N-үздік қайта реттеу

We propose a new framework for N-best reranking on sparse feature sets. The idea is to reformulate the reranking problem as a Multitask Learning problem, where each N-best list corresponds …...

RWTH participated in the System Combi- nation task of the Fifth Workshop on Sta- tistical Machine Translation (WMT 2010). For 7 of the 8 language pairs, we com- bine 5 …...

Multi-Sentence Compression (MSC) is the task of generating a short single sentence sum- mary from a cluster of related sentences. This paper presents an N-best reranking method based on keyphrase …...

AbstractThis system paper describes an end-to-end NMT pipeline for the Japanese ↔ English news translation task as submitted to WMT 2021, where we explore the efficacy of techniques such as …...

AbstractDespite the progress in machine translation quality estimation and evaluation in the last years, decoding in neural machine translation (NMT) is mostly oblivious to this and centers around finding the …...