Bilingual Corpus

The paper describes an algorithm that employs English and French text taggers to associate noun phrases in an aligned bilingual corpus. The tag- gets provide part-of-speech categories which are used …...

In this paper, we describe an algorithm for aligning words with their translation in a bilingual corpus. Existing algorithms require enormous bilingual data to train statistical word-to-word translation models. Using …...

This paper proposes a new model of machine translation system in which rule-based and example-based approaches are applied for English-to-Thai sentence translation. The proposed method has 4 steps :1) analyze …...

In this paper we present a new, multi- lingual data-driven method for coreference resolution as implemented in the SWIZZLE system. The results obtained after training this system on a bilingual …...

In this paper, a method for the word alignment of English-Chinese corpus based on chunks is proposed. The chunks of English sentences are identified firstly. Then the chunk boundaries of …...

Automatically acquiring synonymous col- location pairs such as <turn on, OBJ, light> and <switch on, OBJ, light> from corpora is a challenging task. For this task, we can, in general, …...

We describe an approach to tagging a monolin- gual dictionary with linguistic features. In par- ticular, we annotate the dictionary entries with parts of speech, number, and tense information. The …...

. We describe a Machine Translation (MT) approach that is specifically designed to enable rapid development of MT for languages with limited amounts of online resources. Our approach assumes the …...

Most machine translators are implemented using example based, rule based, and statistical approaches. However, each of these paradigms has its drawbacks. Example based and statistical based approaches are domain specific …...

In this paper we describe the CMU statistical machine translation system used in the IWSLT 2005 evaluation campaign. This system is based on phrase-to-phrase translations extracted from a bilingual corpus. …...

AbstractIn this paper, we discuss techniques to combine an interlingua translation framework with phrase-based statistical methods, for translation from Chinese into English. Our goal is to achieve high-quality translation, suitable …...

AbstractThis paper presents our study of exploiting morpho-syntactic information for phrase-based statistical machine translation (SMT). For morphological transformation, we use hand-crafted transformational rules. For syntactic transformation, we propose a transformational …...

This paper proposes a novel method for phrase-based statistical machine translation by using pivot language. To conduct trans- lation between languages Lf and Le with a small bilingual corpus, we …...

AbstractThis paper presents a method for compiling a large-scale bilingual corpus from a database of movie subtitles. To create the corpus, we propose an algorithm based on Gale and Church’s …...

. Systematic cross-linguistic studies of verbs syntactic-semantic behaviors for ty- pologically distant languages such as Mandarin Chinese and French are difficult to conduct. Such studies are nevertheless necessary due to …...

AbstractWith the development of speech and language processing, speech translation systems have been developed. These studies target spoken dialogues, and employ consecutive interpretation, which uses a sentence as the translation …...

. In statistical machine translation, the number of sentence pairs in the bilingual corpus is very important to the quality of translation. However, when the quantity reaches some extent, enlarging …...

The present article introduces a phrase- alignment approach that involves the processing of a small bilingual corpus in order to extract suitable structural infor- mation. This is used in the …...

We present a novel strategy to derive new translation units using an additional bilin- gual corpus and a previously trained SMT system. The units were used to adapt the SMT …...

This paper presents a novel approach to pivot-based machine translation (MT): while the state-of-the-art uses two statisti- cal systems, this proposal treats the second system as a black box. Our …...

Statistical phrase-based translation learns translation rules from bilingual corpora, and has traditionally only used monolin- gual evidence to construct features that rescore existing translation candidates. In this work, we present …...

In this paper we present a method of detecting zero pronouns in Japanese clauses and identifying their antecedents using aligned sentence pairs from a Japanese-English bilingual corpus and open resource …...

Automatically generating a natural lan- guage description of an image is a fun- damental problem in artificial intelligence. This task involves both computer vision and natural language processing and is …...

Neural-based and phrase-based methods have shown the effectiveness and promising results in the development of current machine transla- tion. The two methods are compared on some European languages, which show …...

In this paper, we present the design of a bilingual corpus of French learners of Korean and Korean learners of French using the same experimental design. This language resource contains …...

Current publicly available Chinese FrameNet has a relatively low coverage of frames and lexical units compared with FrameNet in other languages. Frames are incompletely specified for some lexical units, and …...

Bilingual corpus is an important resource for many applications of natural language pro- cessing (NLP). About low-resource language pairs, it is more necessary to build them au- tomatically. In this …...

AbstractLanguages are dynamic systems: word usage may change over time, reflecting various societal factors. However, all languages do not evolve identically: the impact of an event, the influence of a …...

AbstractThis paper describes our work in the WMT 2021 Machine Translation using Terminologies Shared Task. We participate in the shared translation terminologies task in English to Chinese language pair. To …...

AbstractOver the past decade, researchers have started to explore the use of NLP to develop tools aimed at helping the public, vendors, and regulators analyze disclosures made in privacy policies. …...

AbstractWe applied text classification methods on a corpus of product reviews we created with the help of a questionnaire. We found that for certain values, “traditional” deep neural networks like …...

AbstractAs technical fields become ever more specialized, and with continuous emergence of novel technical terms, it may not be always possible to avail of bilingual experts in the field to …...