Тестовый корпус

We argue that the conventional approach to Interactive Machine ~Ih-anslation is not the best way to provide assistance to skilled translators, and propose an alter- native whose central feature is …...

We present a corpus-based study of the se- quential ordering among premodifiers in noun phrases. This information is important for the fluency of generated text in practical appli- cations. We …...

AbstractThis paper proposes a method for lexical transfer ambiguity resolution using corpus and conceptual information. Previous researches have restricted the use of linguistic knowledge to the lexical level. Since the …...

This paper describes a first attempt at a sta- tistical model for simultaneous syntactic pars- ing and generalized word-sense disambigna- tion. On a new data set we have constructed for …...

A parsing system returning analyses in the form of sets of grammatical relations can obtain high pre- cision if it hypothesises a particular relation only when it is certain that …...

Nowadays, many influential facts are re- ported multiple times by different sources and in different languages. This paper presents the results of an experiment on deploying cross-lingual information fu- sion …...

AbstractWe introduce a new approach to the machine-assisted grading of short answer questions. We follow past work in automated grading by first training a similarity metric between student responses, but …...

AbstractOver the last few decades, significant strides have been made in handwriting recognition (HR), which is the automatic transcription of handwritten documents. HR often focuses on modern handwritten material, but …...

As the quantity of annotated language data and the quality of machine learning algorithms have increased over time, statistical part-of-speech (POS) taggers trained over large datasets have become as robust …...

AbstractWe present sentence aligned parallel corpora across 10 Indian Languages - Hindi, Telugu, Tamil, Malayalam, Gujarati, Urdu, Bengali, Oriya, Marathi, Punjabi, and English - many of which are categorized as …...