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An approach to automatic translation is outlined that utilizes technklues of statistical inl'ormatiml extraction from large data bases. The method is based on the availability of pairs of large corresponding …...

Researchers in both machine Iranslation (e.g., Brown et al., 1990) and bilingual lexicography (e.g., Klavans and Tzoukermann, 1990) have recently become interested in studying parallel texts, texts such as the …...

In this paper, we describe a fast algorithm for aligning sentences with their translations in a bilingual corpus. Existing efficient algorithms ig- nore word identities and only consider sentence length …...

There have been a number of recent papers on aligning parallel texts at the sentence level, e.g., Brown et al (1991), Gale and Church (to appear), Isabelle (1992), Kay and …...

Labeling of sentence boundaries is a nec- essary prerequisite for many natural lan- guage processing tasks, including part-of- speech tagging and sentence alignment. End-of-sentence punctuation marks are ambiguous; to disambiguate …...

The first step in most corpus-based mul- tilingual NLP work is to construct a de- tailed map of the correspondence between a text and its translation. Several auto- matic methods …...

Sentence alignment is the problem of making explicit the relations that exist between the sentences of two texts that are known to be mutual translations. Automatic sentence alignment methods typically …...

The task of aligning sentences in parallel corpora of two languages has been well studied using pure sta- tistical or linguistic models. We developed a linguis- tic method based on …...

This paper describes the work achieved in the first half of a 4-year cooperative research project (ARCADE), financed by AUPELF-UREF. The project is devoted to the evaluation of paral- lel …...

Most current sentence alignment approaches adopt sentence length and cognate as the alignment features; and they are mostly trained and tested in the docu- ments with the same style. Since …...

We address the problem of sentence align- ment for monolingual corpora, a phe- nomenon distinct from alignment in par- allel corpora. Aligning large compara- ble corpora automatically would provide a …...

In this paper, we describe a method of automatic sentence alignment for building extracts from ab- stracts in automatic summarization research. Our method is based on two steps. First, we …...

We present a new approach to aligning sentences in bilingual parallel corpora based on punctuation, especially for English and Chinese. Although the length-based approach produces high accuracy rates of sentence …...

We describe a word alignment platform which ensures text pre-processing (to- kenization, POS-tagging, lemmatization, chunking, sentence alignment) as re- quired by an accurate word alignment. The platform combines two different …...

. The parallel corpus is an important resource in the research field of data-driven natural language processing, but there are only a few parallel corpora publicly available nowadays, mostly due …...

Parallel web pages are important source of training data for statistical machine translation. In this paper, we present a new approach to sentence alignment on parallel web pages. Parallel web …...

AbstractWe describe the compilation of a large corpus of French-Dutch sentence pairs from official Belgian documents which are available in the online version of the publication Belgisch Staatsblad/Moniteur belge, and …...

AbstractAn increasing demand for new language resources of recent EU members and accessing countries has in turn initiated the development of different language tools and resources, such as alignment tools …...

AbstractWe present DSim, a new sentence aligned Danish monolingual parallel corpus extracted from 3701 pairs of news telegrams and corresponding professionally simplified short news articles. The corpus is intended for …...

Sentence alignment is an important step in the preparation of parallel data. Most aligners do not perform very well when the input is a noisy, rather than a highly- parallel, …...

We introduce a method for learning to align sentences in monolingual parallel articles for text simplification. In our approach, word keyness is integrated to prefer aligning essential words in sentences. …...

AbstractSentence alignment is a task that consists in aligning the parallel sentences in a translated article pair. This paper describes a method to perform sentence boundary detection and alignment simultaneously, …...

AbstractThe biomedical scientific literature is a rich source of information not only in the English language, for which it is more abundant, but also in other languages, such as Portuguese, …...

The Scielo database is an important source of scientific information in Latin America, containing articles from several research domains. A striking characteristic of Scielo is that many of its full-text …...

We compare manual and automatic approaches to the problem of extracting bitexts from the Web in the framework of a case study on building a Russian-Kazakh parallel corpus. Our findings …...

AbstractThis paper describes the Alibaba Machine Translation Group submissions to the WMT 2020 Shared Task on Parallel Corpus Filtering and Alignment. In the filtering task, three main methods are applied …...

AbstractThis paper describes the building of the first Spanish-Croatian unidirectional parallel corpus, which has been constructed at the Faculty of Humanities and Social Sciences of the University of Zagreb. The …...

AbstractThe success of a text simplification system heavily depends on the quality and quantity of complex-simple sentence pairs in the training corpus, which are extracted by aligning sentences between parallel …...

AbstractWe propose a novel method of automatic sentence alignment from noisy parallel documents. We first formalize the sentence alignment problem as the independent predictions of spans in the target document …...

AbstractIn this paper, we propose to align sentence representations from different languages into a unified embedding space, where semantic similarities (both cross-lingual and monolingual) can be computed with a simple …...

In the turbulent world of 2022, where mass population movements due to war and disas- ter are becoming increasingly common, lan- guage skills are more relevant than ever. Peo- ple …...

AbstractSentence alignment is an essential step in studying the mapping among different language expressions, and the character trigram overlapping ratio was reported to be the most effective similarity measure in …...