Interactive natural language processing
Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within
the field of NLP, aimed at addressing limitations in existing frameworks while aligning with …
the field of NLP, aimed at addressing limitations in existing frameworks while aligning with …
Skimming, locating, then perusing: A human-like framework for natural language video localization
This paper addresses the problem of natural language video localization (NLVL). Almost all
existing works follow the" only look once" framework that exploits a single model to directly …
existing works follow the" only look once" framework that exploits a single model to directly …
An energy-based model for word-level autocompletion in computer-aided translation
Word-level AutoCompletion (WLAC) is a rewarding yet challenging task in Computer-aided
Translation. Existing work addresses this task through a classification model based on a …
Translation. Existing work addresses this task through a classification model based on a …
Transmart: A practical interactive machine translation system
Automatic machine translation is super efficient to produce translations yet their quality is not
guaranteed. This technique report introduces TranSmart, a practical human-machine …
guaranteed. This technique report introduces TranSmart, a practical human-machine …
Findings of the word-level autocompletion shared task in wmt 2022
F Casacuberta, G Foster, G Huang… - Proceedings of the …, 2022 - aclanthology.org
Recent years have witnessed rapid advancements in machine translation, but the state-of-
the-art machine translation system still can not satisfy the high requirements in some …
the-art machine translation system still can not satisfy the high requirements in some …
Wets: A benchmark for translation suggestion
Translation Suggestion (TS), which provides alternatives for specific words or phrases given
the entire documents translated by machine translation (MT)\cite {lee2021intellicat}, has …
the entire documents translated by machine translation (MT)\cite {lee2021intellicat}, has …
Lingua custodia's participation at the wmt 2022 word-level auto-completion shared task
M Ailem, J Liu, JG Barthélemy… - Proceedings of the …, 2022 - aclanthology.org
Abstract This paper presents Lingua Custodia's submission to the WMT22 shared task on
Word Level Auto-completion (WLAC). We consider two directions, namely German-English …
Word Level Auto-completion (WLAC). We consider two directions, namely German-English …
Knowcomp submission for wmt23 word-level autocompletion task
The NLP community has recently witnessed the success of Large Language Models (LLMs)
across various Natural Language Processing (NLP) tasks. However, the potential of LLMs …
across various Natural Language Processing (NLP) tasks. However, the potential of LLMs …
Rethinking word-level auto-completion in computer-aided translation
X Chen, L Liu, G Huang, Z Zhang, M Yang… - arXiv preprint arXiv …, 2023 - arxiv.org
Word-Level Auto-Completion (WLAC) plays a crucial role in Computer-Assisted Translation.
It aims at providing word-level auto-completion suggestions for human translators. While …
It aims at providing word-level auto-completion suggestions for human translators. While …
Hw-tsc's submissions to the wmt22 word-level auto completion task
This paper presents the submissions of Huawei Translation Services Center (HW-TSC) to
WMT 2022 Word-Level AutoCompletion Task. We propose an end-to-end autoregressive …
WMT 2022 Word-Level AutoCompletion Task. We propose an end-to-end autoregressive …