language pairs
Word Alignment for Languages with Scarce Resources Using Bilingual Corpora of Other Language Pairs
... For the subtask of unlimited resources, As- wani and Gaizauskas (2005) used a multi-feature approach for many-to-many word alignment on English-Hindi parallel corpora. This approach performed local word grouping on Hindi ...
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Automatic Evaluation of Translation Quality for Distant Language Pairs
... Callison-Burch et al. (2007) have performed differ- ent human evaluation methods for different language pairs and different corpora. Their Table 5 shows inter-annotator agreements for the human evaluation ...
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Edinburgh’s Machine Translation Systems for European Language Pairs
... 5-gram language models using the default settings of the SRILM toolkit in terms of singleton ...unpruned language models could give better performance, even if we are only able to train 4-gram models due to ...
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Overcoming the Rare Word Problem for low resource language pairs in Neural Machine Translation
... In another direction, (Sennrich et al., 2016b) exploited the BPE algorithm to reduce number of unknown words in NMT and achieved signif- icant efficiency on many language pairs. The sec- ond approach ...
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Multimodal Neural Machine Translation for Low resource Language Pairs using Synthetic Data
... resource language pair, Hindi and En- glish, using synthetic ...low-resource language pairs through the use of synthetic data and that such a system can benefit from im- age ...
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Parallel Corpora for bi Directional Statistical Machine Translation for Seven Ethiopian Language Pairs
... The language pairs have got different functions in the ...ing language of the Federal Government of ...working language of some other regional ...
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Plagiarism Detection across Distant Language Pairs
... both language pairs, CL-CNG obtained worse results than those reported for English- Polish by Potthast et ...when language pairs have a low syntactical relationship, CL-CNG is not an op- ...
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New Language Pairs in TectoMT
... We presented TectoMT, a tree-to-tree machine translation system with deep transfer, and its new features in this year’s edition of the WMT shared task, the main one being opening the system to new language ...
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Reducing Asymmetry between language pairs to Improve Alignment and Translation Quality
... Features from Section 3.1 are normalized to fall within [0,1]. The weights are tuned using a sim- ple grid-search that tried multiple combinations of weights, starting from 0 and keeping the sum of the weights equal to ...
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Bilingual dictionary generation for low resourced language pairs
... each language, an Inter-Lingual-Index interlinks word meaning across languages is implemented (Pe- ters et ...each language, thus not being sufficient for creating a dictionary with a large ...new ...
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Data Augmentation for Low Resource Neural Machine Translation
... low-resource language pairs this is not the case, resulting in poor translation qual- ...sentence pairs containing rare words in new, synthetically created ...
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A Tagging style Reordering Model for Phrase based SMT
... For current statistical machine translation system, reordering is still a major problem for language pairs like Chinese-English, where the source and target language have significant word order ...
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Exploring Adequacy Errors in Neural Machine Translation with the Help of Cross Language Aligned Word Embeddings
... various language pairs and subject domains (see Section 2) have shown that NMT outperforms other types of MT in terms of fluency, while at the same time being more prone to adequacy errors such as ...
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Cross Lingual Pronoun Prediction with Deep Recurrent Neural Networks
... both language pairs with English as the source language seem to benefit from shorter con- text, especially English-French pair which scores ...Other language pairs benefit from larger ...
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BUCC Shared Task: Cross Language Document Similarity
... The results are encouraging. Success@1 rates reach 0.71 for Chinese and 0.61 for French and German. However, this level of accuracy is still far from reliable identification of comparable pages. Given a small number of ...
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Findings of the 2014 Workshop on Statistical Machine Translation
... for language pairs (such as Czech-Russian) that we did not include in the evaluation, it did suf- fer from artifacts from the larger distance between source and target ...their language into a tar- ...
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Twitter Users #CodeSwitch Hashtags! #MoltoImportante #wow
... which language pairs do authors write in the first language and then incorporate a hashtag of the second language, (2) when tweets include a hashtag of a different language, which ...
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Divide and Conquer: Crowdsourcing the Creation of Cross Lingual Textual Entailment Corpora
... entailment pairs. Step2: TE Annotation. Entailment pairs com- posed of the original sentences (ENG) and the modi- fied ones (ENG1) are used as input of (monolingual) annotation HITs asking Turkers to decide ...
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Byte based Neural Machine Translation
... 4.3 Byte differences among language pairs Characters may be represented by a single or sev- eral bytes. English and its close languages usually have a correspondance of character and byte (a character is ...
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Noun and verb knowledge in monolingual preschool children across 17 languages: Data from cross-linguistic lexical tasks (LITMUS-CLT)
... of language pairs: Polish– Norwegian (Hansen et ...specific language impairment (SLI) in the lexical domain or for establishing the type of SLI (Friedmann & Novogrodsky, ...with language ...
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