body ancillary parts (midtorso and head) seem to match quite well those of the bow strokes in the

Trophic network in the Celtic/Biscay ecosystem from the 2012 Ecopath model (trophic levels are on the y-axis; circle sizes are proportional to the Log of the biomass of each

& By By using the using the Biomas Biomas multi multi - - agent system to agent system to s s imulate imulate transfers at territorial scale transfers at territorial