Редакционное расстояние

To help developing a localization oriented EBMT system, an automatic machine translation evaluation method is implemented which adopts edit distance, cosine correlation and Dice coefficient as criteria. Experiment shows that …...

This paper presents a method to construct Japanese KATAKANA variant list from large corpus. Our method is useful for information retrieval, information extrac- tion, question answering, and so on, because …...

We propose a detection method for or- thographic variants caused by translit- eration in a large corpus. The method employs two similarities. One is string similarity based on edit distance. …...

In order to boost the translation quality of corpus-based MT systems for speech transla- tion, the technique of splitting an input sen- tence appears promising. In previous re- search, many …...

Sitting at the intersection between statis- tics and machine learning, Dynamic Bayesian Networks have been applied with much success in many domains, such as speech recognition, vision, and compu- tational …...

. This paper proposes a novel approach to spelling correction. It reranks the output of an existing spelling corrector, Aspell. A discriminative model (Ranking SVM) is employed to improve upon …...

We introduce a relation extraction method to identify the sentences in biomedical text that indicate an interaction among the protein names mentioned. Our approach is based on the analysis of …...

. In this paper, we propose a simple and effective method for speech understanding. The method incorporates some speech recognizers. We use two recognizers, a large vocabulary continuous speech recognizer …...

The Lexical Access (LA) problem in Com- puter Science aims to match a phoneme se- quence produced by the user to a correctly spelled word in a lexicon, with minimal …...

. We present an original and flexible implementation of the edit-distance: the filtered composition, a special kind of composition of two finite-state machines through a filter that mod- els all …...

We present a novel approach for automatic collocation error correction in learner English which is based on paraphrases extracted from parallel corpora. Our key assumption is that collocation errors are …...

Transliteration mining is aimed at building high quality multi-lingual named entity (NE) lexicons for improving performance in various Natural Language Processing (NLP) tasks in- cluding Machine Translation (MT) and Cross …...

AbstractArabic is a language known for its rich and complex morphology. Although many research projects have focused on the problem of Arabic morphological analysis using different techniques and approaches, very …...

Lexical-phonetic automata for spoken utterance indexing and retrieval This paper presents a method for indexing spoken utterances which combines lexical and phonetic hypotheses in a hybrid index built from automata. …...

Post-editing performed by translators is an increasingly common use of machine trans- lated texts. While high quality MT may in- crease productivity, post-editing poor transla- tions can be a frustrating …...

This paper describes Stanford University’s sub- mission to the Shared Evaluation Task of WMT 2012. Our proposed metric (SPEDE) com- putes probabilistic edit distance as predictions of translation quality. We …...

This paper describes Stanford University’s submission to SemEval 2012 Semantic Tex- tual Similarity (STS) shared evaluation task. Our proposed metric computes probabilistic edit distance as predictions of semantic sim- ilarity. …...

This paper aims at effective use of training da- ta by extracting sentences from large general- domain corpora to adapt statistical machine translation systems to domain-specific data. We regard this …...

The informal nature of social media text renders it very difficult to be automati- cally processed by natural language pro- cessing tools. Text normalization, which corresponds to restoring the non-standard …...

AbstractThis paper is concerned with human assessments of the severity of errors in ASR outputs. We did not design any guidelines so that each annotator involved in the study could …...

AbstractA translation memory system stores a data set of source-target pairs of translations. It attempts to respond to a query in the source language with a useful target text from …...

The statistical machine translation outputs are not error-free and in a high quality yet. So in the cases that we need high quality translations we definitely need the human intervention. …...

We show that applying semantic role label constraints to bracketing ITG alignment to train MT systems improves the quality of MT output in comparison to the conventional BITG and GIZA …...

AbstractThe emergence of the web has necessitated the need to detect and correct noisy consumer-generated texts. Most of the previous studies on English spelling-error extraction collected English spelling errors from …...

AbstractWhile an increasing number of (automatic) metrics is available to assess the linguistic quality of machine translations, their interpretation remains cryptic to many users, specifically in the translation community. They …...

Previous phrase-based approaches to Au- tomatic Post-editing (APE) have shown that the dependency of MT errors from the source sentence can be exploited by jointly learning from source and target …...

AbstractDialog is a core building block of human natural language interactions. It contains multi-party utterances used to convey information from one party to another in a dynamic and evolving manner. …...

AbstractLoanwords are words incorporated from one language into another without translation. Suppose two words from distantly-related or unrelated languages sound similar and have a similar meaning. In that case, this …...

In this paper, we define a sentence re- generation task: re-generate a sentence given a set of sentences that cover it. Due to the absence of a dataset to perform …...

AbstractWe propose the first character-level white-box adversarial attack method against transformer models. The intuition of our method comes from the observation that words are split into subtokens before being fed …...

AbstractRetrieve-edit-rerank is a text generation framework composed of three steps: retrieving for sentences using the input sentence as a query, generating multiple output sentence candidates, and selecting the final output …...