Human computation is a new and evolving research area that centers around harnessing
human intelligence to solve computational problems that are beyond the scope of existing …

Machine transliteration is the process of automatically transforming the script of a word from
a source language to a target language, while preserving pronunciation. The development …

The development of deep learning techniques has allowed Neural Machine Translation
(NMT) models to become extremely powerful, given sufficient training data and training time …

Manual evaluation of translation quality is generally thought to be excessively time
consuming and expensive. We explore a fast and inexpensive way of doing it using …

This paper addresses the problem of producing a diverse set of plausible translations. We
present a simple procedure that can be used with any statistical machine translation (MT) …

In this paper, we consider the challenge of summarizing patients' medical progress notes in
a limited data setting. For the Problem List Summarization (shared task 1A) at the BioNLP …

Recently, confusion network decoding has been applied in machine translation system
combination. Due to errors in the hypothesis alignment, decoding may result in …

Text-to-SQL task maps natural language utterances to structured queries that can be issued
to a database. State-of-the-art (SOTA) systems rely on finetuning large, pre-trained language …

The need to meaningfully combine sets of rankings often comes up when one deals with
ranked data. Although a number of heuristic and supervised learning approaches to rank …

Machine translation (MT) is a sub-field of computational linguistics (CL) or natural language
processing (NLP) that investigates the use of software to translate text or speech from one …