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Found 18 papers, 13 papers with code
WMT20 Document-Level Markable Error Exploration
For an annotation experiment of two phases, we chose Czech and English documents translated by systems submitted to WMT20 News Translation Task.
A Formal Perspective on Byte-Pair Encoding
Via submodular functions, we prove that the iterative greedy version is a $\frac{1}{{\sigma(\boldsymbol{\mu}^\star)}}(1-e^{-{\sigma(\boldsymbol{\mu}^\star)}})$-approximation of an optimal merge sequence, where ${\sigma(\boldsymbol{\mu}^\star)}$ is the total backward curvature with respect to the optimal merge sequence $\boldsymbol{\mu}^\star$.
Re-visiting Automated Topic Model Evaluation with Large Language Models
Topic models are used to make sense of large text collections.
Enhancing Textbooks with Visuals from the Web for Improved Learning
Textbooks are the primary vehicle for delivering quality education to students.
PWESuite: Phonetic Word Embeddings and Tasks They Facilitate
In this work, we develop several novel methods which leverage articulatory features to build phonetically informed word embeddings, and present a set of phonetic word embeddings to encourage their community development, evaluation and use.
Multimodal Shannon Game with Images
To investigate the impact of multimodal information in this game, we use human participants and a language model (LM, GPT-2).
Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference
Machine translation quality estimation (QE) predicts human judgements of a translation hypothesis without seeing the reference.
Sentence Ambiguity, Grammaticality and Complexity Probes
It is unclear whether, how and where large pre-trained language models capture subtle linguistic traits like ambiguity, grammaticality and sentence complexity.
Fusing Sentence Embeddings Into LSTM-based Autoregressive Language Models
We present an LSTM-based autoregressive language model which uses prefix embeddings (from a pretrained masked language model) via fusion (e. g. concatenation) to obtain a richer context representation for language modelling.
EMMT: A simultaneous eye-tracking, 4-electrode EEG and audio corpus for multi-modal reading and translation scenarios
We present the Eyetracked Multi-Modal Translation (EMMT) corpus, a dataset containing monocular eye movement recordings, audio and 4-electrode electroencephalogram (EEG) data of 43 participants.
Knowledge Base Index Compression via Dimensionality and Precision Reduction
Finally, we show that it is possible to combine PCA with using 1bit per dimension.
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access
Many NLP models gain performance by having access to a knowledge base.
Neural Machine Translation Quality and Post-Editing Performance
We test the natural expectation that using MT in professional translation saves human processing time.
Backtranslation Feedback Improves User Confidence in MT, Not Quality
Translating text into a language unknown to the text's author, dubbed outbound translation, is a modern need for which the user experience has significant room for improvement, beyond the basic machine translation facility.
Sampling and Filtering of Neural Machine Translation Distillation Data
In most of neural machine translation distillation or stealing scenarios, the goal is to preserve the performance of the target model (teacher).
Leveraging Neural Machine Translation for Word Alignment
The most common tools for word-alignment rely on a large amount of parallel sentences, which are then usually processed according to one of the IBM model algorithms.
Outbound Translation User Interface Ptakopet: A Pilot Study
It is not uncommon for Internet users to have to produce a text in a foreign language they have very little knowledge of and are unable to verify the translation quality.
