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Found 24 papers, 1 papers with code
Findings of the Fourth Workshop on Neural Generation and Translation
We describe the finding of the Fourth Workshop on Neural Generation and Translation, held in concert with the annual conference of the Association for Computational Linguistics (ACL 2020).
Scalable Multilingual Frontend for TTS
We take a Machine Translation (MT) inspired approach to constructing the frontend, and model both text normalization and pronunciation on a sentence level by building and using sequence-to-sequence (S2S) models.
Extraction of Templates from Phrases Using Sequence Binary Decision Diagrams
The extraction of templates such as ``regard X as Y'' from a set of related phrases requires the identification of their internal structures.
Findings of the Third Workshop on Neural Generation and Translation
This document describes the findings of the Third Workshop on Neural Generation and Translation, held in concert with the annual conference of the Empirical Methods in Natural Language Processing (EMNLP 2019).
Findings of the Second Workshop on Neural Machine Translation and Generation
This document describes the findings of the Second Workshop on Neural Machine Translation and Generation, held in concert with the annual conference of the Association for Computational Linguistics (ACL 2018).
Sentence Embedding for Neural Machine Translation Domain Adaptation
Although new corpora are becoming increasingly available for machine translation, only those that belong to the same or similar domains are typically able to improve translation performance.
A Prototype Automatic Simultaneous Interpretation System
Simultaneous interpretation allows people to communicate spontaneously across language boundaries, but such services are prohibitively expensive for the general public.
An Efficient and Effective Online Sentence Segmenter for Simultaneous Interpretation
Simultaneous interpretation is a very challenging application of machine translation in which the input is a stream of words from a speech recognition engine.
Neural Machine Translation with Supervised Attention
The attention mechanisim is appealing for neural machine translation, since it is able to dynam- ically encode a source sentence by generating a alignment between a target word and source words.
Introducing the Asian Language Treebank (ALT)
The project has so far created a corpus for Myanmar and will extend in scope to include other languages in the near future.
Khmer Word Segmentation Using Conditional Random Fields
The trained CRF segmenter was compared empirically to a baseline approach based on maximum matching that used a dictionary extracted from the manually segmented corpus.
