Banister
发表于 2025-3-25 04:03:27
Mercedes García-Martínez,Loïc Barrault,Fethi Bougares
tenuous
发表于 2025-3-25 07:37:37
Denis Jouvet,Katarina Bartkova,Mathilde Dargnat,Lou Lee
字形刻痕
发表于 2025-3-25 15:13:04
Michal Novák,Kateřina Rysová,Magdaléna Rysová,Jiří Mírovský
烦人
发表于 2025-3-25 17:35:32
Etienne Papegnies,Vincent Labatut,Richard Dufour,Georges Linarès
盲信者
发表于 2025-3-25 20:43:47
Mathias Quillot,Cassandre Ollivier,Richard Dufour,Vincent Labatut
1FAWN
发表于 2025-3-26 00:22:08
http://reply.papertrans.cn/88/8765/876457/876457_26.png
多样
发表于 2025-3-26 07:43:16
http://reply.papertrans.cn/88/8765/876457/876457_27.png
ascetic
发表于 2025-3-26 11:40:32
Neural Machine Translation by Generating Multiple Linguistic Factorshe output side of the neural network. This architecture addresses two well-known problems occurring in MT, namely the size of target language vocabulary and the number of unknown tokens produced in the translation. FNMT system is designed to manage larger vocabulary and reduce the training time (for
Fulminate
发表于 2025-3-26 14:02:51
Analysis and Automatic Classification of Some Discourse Particles on a Large Set of French Spoken Coe semantic load of these words or expressions differ whether they are used as discourse particles or not. Therefore, the correct identification of their discourse function remains of great importance. In this paper the distribution of the discourse function (or not discourse function), and of the de
是突袭
发表于 2025-3-26 17:54:34
Learning Morphology of Natural Language as a Finite-State Grammarodeled by finite state machines (FSMs). We start with a baseline MDL-based learning algorithm. We then formulate well-motivated and general linguistic principles about morphology, and incorporate them into the algorithm as heuristics, to constrain the search space. We evaluate the algorithm on two h